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AWS Databricks Developer | PAN India

  • Source: LinkedIn
  • Wordwizard Services
  • On-site
  • Hyderabad
  • Mid level

Job Description

We are looking for experienced AWS Databricks Developers to join our team for an exciting opportunity. If you have strong expertise in data engineering, large-scale data processing, and cloud-based analytics, we’d love to hear from you.

Role Details

  • Position: AWS Databricks Developer
  • Experience: 8+ Years
  • Location: Pan India (Multiple locations within India)
  • Employment Type: Contract / Full-Time
  • Contract Duration: 6 Months (for contract engagement)
  • Shift Timings: 11:30 AM – 9:00 PM IST
  • Salary: 120000 per month (Non negotiable)

Key Skills & Responsibilities

  • Hands-on experience in Databricks development for large-scale data processing and analytics.
  • Strong expertise in data engineering, including building and maintaining ETL/ELT pipelines.
  • Proficiency in Apache Spark, PySpark, Spark SQL, Python, Scala, and Power BI.
  • Hands-on experience with Delta Lake, including ACID transactions, schema evolution, and performance optimization.
  • Experience developing batch and near-real-time data ingestion pipelines.
  • Knowledge of analytical and dimensional data modelling, including Star and Snowflake schemas.
  • Experience with AWS cloud storage services and data engineering best practices.
  • Ability to collaborate with architects, BI teams, and data science teams to deliver end-to-end data solutions.

Good to Have

  • Exposure to ML/AI workloads and feature engineering on Databricks.
  • Familiarity with MLflow or similar model-tracking tools.
  • Experience with Databricks CI/CD and Git-based version control.
  • Understanding of data governance, security, and compliance.
  • Familiarity with Agile/Scrum methodologies.
  • Experience in the Insurance domain .

Interested candidates: Please share your updated resume via DM or apply directly.

If this opportunity matches your experience, we’d love to connect!

Skills

  • amazon-web-services
  • azure-databricks
  • databricks
  • Spark
  • pyspark
  • apache-spark-sql
  • Python
  • Scala
  • power-bi
  • delta-lake
  • Snowflake
  • ml-flow
  • mlflow
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