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Senior Data Engineer

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Data Integration, SQL, Python, Snowflake, Azure Data Factory, AWS Glue, Google Cloud BigQuery
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Hyderabad, Bangalore, Pune, Chennai, Gurgaon

Our organization is currently seeking a skilled Senior Data Engineer to become part of our dynamic team.

In this role, as a Senior Data Engineer, you will focus on projects involving data integration and ETL for cloud-based platforms. Your responsibilities will include crafting and executing sophisticated data solutions to ensure the data remains precise, dependable, and readily available.

Responsibilities
  • Design and execute sophisticated data solutions on cloud-based platforms
  • Create ETL processes utilizing SQL, Python, and additional relevant technologies
  • Maintain data precision, reliability, and accessibility for all stakeholders
  • Work collaboratively with interdisciplinary teams to meet data integration needs and specifications
  • Produce and update documentation such as technical specifications, data flow diagrams, and data mappings
  • Enhance and oversee data integration processes to boost performance and efficiency while ensuring data accuracy and integrity
Requirements
  • Bachelor’s degree in Computer Science, Electrical Engineering, or a related field
  • 5-8 years of experience in data engineering
  • Proficiency in cloud-native or Spark-based ETL tools like AWS Glue, Azure Data Factory, or GCP Dataflow
  • Strong knowledge of SQL for data querying and manipulation
  • Background in Snowflake for data warehousing
  • Familiarity with cloud platforms such as AWS, GCP, or Azure for data storage and processing
  • Excellent problem-solving skills and attention to detail
  • Good verbal and written communication skills in English at a B2 level
Nice to have
  • Background in ETL using Python