Data Engineer

1 week ago


Hyderabad, Telangana, India Valuelabs Full time

Position - Data Engineer

Experience - 3+ yrs

Location - Hyderabad

Notice Period - Immediate Joiners

Roles & Responsibilities:

  • 3+ years of hands-on experience in data engineering with strong proficiency in:
  • Python & PySpark (for data transformation and pipeline development)
  • SQL (advanced querying,optimization, window functions, CTEs)
  • Spark (PySpark/Scala) for distributed data processing at scale
  • Data Warehouse Architecture (Snowflake, Azure Synapse, Redshift, BigQuery)
  • Cloud Platforms: Azure (ADLS, Data Factory, Databricks, Synapse) and AWS (S3, Glue, EMR, Lambda, Redshift)
  • DBT (for modeling, testing and documentation of data pipelines)
  • Airflow (for workflow orchestration and monitoring)
  • Hadoop Ecosystem (HDFS, Hive, YARN) experience with legacy systems is a plus.
  • Design, develop, and maintain high-performance, scalable ETL/ELT pipelines using Python, PySpark, and Scala on AWS and Azure platforms.
  • Architect and manage cloud-based data warehouses using Snowflake and Azure Synapse, ensuring optimal performance, cost-efficiency, and security.
  • Implement data transformation workflows using DBT (Data Build Tool) to enable clean, reusable and well-documented data models across business units.
  • Orchestrate complex data workflows using Apache Airflow, ensuring reliability, monitoring, and observability across pipelines.
  • Optimize data processing performance on Databricks and EMR using Spark (PySpark/Scala) for large-scale batch and streaming workloads.
  • Ensure data quality, lineage, governance, and compliance through integration with Purview, Datadog, or similar tools.
  • Automate CI/CD pipelines for data deployments using Azure DevOps, GitHub Actions, Jenkins, or GitLab CI.
  • Work closely with cross-functional teams to onboard new clients, validate data integrity and support data migration and modernization initiatives.
  • Mentor junior engineers and contribute to knowledge sharing through documentation, code reviews and training sessions.

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