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Job Description

Job Description :

- Design, develop, and maintain scalable data pipelines using Azure Databricks.

- Integrate and manage data across Microsoft Fabric, including OneLake, Lakehouse, and Real-Time Analytics.

- Good to have hands on experience dashboards and reports development using Power BI.

- Collaborate with cross-functional teams to gather requirements and deliver data-driven solutions.

- Optimize Spark jobs and data workflows for performance and cost-efficiency.

- Ensure data quality, governance, and security across all platforms.

- Implement CI/CD pipelines and version control for data engineering projects.

- Provide technical documentation and support for deployed solutions.


Qualifications for Sr. Technical Consultant :

We are looking for a candidate with 3+ years of relevant experience in a Data Engineer role, who has attained a Graduate Engineering degree in Computer Science, Information Systems or another quantitative field.

They should also have experience using the following software/tools :

- Azure Databricks Certification (e.g., Databricks Certified Data Engineer Associate or Professional).

- 3+ years of experience in big data engineering or analytics.

- Proficiency in PySpark, SQL, and Python.

- Experience with Azure ecosystem (Data Lake, ADF, Synapse, etc.)

- Strong understanding of data modelling, ETL/ELT processes, and distributed computing.

- Familiarity with CI/CD practices and version control (e.g., Git).

- Good to Have Experience in Big Data tools : Hadoop, Spark, Kafka.


Educational Background :


- B.Tech (CS/IT), M.Tech


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