ETL Jobs

Find remote positions requiring ETL skills. Browse through opportunities where you can utilize your expertise and grow your career.

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πŸ“ India

🧭 Full-Time

πŸ” Fintech

🏒 Company: VestdπŸ‘₯ 1-10InternetLegalSocial EntrepreneurshipFinTechSharing Economy

  • 5+ years experience using SQL.
  • 5+ years of experience using BI tools (Microsoft Power BI, Tableau, etc.).
  • 5+ years of experience working with AWS services (AWS Redshift, AWS Appflow, S3).
  • Experience with query optimization and database design (i.e. indexing, partitioning, etc.).
  • Familiarity with Data Warehousing/ETL concepts and execution.
  • Experience deploying ML models.
  • Experience implementing AI in a Data Warehouse.
  • Impeccable attention to detail and a high degree of accuracy.
  • Excellent written and verbal communication skills.
  • Comfortable working in a fully remote environment.

  • Drive the data team forwards to develop new insights which inform the strategic decisions of the business.
  • Develop and maintain SQL queries for data extraction, transformation, and loading.
  • Automate data pipelines and queries using AWS services.
  • Optimize query performance and database design for improved efficiency.
  • Collaborate with business stakeholders to understand data requirements and translate them into actionable insights.
  • Assist in the development and maintenance of our Data Warehouse.
  • Explore and implement new data technologies and best practices, with a focus on AI.
  • Flex as needed to assist the rest of the Data team with reporting and analysis during high demand periods.

SQLArtificial IntelligenceETLMachine LearningMicrosoft Power BITableau

Posted 34 minutes ago
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πŸ“ Serbia

🧭 Full-Time

πŸ” Fintech

🏒 Company: Portfolio BIπŸ‘₯ 51-100Management Consulting

  • An in-built desire and ability to analyze and design solutions for challenging problems.
  • Demonstrable ability to understand C# code and write SQL queries.
  • Experience in SQL performance monitoring, ETL design, and troubleshooting.
  • Proficiency in communicating in English.
  • Ability to multi-task and prioritize in a multi-customer financial environment.
  • Effective client communication through email and occasionally via phone.
  • Understanding of financial instruments and capital markets, particularly buy-side order management and trade execution.
  • Understanding of n-Tier application architecture concepts.
  • General understanding of IT security concepts related to production environments.
  • Bachelor's degree in computer science or related field.

  • Utilize company training resources to develop the necessary financial domain knowledge and technology understanding to assist customers.
  • Develop new integrations between platforms and third-party applications.
  • Create reports and custom web grids/Windows form grids to meet customer requirements.
  • Re-create, analyze, troubleshoot, and diagnose customer questions and issues.
  • Assist development and business owners with root cause analysis and solution development for recurring issues.
  • Conduct performance analysis and improvement for application database processes.
  • Maintain customer contact on open issues, being responsive to follow-ups.
  • Perform routine audits of systems for preventative maintenance and report on their status.
  • Multi-task and prioritize open issues.

SQLData AnalysisETLC#RDBMSTroubleshooting

Posted about 1 hour ago
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πŸ“ United States of America

πŸ’Έ 114800.0 - 191400.0 USD per year

πŸ” Healthcare

  • 10+ years of experience with Microsoft SQL Server (2008 – 2017).
  • 5+ years of experience with Azure Database Platforms: SQL Managed Instance, SQL VM, SQL DB.
  • Knowledge of Elastic pools for scale and performance on Azure.
  • Extensive understanding of DBA concepts and Best Practices.
  • Proficiency in TSQL (scripting, stored procedures, triggers, query development).
  • PowerShell scripting experience.
  • Familiarity with Clustering/Always On technology, Log Shipping, Replication.
  • Experience in database and SQL performance analysis.
  • SQL installation and configuration skills.
  • Troubleshooting and incident management experience.

  • Installing, configuring, administering, and maintaining eviCore healthcare database environments.
  • Providing high security for protected health information.
  • Monitoring and investigating issues with production applications.
  • Evaluating and identifying operational issues within the databases.
  • Working on tickets and monitoring the database environment.
  • Completing user requests for access and performance issues.
  • Reviewing database-level code for adherence to standards.
  • Participating in a 24x7 shift schedule.
  • Mentoring junior DBAs and leading major projects.

