ETL Engineer

7 days ago

Windsor, Connecticut, United States eAspire Technolabs Inc. Full time $200,000 - $250,000 per year

Role: ETL Engineer

Location: Windsor, CT (Onsite)

Visa: H1B

Experience: 12+ Years

Job Summary:

We are seeking a skilled
ETL Engineer
to design, develop, and maintain scalable data integration solutions. The ideal candidate will be responsible for extracting data from various sources, transforming it into usable formats, and loading it into data warehouses or analytical systems. This role requires strong experience with ETL tools, SQL, data modeling, and performance optimization.

Key Responsibilities:

  • Design, develop, and maintain ETL workflows and data pipelines for large-scale data integration.
  • Extract, transform, and load data from various structured and unstructured sources into target systems (e.g., Data Warehouse, Data Lake).
  • Work closely with data architects, analysts, and business stakeholders to understand data requirements and deliver high-quality data solutions.
  • Optimize ETL processes for performance, scalability, and reliability.
  • Ensure data quality, accuracy, and integrity across all stages of data processing.
  • Monitor ETL jobs, troubleshoot issues, and perform root cause analysis for failures or delays.
  • Implement automation and scheduling for ETL processes using tools such as Airflow, Control-M, or similar.
  • Support data migration, cleansing, and validation activities as part of ongoing data initiatives.
  • Create and maintain technical documentation for ETL processes and data flows.

Required Skills and Qualifications:

  • Bachelor's degree in Computer Science, Information Systems, or related field.
  • 12+ years of experience in ETL development and data integration.
  • Hands-on experience with ETL tools such as
    Informatica, Talend, DataStage, SSIS, Pentaho
    , or similar.
  • Strong proficiency in
    SQL
    and experience working with relational databases (e.g., Oracle, SQL Server, MySQL, PostgreSQL).
  • Experience with
    data warehousing concepts
    ,
    data modeling
    , and
    dimensional modeling
    (Star/Snowflake schema).
  • Knowledge of
    Python
    ,
    Shell scripting
    , or other scripting languages for automation.
  • Familiarity with
    cloud-based ETL and data platforms
    (e.g., AWS Glue, Azure Data Factory, Google Cloud Dataflow, Snowflake).
  • Strong analytical, problem-solving, and communication skills.

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