Description :

Exp : 5-10

Salary : 15-30

Location : Remote

Position : Contract

Mode : Remote

Skills required :

- 5+ years experience supporting Big Data and Azure cloud platforms.

- Strong skills in Spark, Python, Linux, Shell scripting, and DevOps/CI/CD tools (e.g., Jenkins).

- Hands-on with Azure data services (Databricks, Data Factory, ADLS) and infrastructure automation (Terraform).

- Strong communication, documentation, and collaboration skills.

- Ability to work independently and deliver in a fast-paced environment

Key Responsibilities :

- Design, build, and optimize big data pipelines and transformations using Spark (PySpark/Scala).

- Develop scalable data ingestion, processing, and storage solutions to support analytics and business intelligence needs.

- Optimize distributed data processing workloads for performance, reliability, and cost efficiency.

- Build and maintain data solutions leveraging Azure Databricks, Azure Data Factory (ADF), Azure Data Lake Storage (ADLS), Azure Synapse (if applicable).

- Develop automation scripts using Python, Shell, and Linux tools to streamline deployments and operational tasks.

- Work with CI/CD pipelines using tools such as Jenkins, Azure DevOps, or GitHub Actions to automate build, testing, and deployment processes.

- Ensure data accuracy, integrity, and consistency across multiple systems.

- Implement monitoring, alerting, and logging frameworks for pipelines and environments.