Sr. Data Engineer (Azure Databricks)

Job Description – Sr. Data Engineer (Azure Databricks)

Work Mode:Work from office only (Bangalore)

Only Immediate Candidates

Total exp: 6-9 years

Relevant: 5 Years

Location: Bangalore (Work from office only)

Sr. Data Engineer (Azure Databricks) – 6-9 years

Responsibilities: (Data Engineer tasks plus)

• 5+ years of experience in Databricks(important)
• Lead design and architecture of large-scale data infrastructure and pipelines (Data Lakehouse).
• Transform complex business requirements into automated, secure data solutions (ETL/ELT) primarily in Azure.
• Optimize data storage and compute costs across Databricks clusters and Data Lake.
• Troubleshoot and resolve production pipeline failures and data quality issues.
• Drive best practices in data governance, security, and pipeline reliability.
• Mentor and coordinate with global teams (data scientists, analysts, operations)

Required Skills & Experience:

• 5–8 years (often 8+ in practice) in data engineering or platform roles.
• Expert hands-on experience with Azure Data Factory, Azure Databricks, and Azure Synapse Analytics.
• Deep SQL and data modelling skills (OLAP, OLTP, dimensional modelling).
• Proficiency in Python/Scala for Spark jobs and data transformation.
• Understanding of Azure Data Lake Storage optimizations and Azure resource cost tuning.
• Experience implementing CI/CD and IaC for data pipelines.
• Knowledge of data security/compliance (RBAC, encryption, GDPR principles).

Interested candidates can share their updated CV at [Confidential Information]