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Sail-Analytics - Data Engineer - Python/PySpark
Sail-Analytics - Data Engineer - Python/PySparkSail Analytics • Bangalore
Sail-Analytics - Data Engineer - Python / PySpark

Sail-Analytics - Data Engineer - Python / PySpark

Sail Analytics • Bangalore
4 days ago
Job description

Description :

Key Responsibilities :

  • Design, build, and maintain scalable data pipelines, ETL workflows, and data transformation processes.
  • Develop and optimize data warehouses using modern cloud data platforms (Azure / AWS / OCI).
  • Create and manage databases, advanced data models, and dimensional schemas (star and snowflake).
  • Prepare data structures for advanced analytics, reporting, and self-service BI tools.
  • Work with cross-functional teams to understand business requirements and translate them into technical solutions.
  • Use PySpark / Python and SQL to transform, clean, and validate large datasets.
  • Ensure data quality, lineage, governance, and accuracy across all pipelines.
  • Integrate data from multiple sources using ETL / ELT frameworks.
  • Monitor, troubleshoot, and optimize data workflows for performance, reliability, and scalability.
  • Contribute to cloud migration, data lake modernization, and architecture improvements.

Required Skills & Qualifications :

  • Bachelors degree in IT, Computer Science, Data Science, Analytics, or equivalent experience.
  • 2+ years of experience in Data Engineering, Data Analytics, Business Intelligence, Data Science, IT, or related fields.
  • Strong hands-on experience with SQL (complex queries, optimization, stored procedures).
  • Proficiency in Python / PySpark for data processing, automation, and analytics.
  • Experience with at least one major cloud platform :
  • 1. Azure (ADB, ADF, Databricks)

    2. AWS (Glue, Lambda, Redshift)

    3. OCI (Oracle Cloud Infrastructure)

  • Experience with creating data warehouses, schema design (star / snowflake), and data modeling frameworks.
  • Good understanding of ETL / ELT workflows, data quality frameworks, and pipeline orchestration.
  • Excellent English communication skills (verbal & written).
  • Strong problem-solving aptitude and analytical thinking.
  • Preferred Skills :

  • Experience with cloud-native monitoring, logging, and automation tools.
  • Knowledge of CI / CD, version control (Git), and DevOps for data workflows.
  • Exposure to big data ecosystems (Delta Lake, Spark, Kafka, etc.
  • Ability to optimize cloud resource usage and reduce cost.
  • Why Join Us?

  • Opportunity to work with modern cloud data engineering technologies.
  • High-impact role building scalable analytics systems.
  • Collaborative environment with strong learning and growth opportunities
  • (ref : hirist.tech)

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