Azure Databricks Developer

1 day ago

Greater Noida Hyderabad Noida, India Coforge Full time ₹ 20,00,000 - ₹ 25,00,000 per year

Core Responsibilities

Seasoned Databricks developer having 6+ years of experience is expected to design, build, and maintain scalable data pipelines and workflows using Azure Databricks. This includes:

  • Developing ETL pipelines using Python, SQL, and Delta Live Tables
  • Managing job execution through Databricks Jobs, including scheduling and parameterisation
  • Implementing data transformation using built-in Databricks features Collaborating with data architects and analysts to ensure data models align with business needs
  • Implementing security and governance using features like encryption, access control and data lineage tracking Data performance management using built-in Databricks features (i.e. concurrency for better query execution) Must be an expert in writing complex SQL queries.

Technical Skills

The following technical proficiencies are commonly required:

  • Languages: Python, SQL Databricks
  • Features: Delta Lake, Delta Live Tables, MLflow, Databricks Jobs, Secrets Management, encryption access control etc.
  • Azure Integration: Azure Key Vault, Azure Functions, Azure Data Lake, Azure DevOps
  • Deployment Pipelines: Experience with CI/CD for Databricks and integration with Snowflake schemas (DEV, PRE-PROD, PROD)
  • Monitoring & Optimisation: Cost analysis of clusters, performance tuning, and job concurrency management Desirable Experience Working knowledge of Control-M for orchestrating Databricks jobs
  • Familiarity with Power BI integration and semantic modelling Exposure to geospatial or time-series data processing using Databricks Basic knowledge of data modelling

Share your resume at if you are early or immediate joiner.

  • Good to have exposure to Agile methodology of software development
  • Soft Skills & Qualifications Strong problem-solving and communication and interpersonal skills.
  • Ability to work collaboratively across teams (e.g. HR, Architecture, Data Engineering).
  • A degree in Computer Science, Data Engineering, or a related field is typically preferred

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