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Apache Airflow

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🔥 Backend Data Developer - Scraping & Conversión de Java a Python

Posted about 5 hours ago

📍 Argentina, Colombia, Peru, Bolivia, Plurinational State of, Mexico

🧭 Contract

💸 2300.0 - 2500.0 USD per month

🔍 Software Development

🏢 Company: Workana

🔧 Requirements

Experience with Selenium, Puppeteer or Playwright.
Experience with Java (Spring Boot, Jsoup, HttpClient) and Python (Scrapy, Selenium, Playwright, FastAPI).
Experience with pandas and NumPy.
Knowledge in SQL databases (PostgreSQL, MySQL, SQL Server).
Implementation of scrapers in scalable environments with Docker and Kubernetes.
Deployment in AWS or GCP.

💡 Responsibilities

Development and maintenance of scrapers for extracting data from web portals.
Refactorization and optimization of legacy scrapers in Java towards Python.
Implementation of more efficient architectures to improve performance.

AWS Backend Development Docker GraphQL PostgreSQL Python SQL Apache Airflow ETL GCP Java Java EE Kubernetes MySQL Numpy Spring Boot Data engineering FastAPI REST API Pandas Selenium CI/CD Microservices JSON Data management

Posted about 5 hours ago

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🔥 Senior Data Engineer (DataBricks)

Posted about 7 hours ago

📍 Lithuania

💸 4000.0 - 6000.0 EUR per month

🔍 Software Development

🏢 Company: Softeta

🔧 Requirements

4+ years of experience as a Data Engineer
Experience with Azure (Certifications are a Plus)
Experience with Databricks, Azure Data Lake, Data Factory and Apache Airflow
CI/CD or infrastructure as code
Knowledge of Medallion Architecture or Multihop architecture
Experience developing and administering ETL processes in the Cloud (Azure, AWS or GCP) environment
Strong programming skills in Python and SQL
Strong problem-solving and analytical skills

💡 Responsibilities

Design, develop, and maintain data pipelines and ETL processes
Data modeling, data cleansing
Automating data processing workflows using tools such as Airflow or other workflow management tools
Optimizing the performance of databases, including designing and implementing data structures and using indexes appropriately
Implement data quality and data governance processes
Being a data advocate and helping unlock business value by using data

Python SQL Apache Airflow ETL Azure Data engineering CI/CD Data modeling

Posted about 7 hours ago

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🔥 Senior Data Engineer

Posted about 10 hours ago

📍 United States

💸 144000.0 - 180000.0 USD per year

🔍 Software Development

🏢 Company: Hungryroot👥 101-250💰 $40,000,000 Series C almost 4 years agoArtificial Intelligence (AI)Food and Beverage E-Commerce Retail Consumer Goods Software

🔧 Requirements

5+ years of experience in ETL development and data modeling
5+ years of experience in both Scala and Python
5+ years of experience in Spark
Excellent problem-solving skills and the ability to translate business problems into practical solutions
2+ years of experience working with the Databricks Platform

💡 Responsibilities

Develop pipelines in Spark (Python + Scala) in the Databricks Platform
Build cross-functional working relationships with business partners in Food Analytics, Operations, Marketing, and Web/App Development teams to power pipeline development for the business
Ensure system reliability and performance
Deploy and maintain data pipelines in production
Set an example of code quality, data quality, and best practices
Work with Analysts and Data Engineers to enable high quality self-service analytics for all of Hungryroot
Investigate datasets to answer business questions, ensuring data quality and business assumptions are understood before deploying a pipeline

AWS Python SQL Apache Airflow Data Mining ETL Snowflake Algorithms Amazon Web Services Data engineering Data Structures Spark CI/CD RESTful APIs Microservices JSON Scala Data visualization Data modeling Data analytics Data management

Posted about 10 hours ago

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🔥 Senior Machine Learning Engineer II

Posted about 13 hours ago

📍 India

🔍 Software Development

🏢 Company: Apollo.io👥 501-1000💰 $100,000,000 Series D over 1 year agoSoftware Development

🔧 Requirements

8+ years of experience building Machine Learning or AI systems
Experience deploying and managing machine learning models in the cloud
Experience working with fine tuning LLMs and prompt engineering
Strong analytical and problem-solving skills
Proven software engineering skills in production environment, primarily using Python
Experience with Machine Learning software tools and libraries (e.g., Scikit-learn, TensorFlow, Keras, PyTorch, etc.)

