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🔥 Key Accounts Director, Japan

Posted about 14 hours ago

📍 Japan

🔍 Software infrastructure

🏢 Company: CIQ👥 101-250💰 $26,000,000 Series A almost 3 years agoInformation Technology Software

🔧 Requirements

Extensive knowledge of infrastructure - both on-prem, hybrid, and multi-cloud with familiarity with Open-Source, HPC, enterprise performance computing, AI/ML, and NLP infrastructure
Deep understanding of the enterprise software ecosystem, particularly with Linux distributions like Rocky Linux, and experience in complex regulatory and compliance environments
Exceptional account management and business development skills, with a track record of closing complex, high-value deals in Japan’s business landscape
Expertise in navigating corporate structures and partnerships, particularly within the networks of various corporate families
Familiarity with Japan’s corporate and legal frameworks, especially regarding establishing local entities and employment structures
Strong executive presence with exceptional sales and presentation skills. Ability to confidently engage and influence executives, delivering compelling narratives that drive decision-making and close high-value deals
Great organizational skills and the ability to manage multiple projects while driving strategic growth for CIQ Japan
Fluency in both Japanese and English, with a deep cultural understanding of how to effectively manage business relationships in Japan

💡 Responsibilities

Develop and nurture relationships with key decision-makers at major Japanese companies, maintain a deep understanding of their business objectives and challenges to effectively position CIQ’s offerings
Identify and pursue new collaboration, growth, and revenue opportunities in the Japanese market, expanding the adoption of CIQ’s solutions, such as Rocky Linux.
Work closely with CIQ’s technical, product, and sales teams to align with the goals of Japanese entities, manage joint projects, and support key customer accounts and channel partnerships
Develop and execute account strategies that align with CIQ’s broader business objectives, formalizing account plans.
Ensure Japanese customers receive top-tier support, addressing technical and operational challenges, and ensure a smooth delivery of solutions like Rocky Linux and Fuzzball
Track and report on account performance, pipeline growth, project milestones, and customer satisfaction, using data-driven insights to inform strategy and decision-making

Leadership Business Development Cloud Computing Hadoop Strategic Management CI/CD Negotiation Linux Compliance Account Management Relationship management Sales experience

Posted about 14 hours ago

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🔥 Mid Level Data Engineer

Posted 5 days ago

📍 São Paulo, Rio Grande do Sul, Rio de Janeiro, Belo Horizonte

🔍 Data field

🏢 Company: TELUS Digital Brazil

🔧 Requirements

3+ years in the Data field
Experience in the construction and optimization of data pipelines, architectures, and 'big data' datasets
Proficiency with Apache Spark with a general-purpose programming language such as Python or Scala
Ability to create processes supporting data transformation, data structures, metadata, dependency, and workload management
Experience with big data tools: Hadoop, Spark, Kafka, etc.
Experience with relational SQL databases
Experience with data pipeline and workflow management tools

💡 Responsibilities

Be responsible for expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection for cross functional teams;
Create and maintain optimal data pipeline architecture;
Assemble large, complex data sets that meet business requirements;
Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc;
Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources.
Work with data and analytics experts to strive for greater functionality in our data systems.

AWS Python SQL Cloud Computing ETL GCP Hadoop Kafka Airflow Azure Data engineering Scala

Posted 5 days ago

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🔥 Data Engineer

Posted 5 days ago

📍 United States

💸 112800.0 - 126900.0 USD per year

🔍 Software Development

🏢 Company: Titan Cloud

🔧 Requirements

4+ years of work experience with ETL, Data Modeling, Data Analysis, and Data Architecture.
Experience operating very large data warehouses or data lakes.
Experience with building data pipelines and applications to stream and process datasets at low latencies.
MySQL, MSSQL Database, Postgres, Python

💡 Responsibilities

Design, implement, and maintain standardized data models that align with business needs and analytical use cases.
Optimize data structures and schemas for efficient querying, scalability, and performance across various storage and compute platforms.
Provide guidance and best practices for data storage, partitioning, indexing, and query optimization.
Developing and maintaining a data pipeline design.
Build robust and scalable ETL/ELT data pipelines to transform raw data into structured datasets optimized for analysis.
Collaborate with data scientists to streamline feature engineering and improve the accessibility of high-value data assets.
Designing, building, and maintaining the data architecture needed to support business decisions and data-driven applications. This includes collecting, storing, processing, and analyzing large amounts of data using AWS, Azure, and local tools and services.
Develop and enforce data governance standards to ensure consistency, accuracy, and reliability of data across the organization.
Ensure data quality, integrity, and completeness in all pipelines by implementing automated validation and monitoring mechanisms.
Implement data cataloging, metadata management, and lineage tracking to enhance data discoverability and usability.
Work with Engineering to manage and optimize data warehouse and data lake architectures, ensuring efficient storage and retrieval of structured and semi-structured data.
Evaluate and integrate emerging cloud-based data technologies to improve performance, scalability, and cost efficiency.
Assist with designing and implementing automated tools for collecting and transferring data from multiple source systems to the AWS and Azure cloud platform.
Work with DevOps Engineers to integrate any new code into existing pipelines
Collaborate with teams in trouble shooting functional and performance issues.
Must be a team player to be able to work in an agile environment

