Lead Data Engineer

4 days ago

Kalyani Nagar, Maharashtra, India Go Digital Technology Consulting Full time ₹ 15,00,000 - ₹ 25,00,000 per year

Designation – Data Engineer (Engineer & Senior Engineer Level)

Location: Remote (across India)

Experience: 3 to 8 years

Technologies / Skills:

  • Strong hands-on experience with AWS data engineering services (ETL, orchestration, and streaming tools.
  • Proficiency in SQL, Python (Pandas, NumPy) and PySpark.
  • Experience in ETL/ELT pipeline development, data modeling and working with large-scale data systems.
  • Familiarity with CI/CD workflows, Git and version control practices.

Responsibilities:

  • Collaborate with business stakeholders and technical teams to gather requirements and translate them into scalable data solutions.
  • Design, build and maintain robust, secure, high-performance data pipelines
  • Ensure adherence to data quality, governance and compliance standards
  • Work with architects and engineering leads to follow best practices and optimize for performance
  • Communicate insights and technical decisions effectively with cross-functional stakeholders
  • Participate in Agile ceremonies and deliver iterative improvements in data infrastructure

Required Qualifications:

  • 3+ years of hands-on experience with AWS data engineering services, including:
  • AWS Glue, Athena, EMR, Redshift, Lambda, Kinesis, S3, Step Functions, CloudWatch.
  • Expertise in building data pipelines using PySpark/Spark SQL.
  • Strong SQL and Python skills with experience in large-scale data transformation and ingestion.
  • Knowledge of Spark internals (joins, partitioning, memory management) and performance tuning via Spark UI.
  • Experience with Git, CI/CD pipelines, and working in Agile environments.
  • Understanding of partitioning, schema design, and query performance optimization.

Desired Qualifications:

  • Experience with workflow orchestration tools like Apache Airflow or AWS Step Functions.
  • Exposure to streaming platforms such as Kafka, Kinesis etc .
  • Working knowledge of AWS SDKs (e.g., Boto3) for automation and integration.
  • Familiarity with modern ETL/ELT patterns and data modeling techniques.
  • Basic proficiency in shell scripting for automation and support tasks.

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