Python Data Engineer

2 weeks ago

Concord, California, United States COVET IT INC Full time

Hi,

Please go through the below requirements and let me know your interest and forward your resume along with your contact information to

Role : Python Data Engineer (ETL, Snowflake and AWS)

Location : Concord, CA (Onsite)

Duration : Contract - Long Term

Experience: 10+

NOTE: NO GC, OPT and CPT Visa.

Job description:

We are seeking a skilled
Python Data Enginee
r with strong expertise in
Snowflake Cloud Data Warehouse
and hands-on experience developing
ETL/ELT data
pipelines in a
Python
and
AWS environment.
The ideal candidate will design, build, and optimize scalable data solutions, leveraging Snowflake's advanced features to support high-performance analytics and data transformation initiatives.

Key Responsibilities:

  1. Design, develop, and maintain
    ETL/ELT data pipelines
    using Python, PySpark, and Snowflake.
  2. Perform
    data ingestion, transformation, and processing
    for both structured and semi-structured data sources.
  3. Develop and optimize
    Snowflake SQL scripts, Stored Procedures, Tasks, and Streams
    for complex data workflows.
  4. Implement
    error handling, data validation
    , and
    data quality
    checks within the data pipelines.
  5. Collaborate with cross-functional teams to gather requirements and ensure data availability, accuracy, and reliability.
  6. Conduct
    SQL performance tuning
    and troubleshooting for large datasets in Snowflake.
  7. Work in an
    AWS cloud environment
    integrating data from multiple sources.
  8. Schedule and orchestrate data workflows using tools such as
    Airflow, Control-M, or Autosys.

Required Skills & Experience:

  1. 5+ years
    of hands-on experience as a P
    ython Data Engineer
    in ETL/ELT development and Data Warehousing.
  2. Strong coding proficiency in
    Python, PySpark, and DataFrame API.
  3. Proven experience working with
    Snowflake Cloud Data Warehouse on AWS Data Lake.
  4. Expertise in
    SnowSQL, Stored Procedures, Tasks/Streams
    , and
    Snowpark.
  5. Deep understanding of
    SQL
    , query optimization, and
    performance tuning
    .
  6. Experience handling structured and semi-structured data (JSON, Parquet, etc.).
  7. Excellent
    communication skills
    and ability to work effectively in distributed teams.

Nice to Have:

  1. Experience scheduling and automating data jobs in Airflow, Control-M, or Autosys.
  2. Implementation experience with data quality frameworks and error handling mechanisms.
  3. SnowPro Core Certification
    is a strong plus.

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