Data Engineer | Contract | Pune | Hybrid

Data Engineer

Experience:

Start:

You’ll build and maintain scalable data pipelines on AWS, working closely with engineering and analytics teams to enable reliable reporting, dashboards, and advanced analytics.

• Design, build, and optimize

  ETL pipelines

  and

  data workflows

  on AWS
• Work with large

  structured & semi-structured datasets

• Develop, maintain, and tune

  data warehouses

  and related models
• Implement and schedule workflows using

  Airflow

  or equivalent tools
• Collaborate with stakeholders to understand data needs and deliver robust solutions

• Programming:

  Python, SQL

• Big Data:

  PySpark / Apache Spark

• ETL Tools:

  AWS Glue / NiFi

• Data Pipelines & Warehousing

  experience

• AWS:

  S3, Redshift, EMR, EC2, RDS

• Orchestration / DevOps:

  Airflow, CI/CD (GitLab / GitHub)

• Streaming:

  Kafka or equivalent streaming platforms
• Strong experience with

  structured & semi-structured data

  (e.g. CSV, JSON, Parquet, Avro)

• Experience in performance tuning of Spark, Redshift, and complex SQL
• Exposure to data governance, security, and best practices on cloud

Location:

• Type:

  Contract