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Data Engineer and Senior Data Engineer at Celebal Technologies – Mumbai | Jobyssey

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Data Engineer and Senior Data Engineer

Data Engineer and Senior Data Engineer

Celebal Technologies · Mumbai; Navi Mumbai; Mumbai (All Areas) · 6 days ago

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Work mode: Onsite
Seniority: Senior
Category: Data engineering

aws azure azure-data-factory ci-cd cloud data-engineering data-modeling data-pipelines data-quality

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Key Responsibilities

Design and develop scalable data pipelines using Databricks and PySpark.
Build and optimize ETL/ELT workflows for large-volume data processing.
Develop data transformations using PySpark and SQL.
Work extensively with Delta Lake for reliable and scalable data storage.
Develop and maintain data pipelines using Databricks Workflows/Lakeflow.
Perform data integration from multiple structured and unstructured sources.
Optimize Spark jobs, queries, and pipeline performance.
Implement data quality, validation, monitoring, and error-handling mechanisms.
Collaborate with Data Architects, BI teams, and business stakeholders.
Follow best practices for CI/CD, version control, and deployment.

Required Skills

Strong hands-on experience with Databricks
Strong PySpark and SQL skills
Good understanding of Delta Lake
Strong experience in Data Engineering and ETL
Understanding of Data Warehousing and Data Modelling
Experience with cloud platforms such as Azure / AWS / GCP
Knowledge of Git, CI/CD and DevOps
Good analytical and problem-solving skills
Strong communication and stakeholder management skills

Good to Have

Experience with Unity Catalog
Databricks certifications
Experience with Kafka / Azure Data Factory / Event Hubs
Knowledge of Lakehouse architecture
Experience in migrating legacy data platforms to Databricks

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Senior Data Engineer (Databricks Migration)

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