ETLMicrosoft SQL ServerAzureTroubleshooting

Posted about 1 hour ago
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πŸ“ LATAM

🧭 Full-Time

πŸ” Telecommunications

  • 5+ years in Oracle PL/SQL, Snowflake Data Warehouse, ELT/ETL design, and Business Intelligence development.
  • BS/MS in Computer Science, Information Systems, or a related technical field.
  • Very good or excellent English communication skills.
  • Understand Business Intelligence and Data warehousing concepts.
  • Experience with reporting/visualization tools is a plus.
  • Familiarity with JIRA for support ticket management.
  • Strong data analysis, root cause analysis, and problem-solving skills.
  • Understanding of Software Engineering principles and Unix/Linux/Windows operating systems.
  • Experience with scripting languages like Python, Shell, JavaScript, HTML5 is a plus.

  • Provide production support to a legacy telecom system in Oracle db.
  • Support existing legacy AbInitio project and learn business logic for migration to Snowflake.
  • Develop, document, and test ELT/ETL solutions using tools like Snowflake, Denodo, Looker.
  • Recommend process improvements for ELT/ETL development efficiency.
  • Extract data from various sources and integrate into target databases using ELT/ETL.
  • Collaborate with QA to debug and ensure timely delivery.

PythonBusiness IntelligenceData AnalysisETLOracleSnowflakeJira

Posted about 2 hours ago
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πŸ“ United States

🧭 Full-Time

πŸ’Έ 130000.0 - 185000.0 USD per year

πŸ” Digital Advertising

🏒 Company: RedditπŸ‘₯ 1001-5000πŸ’° $410,000,000 Series F over 3 years agoπŸ«‚ Last layoff over 1 year agoNewsContentSocial NetworkSocial Media

  • 3 to 5 years' experience in risk analytics, data analytics, or a related analytical field.
  • Collaborative and proactive problem-solver with strong communication skills.
  • Self-motivated and results-oriented with a strong work ethic.
  • Ability to assess complex processes and identify risks.
  • Working knowledge of SQL/BigQuery and data analytics automation.
  • Understanding of ETL processes for data monitoring and quality assurance.
  • Experience interpreting business logic in programming languages.
  • Ability to work under pressure and prioritize multiple activities.

  • Build and implement monitoring and assurance processes and tools for revenue assurance.
  • Perform validation of auction logic and audit platform events.
  • Analyze advertising platform data for trends and anomalies.
  • Design and automate assurance analytics for real-time insights.
  • Oversee controls testing for a robust control environment.
  • Collaborate with cross-functional teams to assess risks in the ads business.

PythonSQLETLData scienceData analytics

Posted about 2 hours ago
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πŸ“ USA

🧭 Internship

πŸ’Έ 18.0 USD per hour

πŸ” Personal finance

🏒 Company: GOBankingRates

  • Must be available to work 24 hours per week Monday-Friday for 16 weeks.
  • Currently pursuing a degree in Computer Science, Data Science, Engineering, or a related field.
  • Ability to write basic SQL queries for data validation.
  • Familiarity with Python for scripting and automation.
  • Strong problem-solving abilities and attention to detail.
  • Excellent verbal and written communication skills.
  • A passion for learning new tools and technologies in data engineering and quality assurance.

  • Actively participate in agile ceremonies to understand data requirements and ensure proper test coverage.
  • Work closely with data engineers, analysts, and product managers to refine requirements and validate data processes.
  • Assist in validating data transformations and ensuring accuracy across ETL pipelines using SQL queries.
  • Contribute to building automated test scripts using Python for data validation and regression testing.
  • Support testing of data pipelines developed using dbt and Apache Airflow.
  • Help monitor data pipeline performance and troubleshoot issues.
  • Create and maintain documentation for test cases and data pipelines.

PythonSQLApache AirflowETLSnowflakeData engineering

Posted about 17 hours ago
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πŸ”₯ Data Systems Lead
Posted about 17 hours ago

πŸ“ CA, CO, ID, IL, FL, GA, MA, MI, MN, MO, NJ, NV, NY, PA, OR, TX, UT, WA

🧭 Full-Time

πŸ’Έ 125000.0 - 170000.0 USD per year

πŸ” Mobile industry

🏒 Company: LiftoffπŸ‘₯ 501-1000πŸ’° Private about 4 years agoAdvertising PlatformsBig DataMobile AdvertisingApp MarketingAd RetargetingMobileAd Network

  • 7-10 years of experience in data architecture, database management, or data warehousing.
  • 3-5 years of leadership experience.
  • Bachelor’s degree (MBA/MIS preferred).
  • Expertise in SQL, data modeling, reporting, and ETL processes.
  • Knowledge of databases like Snowflake, Redis, MongoDB Atlas, and MemSQL.
  • Proven skills in data mapping, analysis, and quality management.
  • Solid proficiency in reporting tools, data visualization, and actionable analytics.
  • Familiarity with Salesforce dashboards and analytics apps preferred.
  • Remarkable analytical skills and the ability to translate data into meaningful insights.
  • Experience with data governance and performance measurement tools.

