Aws Databricks Developer Bengaluru (India)

Ananta Services
Department Icon Data Science Analytics & Machine Learning
Posted: 1 week ago
8-12 years
All India
Data Science Analytics & Machine Learning
work from home
Full Time
Closes 1 Jan 2027
Posted: 1 week ago
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Job Description

  • Aws Databricks Developer Bengaluru (India)
  • Company: Ananta Services
  • Job Location: India
  • Employment Type: Full-time
  • Experience Required: 8+ years
  • Key Responsibilities
  • Design, develop, and maintain scalable data processing solutions using Databricks on AWS.
  • Build and maintain ETL/ELT pipelines for batch and near real-time data ingestion.
  • Develop data transformation and processing workflows using Apache Spark, PySpark, Spark SQL, Python, and Scala.
  • Implement Delta Lake solutions, including ACID transactions, schema evolution, and performance optimization.
  • Design and implement analytical and dimensional data models, including Star and Snowflake schemas.
  • Work with AWS cloud storage services to manage data ingestion, storage, and processing.
  • Optimize data pipelines for performance, scalability, reliability, and maintainability.
  • Follow coding standards, documentation practices, and data engineering best practices.
  • Collaborate with solution architects, BI teams, and data science teams to deliver end-to-end data solutions.
  • Support data quality, troubleshooting, and pipeline performance improvements.
  • Required Skills and Qualifications
  • 8+ years of relevant experience in data engineering and development.
  • Hands-on development experience with AWS Databricks.
  • Solid experience developing and maintaining ETL/ELT pipelines.
  • Proficiency in Apache Spark, PySpark, Spark SQL, and Python.
  • Working knowledge of Scala and Power BI.
  • Hands-on experience with Delta Lake, including ACID transactions, schema evolution, and performance tuning.
  • Experience building batch and near real-time data ingestion pipelines.
  • Knowledge of analytical data modelling and dimensional modelling, including Star and Snowflake schemas.
  • Experience with AWS cloud-based storage systems.
  • Robust understanding of data engineering best practices, coding standards, and technical documentation.
  • Ability to collaborate effectively with cross-functional technical teams.
  • Secondary Skills and Preferred Experience
  • Exposure to AI/ML workloads on Databricks and feature engineering.
  • Familiarity with MLflow or similar model tracking tools.
  • Experience with Databricks CI/CD practices and Git-based version control.
  • Understanding of data governance, security, and compliance.
  • Familiarity with Agile/Scrum delivery methodologies.
  • Experience in the insurance domain.
  • Compensation: 1,400,000.00 - 1,800,000.00 per year
  • Application Question(s)
  • By applying, you agree that your resume and personal details may be stored securely for up to 2 years for recruitment purposes.
  • Work Location: Hybrid remote in Bangalore City, Bengaluru, Karnataka .

Skills

DatabricksSpark SQLELTPythonAWSDatabricksETLDelta LakePySparkScalaApache Spark

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