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Information Technology and Computer Jobs

Senior ETL Data Engineer

Macpower Digital Assets Edge Private Limited

  • Washington, DC
  • 3 days ago
  • $120,000–$145,000 Per Year

Highlights

Establishes and manages connectivity between cloud and on-premise environments using platforms such as Azure Data Lake Storage (ADLS) Gen2, Blob Storage, Azure Data Factory, Synapse, and Databricks. Position Summary: The Senior ETL Data Engineer supports cloud data operations by designing, developing, and deploying enterprise-level Extract, Transform, Load (ETL) data pipelines.

Numbers & Facts

LocationWashington, DC
Salary$120,000–$145,000 Per Year

Description

Position Summary: The Senior ETL Data Engineer supports cloud data operations by designing, developing, and deploying enterprise-level Extract, Transform, Load (ETL) data pipelines. This role curates, processes, and standardizes data across cloud and on-premise platforms while maintaining enterprise data governance, security, and quality standards.
Key Responsibilities:
  • Designs, develops, tests, and supports complex end-to-end data pipelines to ingest data from multiple sources into target tables and landing layers.
  • Establishes and manages connectivity between cloud and on-premise environments using platforms such as Azure Data Lake Storage (ADLS) Gen2, Blob Storage, Azure Data Factory, Synapse, and Databricks.
  • Automates, monitors, and optimizes existing data workflows to ensure system performance, data accuracy, security, and scalability.
  • Consults with business units and technical teams to gather requirements, resolve system issues, and evaluate technical feasibility for system enhancements.
  • Develops database queries, complex scripts, and reporting solutions to support enterprise business requirements.
  • Implements system change evaluations, backup procedures, and rollback plans to ensure high data reliability.
  • Serves as a technical subject matter expert (SME) on enterprise-wide data architecture and data governance best practices.
Required Qualifications & Skills:
  • Education: Bachelor's degree in Information Technology, Computer Science, or a related field (or equivalent experience).
  • ETL & Data Architecture: 10 to 15 years of experience developing end-to-end ETL processes, data architecture, data warehousing, and business intelligence solutions.
  • Database & Querying Skills: 10+ years of hands-on experience using SQL for relational databases (e.g., Oracle, SQL Server, Postgres, DB2).
  • Data Formats: 10+ years of experience working with diverse data formats, including relational, text (CSV, XML), and binary formats (Parquet, AVRO).
  • Data Governance: 7+ years of experience maintaining data governance, data security, and data consistency standards.
  • Cloud Solutions: 5+ years of hands-on experience with Microsoft Azure tools, including Azure Data Factory, Synapse Analytics, SQL DB, Data Lake Storage Gen2, and Blob Storage.
  • Pipeline Integration: 5+ years of experience utilizing integration tools such as Informatica PowerCenter, Apache NiFi, Apache Airflow, or FME.
  • Core Competencies: Strong written and verbal communication skills with a proven ability to collaborate across multidisciplinary teams and support external partners.
Preferred Qualifications:
  • Experience performing advanced data functions using Databricks.
  • Familiarity with data visualization and reporting tools such as MicroStrategy, Tableau, or Esri ArcGIS.
  • Experience with Python scripting for data pipeline automation.

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