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Staff Data Engineer - Python

Staff Data Engineer - Python

Savantis Solutions India Pvt.Ltd.Hyderabad
30+ days ago
Job description

Job Title : Staff Data Engineer

Experience : 5-8 Years

Job Location : Hyderabad (Hybrid work mode)

Notice period : Immediate to 30 Days (if serving notice then LWD should be 45Days max)

Requirements :

  • 4+ years of experience in ETL development , data pipeline engineering, or data warehouse management .
  • Strong proficiency in SQL (PostgreSQL, MySQL, or similar) for data manipulation and optimization.
  • Experience with data pipeline tools (e.g., Apache Airflow, AWS Glue, dbt, or similar ).
  • Hands-on experience with cloud-based data platforms (e.g., AWS Redshift, Snowflake, Big Query, or Azure Synapse ).
  • Knowledge of data modeling, data warehousing concepts , and performance tuning.
  • Experience working with structured and semi-structured data formats ( JSON, Parquet, Avro, Proficiency in Python or another scripting language for data automation and transformation.
  • Strong problem-solving and troubleshooting skills.
  • Excellent communication skills and ability to work with both technical and non-technical

stakeholders.

  • Experience working in Agile development practices and delivering iterative solutions.
  • Nice to Have :

  • Experience with orchestration tools like Apache Airflow or Prefect.
  • Familiarity with real-time data streaming ( Kafka, Kinesis, or similar ).
  • Knowledge of NoSQL databases (MongoDB, DynamoDB, etc.) .
  • Experience with CI / CD pipelines for data engineering workflows.
  • Certifications in AWS, Azure, GCP or relevant data engineering :
  • Design, develop, and maintain scalable ETL pipelines to support data integration and analytics needs .
  • Build, optimize, and manage data pipelines and workflows to ensure efficient data movement and transformation.
  • Monitor and troubleshoot data pipeline performance, ensuring data reliability and accuracy
  • Maintain and optimize data warehouse architecture, ensuring efficient storage and data retrieval.
  • Work with large, complex datasets to support analytical and business intelligence needs.
  • Define, execute, and optimize SQL queries for data transformation and extraction.
  • Collaborate with Business Intelligence, Data Analytics, and Engineering teams to ensure data
  • accessibility and performance.

  • Automate data ingestion, processing, and refresh schedules to maintain up-to-date datasets.
  • Implement data governance, security, and compliance best practices.
  • Continuously evaluate and adopt new technologies to improve data infrastructure.
  • ref : hirist.tech)

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    Data Engineer Python • Hyderabad