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Back to all positions
Data EngineeringFull-timeOn-site

ETL/Data Pipeline Engineer

Build and maintain reliable ETL pipelines and data integration workflows to power enterprise analytics and reporting at APPIT Software in Pune.

Pune, India
Full-time
Data Engineering

Responsibilities

  • Design and develop ETL/ELT pipelines to extract data from APIs, databases, flat files, and SaaS platforms
  • Orchestrate complex data workflows using Apache Airflow with proper error handling and retry logic
  • Implement incremental loading strategies, change data capture, and data deduplication techniques
  • Build and maintain data warehouse schemas optimized for analytical querying and reporting
  • Develop data validation and reconciliation checks to ensure pipeline accuracy and completeness
  • Collaborate with DevOps to deploy, monitor, and scale data pipeline infrastructure on cloud platforms

Requirements

  • 3-5 years of experience building production-grade ETL or data pipelines
  • Strong proficiency in Python and SQL for data extraction, transformation, and loading
  • Hands-on experience with Apache Airflow or a comparable workflow orchestration tool
  • Knowledge of data integration patterns including CDC, batch processing, and micro-batch
  • Experience with cloud data services (AWS S3, Redshift, Glue, or Azure Data Factory)
  • Familiarity with data serialization formats (Parquet, Avro, JSON) and compression techniques

Nice to Have

  • Experience with Fivetran, Airbyte, or similar data integration platforms
  • Knowledge of containerized deployments with Docker and Kubernetes

Skills

PythonSQLApache AirflowAWSETLPostgreSQLDocker

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