Sr Data Engineer -W2

Sr Data Engineer -W2

Posted Today by Virtuous Tech Inc

Negotiable
Undetermined
Remote
Remote

Summary: The role of Data Engineer involves designing, building, and maintaining scalable data pipelines and ETL/ELT workflows. Candidates should possess strong expertise in Python, SQL, and cloud platforms, with a focus on data integration and quality. The position requires a minimum of 5 years of experience in Data Engineering and a Bachelor's degree in Computer Science or a related field. This is a W2 opportunity with a remote working arrangement.

Key Responsibilities:

  • Design, build, and maintain scalable data pipelines and ETL/ELT workflows.
  • Integrate data from multiple sources and optimize data processing.
  • Ensure data quality and reliability.
  • Work with data warehousing and big data technologies.
  • Perform performance tuning and problem-solving in an Agile environment.
  • Utilize Git, CI/CD, and DevOps practices as needed.

Key Skills:

  • Strong expertise in Python, SQL, Spark/PySpark.
  • Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform.
  • Familiarity with Snowflake, Databricks, Airflow, and Kafka.
  • Experience with data warehousing and big data technologies.
  • Strong problem-solving skills.
  • 5+ years of Data Engineering experience.
  • Bachelor's degree in Computer Science or a related field.

Salary (Rate): undetermined

City: undetermined

Country: undetermined

Working Arrangements: remote

IR35 Status: undetermined

Seniority Level: undetermined

Industry: IT

Detailed Description From Employer:

Job Title: Data Engineer (W2)

We are seeking an experienced Data Engineer to design, build, and maintain scalable data pipelines and ETL/ELT workflows. The ideal candidate should have strong expertise in Python, SQL, Spark/PySpark, and cloud platforms such as AWS, Azure, or Google Cloud Platform. Experience with Snowflake, Databricks, Airflow, and Kafka is highly preferred. The role involves integrating data from multiple sources, optimizing data processing, and ensuring data quality and reliability. Candidates should have experience with data warehousing, big data technologies, and performance tuning. Strong problem-solving skills and the ability to work in an Agile environment are essential. Familiarity with Git, CI/CD, and DevOps practices is a plus. A Bachelor''s degree in Computer Science or a related field and 5+ years of Data Engineering experience are required. This is a W2 opportunity.