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Job Type   /   Job Level
Full-time   /   Junior Executive
Job Location
Bengaluru, Karnataka, India
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Key Responsibilities

JOB DESCRIPTION

  • Design and develop robust ETL/ELT pipelines to ingest, transform, and load data into Snowflake and PostgreSQL.
  • Optimize and maintain data models, schemas, and queries for performance and scalability.
  • Collaborate with data analysts, scientists, and business stakeholders to understand data needs and deliver high-quality solutions.
  • Manage and monitor Snowflake environments, including storage, compute resources, and user access.
  • Implement best practices for data governance, data quality, and data security.
  • Develop and maintain documentation for data pipelines, models, and processes.
  • Troubleshoot and resolve data issues in a timely manner.
  • Participate in code reviews, architecture discussions, and continuous improvement initiatives.

Required Skills & Qualifications

  • 6+ years of professional experience in Data Engineering or a related field.
  • Strong expertise in Snowflake – including data warehousing concepts, performance tuning, SnowSQL, and security controls.
  • Deep understanding of PostgreSQL – advanced SQL, indexing, query optimization, and data modelling.
  • Proficient in programming/scripting languages such as Python or Scala for data processing.
  • Experience with ETL tools (e.g., dbt, Apache Airflow, Talend, Informatica).
  • Familiarity with cloud platforms (AWS, GCP, or Azure) and services like S3, GCS, or Blob Storage.
  • Knowledge of data lake architectures and data integration best practices.
  • Excellent problem-solving and communication skills.

Preferred Qualifications

  • Experience with data cataloguing and lineage tools (e.g., Alation, Collibra).
  • Hands-on experience with streaming data (e.g., Kafka, Spark Streaming).
  • Familiarity with CI/CD pipelines for data engineering workflows.
  • Exposure to DevOps or DataOps practices.
  • Certifications in Snowflake, PostgreSQL, or cloud platforms (AWS/GCP/Azure).
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