💡 Responsibilities

Design, build, evaluate, deploy and iterate on scalable Machine Learning systems
Understand the Machine Learning stack at Apollo and continuously improve it
Build systems that help Apollo personalize their users’ experience
Evaluate the performance of machine learning systems against business objectives
Develop and maintain scalable data pipelines that power our algorithms
Implement automated monitoring, alerting, self-healing (restartable/graceful failures) features while productionizing data & ML workflows
Write unit/integration tests and contribute to engineering wiki

Python SQL Apache Airflow Cloud Computing Data Analysis Keras Machine Learning MLFlow Numpy PyTorch Algorithms REST API Tensorflow Software Engineering

Posted about 13 hours ago

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🔥 Sr. Data Engineer

Posted 2 days ago

📍 United States

🔍 Software Development

🏢 Company: ge_externalsite

🔧 Requirements

Exposure to industry standard data modeling tools (e.g., ERWin, ER Studio, etc.).
Exposure to Extract, Transform & Load (ETL) tools like Informatica or Talend
Exposure to industry standard data catalog, automated data discovery and data lineage tools (e.g., Alation, Collibra, TAMR etc., )
Hands-on experience in programming languages like Java, Python or Scala
Hands-on experience in writing SQL scripts for Oracle, MySQL, PostgreSQL or HiveQL
Experience with Big Data / Hadoop / Spark / Hive / NoSQL database engines (i.e. Cassandra or HBase)
Exposure to unstructured datasets and ability to handle XML, JSON file formats

💡 Responsibilities

Work independently as well as with a team to develop and support Ingestion jobs
Evaluate and understand various data sources (databases, APIs, flat files etc. to determine optimal ingestion strategies
Develop a comprehensive data ingestion architecture, including data pipelines, data transformation logic, and data quality checks, considering scalability and performance requirements.
Choose appropriate data ingestion tools and frameworks based on data volume, velocity, and complexity
Design and build data pipelines to extract, transform, and load data from source systems to target destinations, ensuring data integrity and consistency
Implement data quality checks and validation mechanisms throughout the ingestion process to identify and address data issues
Monitor and optimize data ingestion pipelines to ensure efficient data processing and timely delivery
Set up monitoring systems to track data ingestion performance, identify potential bottlenecks, and trigger alerts for issues
Work closely with data engineers, data analysts, and business stakeholders to understand data requirements and align ingestion strategies with business objectives.
Build technical data dictionaries and support business glossaries to analyze the datasets
Perform data profiling and data analysis for source systems, manually maintained data, machine generated data and target data repositories
Build both logical and physical data models for both Online Transaction Processing (OLTP) and Online Analytical Processing (OLAP) solutions
Develop and maintain data mapping specifications based on the results of data analysis and functional requirements
Perform a variety of data loads & data transformations using multiple tools and technologies.
Build automated Extract, Transform & Load (ETL) jobs based on data mapping specifications
Maintain metadata structures needed for building reusable Extract, Transform & Load (ETL) components.
Analyze reference datasets and familiarize with Master Data Management (MDM) tools.
Analyze the impact of downstream systems and products
Derive solutions and make recommendations from deep dive data analysis.
Design and build Data Quality (DQ) rules needed

AWS PostgreSQL Python SQL Apache Airflow Apache Hadoop Data Analysis Data Mining Erwin ETL Hadoop HDFS Java Kafka MySQL Oracle Snowflake Cassandra Clickhouse Data engineering Data Structures REST API Nosql Spark JSON Data visualization Data modeling Data analytics Data management

Posted 2 days ago

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🔥 Sr Data Scientist - (Remote - US)

Posted 2 days ago

📍 United States

🔍 Medical device, pharmaceutical, clinical, or biotechnology

🏢 Company: Jobgether👥 11-50💰 $1,493,585 Seed about 2 years agoInternet

🔧 Requirements

Proficiency in SQL and programming with R or Python
Experience with Google Cloud Platform (BigQuery, Storage, Compute Engine) is highly valued.
Strong problem-solving skills and the ability to work independently or as part of a team.
Excellent communication skills, able to convey complex statistical concepts to non-technical stakeholders.

💡 Responsibilities

Organize and merge data from diverse sources, ensuring data quality and integrity.
Identify and resolve bottlenecks in data processing and analysis, implementing solutions like automation and optimization.
Collaborate with clinical and technical teams to streamline data collection and entry processes.
Perform statistical analysis, data visualization, and generate reports for clinical studies and other projects.
Prepare summary statistics, tables, figures, and listings for presentations and publications.

Python SQL Apache Airflow Data Mining ETL GCP Algorithms Data engineering Pandas Spark Data visualization Data modeling Data analytics Data management

Posted 2 days ago

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🔥 Senior Data Engineer

Posted 4 days ago

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

🔍 Data Engineering

🏢 Company: TELUS Digital Brazil

🔧 Requirements

At least 3 years of experience as Data Engineer
Have actively participated in the design and development of data architectures
Hands-on experience in developing and optimizing data pipelines
Experience working with databases and data modeling projects, as well as practical experience utilizing SQL
Effective English communication - able to explain technical and non-technical concepts to different audiences
Experience with a general-purpose programming language such as Python or Scala
Ability to work well in teams and interact effectively with others
Ability to work independently and manage multiple tasks simultaneously while meeting deadlines

