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Senior Data Engineer- Databricks

Senior Data Engineer- Databricks

InfoCepts

5 - 9 years

0 Lacs

pune maharashtra

Posted:5 days ago| Platform: Shine logo

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Skills Required

python sql git agile methodologies azure databricks delta lake data factory pyspark etlelt pipelines cicd pipelines

Work Mode

On-site

Job Type

Full Time

Job Description

As a Senior Data Engineer focusing on Azure Databricks, your role involves designing, building, and optimizing scalable data pipelines and solutions using Azure Databricks and related technologies. Your primary goal is to enable faster, data-driven decisions as part of the data transformation journey. You will be based in Nagpur, Pune, Chennai, or Bangalore. Key Responsibilities: - **Data Pipeline Development:** Design and implement robust batch and streaming data pipelines using Azure Databricks and Spark. - **Data Architecture Implementation:** Apply Medallion Architecture to structure data layers (raw, enriched, curated). - **Data Quality & Governance:** Ensure data accuracy, consistency, and governance using tools like Azure Purview and Unity Catalog. - **Performance Optimization:** Optimize Spark jobs, Delta Lake tables, and SQL queries for efficiency and cost-effectiveness. - **Collaboration & Delivery:** Work closely with analysts, architects, and business teams to deliver end-to-end data solutions. Technical Experience: **Must Have:** - Hands-on experience with Azure Databricks, Delta Lake, Data Factory. - 5+ years of experience in Data Engineering. - Proficiency in Python, PySpark, and SQL with strong query optimization skills. - Deep understanding of Lakehouse architecture and Medallion design patterns. - Experience building scalable ETL/ELT pipelines and data transformations. - Familiarity with Git, CI/CD pipelines, and Agile methodologies. **Good To Have:** - Knowledge of data quality frameworks and monitoring practices. - Experience with Power BI or other data visualization tools. - Understanding of IoT data pipelines and streaming technologies like Kafka/Event Hubs. - Awareness of emerging technologies such as Knowledge Graphs. Qualifications: - Education: Likely a degree in Computer Science, Data Engineering, Information Systems, or a related field. - Proven hands-on experience with Azure data stack (Databricks, Data Factory, Delta Lake). - Experience in building scalable ETL/ELT pipelines. - Familiarity with data governance and DevOps practices. In addition to the technical requirements, as a Senior Data Engineer, you are expected to possess the following qualities: - Strong problem-solving and analytical skills. - Attention to detail and commitment to data quality. - Collaborative mindset and effective communication. - Passion for learning and staying updated with emerging data technologies.,

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Senior Data Engineer- Databricks