AWS PostgreSQL Python SQL Agile Apache Airflow Cloud Computing Data Analysis ETL Hadoop MySQL Data engineering Data science REST API Spark Communication Skills Analytical Skills CI/CD Problem Solving Terraform Attention to detail Organizational skills Microservices Teamwork Data visualization Data modeling Scripting

Posted 5 days ago

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🔥 Senior Software Engineer, Data

Posted 6 days ago

📍 United States

🧭 Full-Time

💸 177000.0 - 213000.0 USD per year

🔍 FinTech

🏢 Company: Flex

🔧 Requirements

A minimum of 6 years of industry experience in the data infrastructure/data engineering domain.
A minimum of 6 years of experience with Python and SQL.
A minimum of 3 years of industry experience using DBT.
A minimum of 3 years of industry experience using Snowflake and its basic features.
Familiarity with AWS services, with industry experience using Lambda, Step Functions, Glue, RDS, EKS, DMS, EMR, etc.
Industry experience with different big data platforms and tools such as Snowflake, Kafka, Hadoop, Hive, Spark, Cassandra, Airflow, etc.
Industry experience working with relational and NoSQL databases in a production environment.
Strong fundamentals in data structures, algorithms, and design patterns.

💡 Responsibilities

Design, implement, and maintain high-quality data infrastructure services, including but not limited to Data Lake, Kafka, Amazon Kinesis, and data access layers.
Develop robust and efficient DBT models and jobs to support analytics reporting and machine learning modeling.
Closely collaborating with the Analytics team for data modeling, reporting, and data ingestion.
Create scalable real-time streaming pipelines and offline ETL pipelines.
Design, implement, and manage a data warehouse that provides secure access to large datasets.
Continuously improve data operations by automating manual processes, optimizing data delivery, and redesigning infrastructure for greater scalability.
Create engineering documentation for design, runbooks, and best practices.

AWS Python SQL Bash Design Patterns ETL Hadoop Java Kafka Snowflake Airflow Algorithms Cassandra Data engineering Data Structures Nosql Spark Communication Skills CI/CD RESTful APIs Terraform Written communication Documentation Data modeling Debugging

Posted 6 days ago

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🔥 Technical Support Engineer

Posted 8 days ago

📍 Netherlands

🔍 Software Development

🏢 Company: Dataiku👥 1001-5000💰 $200,000,000 Series F over 2 years agoArtificial Intelligence (AI)Big Data Data Integration Analytics Enterprise Software

🔧 Requirements

At least 3 years of experience in a client-facing engineering or technical role, ideally involving a complex and rapidly evolving software/product
Experience with cloud platforms such as AWS, Azure, and GCP
Experience with Docker and Kubernetes
Collaborative and helpful mindset with a focus on always working as a team
A strong competency in technical problem solving with demonstrated experience performing advanced log analysis, debugging, and reproducing errors
Proficiency working with Unix-based operating systems
Experience with relational databases (or data warehouses like Snowflake) and SQL
Ability to read and write Python or R code

💡 Responsibilities

Help EMEA and global customers solve their technical issues with Dataiku through a variety of communication channels
Communicate with our R&D team to solve complex issues and/or share feedback from our EMEA customers for future product improvement
Work with other customer-facing teams when escalating or rerouting issues to help ensure a proper and efficient / timely resolution
Document knowledge in the form of technical articles and contribute to knowledge bases or forums within specific areas of expertise
Occasionally wear multiple hats and help out with other activities in a fast-paced and dynamic startup team environment

AWS Docker Python SQL GCP Hadoop Kubernetes LDAP Azure REST API Spark Communication Skills Analytical Skills CI/CD Problem Solving Written communication Excellent communication skills Troubleshooting Active listening JSON Data visualization Technical support Scripting Debugging Customer support English communication

Posted 8 days ago

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🔥 Software Engineer- Data Engineering

