Senior Data Engineer

6 years

0 Lacs

Posted:1 day ago| Platform: Linkedin logo

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Work Mode

On-site

Job Type

Full Time

Job Description

Summary:


Technical Proficiency:

  • 6+ years of experience and a bachelor’s degree in computer science or a related field, or equivalent work experience
  • In-depth working experience of distributed systems Hadoop, Spark, Hive, DBT and Airflow/Dagster
  • At least 4 years of solid production quality coding experience in data pipeline implementation in Python
  • Experience working with public cloud platforms, preferably AWS
  • Experience working with Databricks and/or Snowflake
  • Experience in Git, JIRA, Jenkins, shell scripting
  • Familiarity with Agile methodology, test-driven development, source control management and test automation


Role and Responsibilities:

  • You will build services that will integrate directly with products and with external vendors.
  • You will work with modern data technologies such as Hadoop, Spark, DBT, Dagster/Airflow, Atlan, Trino, etc., modern data platforms such as Databricks and Snowflake and cloud technologies across AWS stack
  • Identify, design, and implement automation of manual processes, optimizing data delivery, reducing Cloud cost, etc.
  • Implement processes and systems to monitor Data Quality, Observability, Governance and Lineage.
  • Support operations to manage the production environment and help in resolving production issues with RCA
  • Write unit/integration tests, adopt Test-driven development, contribute to engineering wiki, and document design/implementation etc.


Education:


Key Skills:

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