  • Develop and implement a MDM strategy to ensure data quality, integrity, and ownership organization-wide.
  • Design and manage a scalable data architecture framework to support data integration, storage, and reporting needs.
  • Create and uphold data governance policies and best practices across all business units.
  • Lead data cleanup, automation, and integration initiatives to optimize processes.
  • Oversee data quality management to ensure accurate reliable data for operations and decision-making.
  • Collaborate with business users and stakeholders to translate business requirements into functional and non-functional BI specifications.
  • Design and maintain data warehouses, marts, and analytical structures for reporting and BI applications.
  • Develop and enhance reporting tools and visualizations to drive business insights.
  • Maintain thorough documentation, including data dictionaries, processes, and project plans.
  • Stay ahead of industry trends to align data solutions with evolving business objectives.

SQLETLMongoDBSnowflakeData visualizationData modeling

Posted about 17 hours ago
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πŸ”₯ VP, Data and Analytics
Posted about 17 hours ago

πŸ“ US

πŸ” Compliance Technology

  • Technical expertise to architect data platforms in the cloud.
  • Ability to lead data engineering teams.
  • Strong understanding of data acquisition, ingestion, normalization, and analytics.
  • Experience with artificial intelligence, big data, analytics, and machine learning.

  • Build a world-class data organization to grow and transform data and analytics engineering teams.
  • Responsible for all aspects of Data Engineering including acquisition, ingestion, normalization, and analytics.
  • Architect the future of our cloud-based data platform.
  • Lead various data-driven engineering teams delivering software-based data solutions.
  • Collaborate with business units to drive insights into data on scalable infrastructure.
  • Partner with business and product teams for efficient data processing and predictive insights.
  • Define the approach to AI, big data, analytics, and machine learning leveraging collected data.

AWSSQLApache AirflowETLMachine LearningData engineeringData analytics

Posted about 17 hours ago
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πŸ”₯ BI Developer
Posted about 18 hours ago

πŸ“ United States, Denmark

πŸ” Healthcare technology for autism

🏒 Company: Hi Rasmus Inc.

  • Proven experience with Tableau (certification is a plus!).
  • Proficiency in SQL for querying and analyzing datasets.
  • Strong analytical and problem-solving skills with a keen eye for detail.
  • Excellent communication and interpersonal skills to work collaboratively with team members.
  • Ability to manage multiple projects and meet deadlines in a fast-paced environment.
  • Knowledge of ETL processes and tools.
  • Experience with other BI tools (e.g., Power BI, QlikView, Looker) is advantageous.
  • Understanding of statistical analysis and predictive modeling techniques.

  • Design, develop, and maintain interactive dashboards and reports in Tableau to support various business functions.
  • Collaborate with the director of research and outcomes, and tech team, to ensure data accuracy, integrity, and availability.
  • Translate clinical indicators and key metrics into actionable dashboards and data visualizations.
  • Analyze complex datasets to identify trends, patterns, and insights that inform business strategies.
  • Stay up-to-date with the latest features and best practices for Tableau and other relevant BI tools.
  • Document processes, dashboards, and reporting methodologies for future reference.
  • Evaluate and enhance BI tools and processes to improve data-driven decision-making capabilities.

SQLData AnalysisETLTableauData visualization

Posted about 18 hours ago
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πŸ“ US

🧭 Full-Time

πŸ’Έ 110000.0 - 135000.0 USD per year

πŸ” Energy efficiency and clean energy policy

🏒 Company: Energy Solutions - USA

  • A minimum of 5 years of work experience.
  • Strong critical thinking and evidence-based reasoning skills.
  • Proven professional experience developing analytical dashboards using BI tools, preferably Tableau.
  • A minimum of 3 years of experience using Python.
  • Experience building analytical models using a high-level programming language.
  • Knowledgeable about the applicability and limitations of metrics in descriptive and inferential statistics.
  • Capable of working independently and effectively with technical and non-technical project managers.
  • Able to navigate multiple interrelated projects.
  • Adept at communicating technical concepts to non-technical audiences.

  • Develop, maintain, run, and own robust analytical models and dashboards for internal and external clients.
  • Translate quantitative data into reports and presentations for non-technical audiences.
  • Own the quality and accuracy of data analyses, working with data engineers to develop quality assurance systems.
  • Build ETL pipelines in collaboration with other data scientists and project managers.
  • Work with regular expressions and/or machine learning models for fuzzy string matching.
  • Mentor and provide guidance to other members of the data analysis/engineering team.
  • Communicate and collect information from other staff, subcontractors, and clients.

PythonSQLData AnalysisETLMachine LearningTableauData engineeringData visualizationData modeling

Posted about 23 hours ago
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