Data Engineer
Job Description
Job Description
Primary Responsibilities:
- Design, Develop and maintain efficient Data pipelines and workflows within the Enterprise Data platforms (e.g., Snowflake, Cloudera/Hive, Palantir Foundry or Amazon Redshift)
- Ingest, clean and model structured and unstructured data from a variety of data sources
- Build and manage programs for moving, transforming, and loading data using Python, Spark, SQL, C#, etc.
- Implement data governance, quality checks, and validation rules to ensure accuracy and consistency
- Collaborate with cross-functional teams including Agile team members, business SMEs, and external stakeholders to deliver high-quality solutions
- Participate in code reviews, knowledge sharing, and technical discussions within the team
- Bachelor's degree in Computer Science or a technical related field
- 8+ years of experience as a Data Engineer or similar role
- 4+ of years experience building data solutions at scale using one of the Enterprise Data platforms – Palantir Foundry, Snowflake, Cloudera/Hive, Amazon Redshift
- 4+ years of experience with SQL and No-SQL databases (Snowflake or Hive)
- 4+ years of hands-on experience with programming using Python, Spark or C#
- Experience with DevOps principles and tools - Github actions, Harness etc.
- Strong understanding of ETL principles and data integration patterns
- Experience with Agile and iterative development process
- Experience with cloud services such as AWS, Azure etc. is a plus
- Knowledge of Typescript & Full stack development experience is a plus (not mandatory)
- Python or C# (Python preferred but either exp. required)
- Hive or Snowflake or Hadoop (required)
- AWS (preferred)
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