💡 Responsibilities

Develop and optimize scalable, high-performing, secure, and reliable data pipelines that address diverse business needs and considerations
Identify opportunities to enhance internal processes, implement automation to streamline manual tasks, and contribute to infrastructure redesign
Act as a guide and mentor to junior engineers, supporting their professional growth and fostering an inclusive working environment
Collaborate with cross-functional teams to ensure data quality and support data-driven decision-making to strive for greater functionality in our data systems
Collaborate with project managers and product owners to assist in prioritizing, estimating, and planning development tasks
Provide constructive feedback, and share expertise with fellow team members, fostering mutual growth and learning
Engage in ongoing research and adoption of new technologies, libraries, frameworks, and best practices to enhance the capabilities of the data team
Demonstrate a commitment to accessibility and ensure that your work considers and positively impacts others

AWS Docker Python SQL Agile Apache Airflow Cloud Computing ETL Kubernetes Data engineering Data science Communication Skills Analytical Skills Teamwork Data modeling English communication

Posted 4 days ago

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🔥 Senior Data Engineer

Posted 4 days ago

📍 Germany, Spain, United Kingdom, Austria

🔍 Software Development

🏢 Company: LocalStack👥 11-50💰 $25,000,000 Series A 4 months agoCloud Computing Information Technology Software

🔧 Requirements

Ability and experience working with non technical stakeholders to gather requirements
Ability to define technical initiatives required to satisfy business requirements
Excellent knowledge of Python
Experience in designing real time data ingestion solutions with massive volumes of data
(preferred) Experience with AWS services commonly used in Data Engineering (like S3, ECS, Glue, EMR)
Experience with relational databases and data warehouses, data orchestration and ingestion tools, SQL, and BI tools
(preferred) Experience in working remotely/ in async settings
Experience owning initiatives at the IC level
Experience Providing guidance to junior engineers

💡 Responsibilities

Maintain, monitor, and optimize data ingestion pipelines for our current data platform.
Lead the development of our future data platform based on evolving business needs.
Shape the data team roadmap and contribute to long-term strategic planning.
Take full ownership of data ingestion from external sources, ensuring smooth functionality.
Design and implement a robust data modelling and data lake solution architecture.
Provide technical leadership and mentorship to the data engineering team.
Collaborate with engineering teams to define and refine ingestion pipeline requirements.
Work with stakeholders to gather business questions and data needs.

AWS Docker Leadership Python SQL Apache Airflow ETL Kafka Data engineering Data Structures REST API Communication Skills Analytical Skills Collaboration CI/CD Problem Solving Mentoring Written communication Data visualization Team management Stakeholder management Data modeling

Posted 4 days ago

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🔥 Data Engineer

Posted 4 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 4 days ago

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🔥 Data Engineer II (Remote, US)

Posted 4 days ago

📍 United States

🧭 Full-Time

💸 108000.0 - 162000.0 USD per year

🔍 Insurance

🏢 Company: Openly👥 251-500💰 $100,000,000 Series D over 1 year agoLife Insurance Property Insurance Insurance Commercial Insurance Auto Insurance

🔧 Requirements

1 to 2 years of data engineering and data management experience.
Scripting skills in one or more of the following: Python.
Basic understanding and usage of a development and deployment lifecycle, automated code deployments (CI/CD), code repositories, and code management.
Experience with Google Cloud data store and data orchestration technologies and concepts.
Hands-on experience and understanding of the entire data pipeline architecture: Data replication tools, staging data, data transformation, data movement, and cloud based data platforms.
Understanding of a modern next generation data warehouse platform, such as the Lakehouse and multi-data layered warehouse.
Proficiency with SQL optimization and development.
Ability to understand data architecture and modeling as it relates to business goals and objectives.
Ability to gain an understanding of data requirements, translate them into source to target data mappings, and build a working solution.
Experience with terraform preferred but not required.

💡 Responsibilities

Design, create, and maintain data solutions. This includes data pipelines and data structures.
Work with data users, data science, and business intelligence personnel, to create data solutions to be used in various projects.
Translating concepts to code to enhance our data management frameworks and services to strive towards providing a high quality data product to our data users.
Collaborate with our product, operations, and technology teams to develop and deploy new solutions related to data architecture and data pipelines to enable a best-in-class product for our data users.
Collaborating with teammates to derive design and solution decisions related to architecture, operations, deployment techniques, technologies, policies, processes, etc.
Participate in domain, stand ups, weekly 1:1's, team collaborations, and biweekly retros
Assist in educating others on different aspects of data (e.g. data management best practices, data pipelining best practices, SQL tuning)
Build and share your knowledge within the data engineer team and with others in the company (e.g. tech all-hands, tech learning hour, domain meetings, code sync meetings, etc.)

Docker PostgreSQL Python SQL Apache Airflow Cloud Computing ETL GCP Kafka Kubernetes Data engineering Go REST API CI/CD Terraform Data modeling Scripting Data management

Posted 4 days ago

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