Posted 9 days ago

📍 India

🔍 Software Development

🏢 Company: GroundTruth Careers

🔧 Requirements

Tech./B.E./M.Tech./MCA or equivalent in computer science
3-4 years of experience in Data Engineering
Experience with AWS Stack used for Data engineering EC2, S3, Athena, Redshift, EMR, ECS, Lambda, and Step functions
Experience in Hadoop, Mapreduce, Pig, Spark, Glue
Hands on experience with Python for orchestration of data pipelines and Data engineering tasks
Experience in writing analytical queries using SQL
Experience in Airflow
Experience in Docker
Proficient in in Git

💡 Responsibilities

Create and maintain various data pipelines for the GroundTruth platform.
Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS ‘big data’ technologies.
Work with stakeholders including the Product, Analytics and Client Services teams to assist with data-related technical issues and support their data infrastructure needs.
Prepare detailed specifications and low-level design.
Participate in code reviews.
Test the product in controlled, real situations before going live.
Maintain the application once it is live.
Contribute ideas to improve the location platform.

AWS Docker Python SQL Apache Airflow ETL Git Hadoop Data engineering Spark

Posted 9 days ago

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🔥 Staff Data Scientist, Ads Experimentation

Posted 9 days ago

📍 United States

🧭 Full-Time

💸 217000.0 - 303900.0 USD per year

🔍 Software Development

🏢 Company: Reddit👥 1001-5000💰 $410,000,000 Series F over 3 years ago🫂 Last layoff almost 2 years agoNews Content Social Network Social Media

🔧 Requirements

M.S.: 10+ years of industry data science experience, emphasizing experimentation and causal inference.
Ph.D.: 6+ years of industry data science experience, emphasizing experimentation and causal inference
Master's or Ph.D. in Statistics, Economics, Computer Science, or a related quantitative field
Expertise in experimental design, A/B testing, and causal inference
Proficiency in statistical programming (Python/R) and SQL
Demonstrated ability to apply statistical principles of experimentation (hypothesis testing, p-values, etc.)
Experience with large-scale data analysis and manipulation
Strong technical communication skills for both technical and non-technical audiences
Ability to thrive in fast-paced, ambiguous environments and drive action
Desire to mentor and elevate data science practices
Experience with digital advertising and marketplace dynamics (preferred)
Experience with advertising technology (preferred)

💡 Responsibilities

Lead the design, implementation, and analysis of sophisticated A/B tests and experiments, leveraging innovative techniques like Bayesian approaches and causal inference to optimize complex ad strategies
Extract critical insights through in-depth analysis, developing automated tools and actionable recommendations to drive impactful decisions Define and refine key metrics to empower product teams with a deeper understanding of feature performance
Partner with product and engineering to shape experiment roadmaps and drive data-informed product development
Provide technical leadership, mentor junior data scientists, and establish best practices for experimentation
Drive impactful results by collaborating effectively with product, engineering, sales, and marketing teams

AWS Python SQL Apache Airflow Data Analysis Hadoop Machine Learning Numpy Cross-functional Team Leadership Product Development Algorithms Data engineering Data science Regression testing Pandas Spark Communication Skills Analytical Skills Mentoring Data visualization Data modeling A/B testing

Posted 9 days ago

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🔥 Sr. Data Engineer

Posted 11 days ago

📍 United States

🧭 Full-Time

💸 126100.0 - 168150.0 USD per year

🔍 Data Engineering

🏢 Company: firstamericancareers

🔧 Requirements

5+ years of development experience with any of the following software languages: Python or Scala, and SQL (we use SQL & Python) with cloud experience (Azure preferred or AWS).
Hands-on data security and cloud security methodologies. Experience in configuration and management of data security to meet compliance and CISO security requirements.
Experience creating and maintaining data intensive distributed solutions (especially involving data warehouse, data lake, data analytics) in a cloud environment.
Hands-on experience in modern Data Analytics architectures encompassing data warehouse, data lake etc. designed and engineered in a cloud environment.
Proven professional working experience in Event Streaming Platforms and data pipeline orchestration tools like Apache Kafka, Fivetran, Apache Airflow, or similar tools
Proven professional working experience in any of the following: Databricks, Snowflake, BigQuery, Spark in any flavor, HIVE, Hadoop, Cloudera or RedShift.
Experience developing in a containerized local environment like Docker, Rancher, or Kubernetes preferred
Data Modeling

💡 Responsibilities

Build high-performing cloud data solutions to meet our analytical and BI reporting needs.
Design, implement, test, deploy, and maintain distributed, stable, secure, and scalable data intensive engineering solutions and pipelines in support of data and analytics projects on the cloud, including integrating new sources of data into our central data warehouse, and moving data out to applications and other destinations.
Identify, design, and implement internal process improvements, such as automating manual processes, optimizing data delivery, and re-designing infrastructure for greater scalability, etc.
Build and enhance a shared data lake that powers decision-making and model building.
Partner with teams across the business to understand their needs and develop end-to-end data solutions.
Collaborate with analysts and data scientists to perform exploratory analysis and troubleshoot issues.
Manage and model data using visualization tools to provide the company with a collaborative data analytics platform.
Build tools and processes to help make the correct data accessible to the right people.
Participate in active rotational support role for production during or after business hours supporting business continuity.
Engage in collaboration and decision making with other engineers.
Design schema and data pipelines to extract, transform, and load (ETL) data from various sources into the data warehouse or data lake.
Create, maintain, and optimize database structures to efficiently store and retrieve large volumes of data.
Evaluate data trends and model simple to complex data solutions that meet day-to-day business demand and plan for future business and technological growth.
Implement data cleansing processes and oversee data quality to maintain accuracy.
Function as a key member of the team to drive development, delivery, and continuous improvement of the cloud-based enterprise data warehouse architecture.

AWS Docker Python SQL Agile Apache Airflow Cloud Computing ETL Hadoop Kubernetes Snowflake Apache Kafka Azure Data engineering Spark Scala Data visualization Data modeling Data analytics

Posted 11 days ago

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🔥 Sr Software Engineer - Flight Control (Remote, CAN)

Posted 13 days ago

📍 Canada

💸 150000.0 - 225000.0 CAD per year

🔍 Cybersecurity

🏢 Company: crowdstrikecareers

🔧 Requirements

Degree in Computer Science (or commensurate experience in data structures/algorithms/distributed systems).
The ability to scale backend systems – sharding, partitioning, scaling horizontally are second nature to you.
The desire to ship code and the love of seeing your bits run in production.
Deep understanding of distributed systems and scalability challenges.
Deep understanding of multi-threading, concurrency, and parallel processing technologies.
Team player skills – we embrace collaborating as a team as much as possible.
A thorough understanding of engineering best practices from appropriate testing paradigms to effective peer code reviews and resilient architecture.
The ability to thrive in a fast paced, test-driven, collaborative and iterative programming environment.
The skills to meet your commitments on time and produce high quality software that is unit tested, code reviewed, and checked in regularly for continuous integration.

💡 Responsibilities

Lead backend engineering efforts from rapid prototypes to large-scale applications across CrowdStrike products.
Leverage and build cloud based systems to detect targeted attacks and automate cyber threat intelligence production at a global scale.
Brainstorm, define, and build collaboratively with members across multiple teams.
Obsess about learning, and champion the newest technologies & tricks with others, raising the technical IQ of the team.
Be mentored and mentor other developers on web, backend and data storage technologies and our system.
Constantly re-evaluate our product to improve architecture, knowledge models, user experience, performance and stability.
Be an energetic ‘self-starter’ with the ability to take ownership and be accountable for deliverables.
Use and give back to the open source community.

AWS Backend Development GraphQL Python Software Development Cloud Computing Cybersecurity ElasticSearch Git Hadoop Kafka MySQL Algorithms Cassandra Data Structures Go Redis Communication Skills CI/CD Problem Solving RESTful APIs Microservices Teamwork

Posted 13 days ago

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🔥 Principal Data Engineer

Posted 15 days ago

📍 United States

🧭 Full-Time

💸 180000.0 - 200000.0 USD per year

🔍 Data Engineering

🏢 Company: InMarket👥 251-500💰 $11,500,000 Debt Financing almost 4 years agoDigital Marketing Advertising Mobile Advertising Marketing

🔧 Requirements

Strong SQL experience
Expert in a data pipelining framework (Airflow, Luigi, etc.)
Experience building ETL pipelines with Python, SQL, and Spark
Strong software engineering skills in Java or Python
Experience optimizing data warehouses on cloud platforms
Understanding of Big Data Technologies (Hadoop, Spark)
Knowledge of Kubernetes, Docker, and CD/CI best practices
B.S. or M.S. in Computer Science or a related field

💡 Responsibilities

Design and implement ETL pipelines in Apache Airflow, Big Query, Python, and Spark
Promote Data Engineering best practices
Architect and plan complex cross team projects
Provide technical guidance to engineers
Communicate analyses effectively to stakeholders
Identify areas for process improvement

Docker Python SQL Apache Airflow GCP Hadoop Kubernetes Spark

Posted 15 days ago

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