
Senior Data Engineer
3 days ago
Job Title: Senior Data Engineer – Databricks (Azure)
Location: Remote
Employment Type: Contract
Budget : 70k -80k Per month
About the Role
We are seeking a highly skilled Databricks Engineer with strong expertise in Azure Cloud to design, build, and optimize large-scale data solutions. The ideal candidate will have a solid background in PySpark, SQL/PLSQL, and Azure Data Engineering services (ADF, Databricks, Data Lake, etc.).
Key Responsibilities
- Design, develop, and maintain scalable data pipelines and ETL processes using Databricks on Azure Cloud.
- Implement complex transformations and data integrations using PySpark and SQL/PLSQL.
- Optimize Databricks workflows for performance and cost efficiency.
- Work with Azure Data Engineering services including Azure Data Factory (ADF), Azure Databricks, and Azure Data Lake Storage (ADLS).
- Ensure data quality, security, and compliance across all solutions.
- Collaborate with cross-functional teams to define data requirements and deliver robust solutions.
Required Skills & Experience
- 3–7+ years of experience in Data Engineering (or relevant field).
- Strong hands-on experience in PySpark (Python) for large-scale data processing.
- Proficiency in SQL and/or PLSQL for data transformation and analysis.
- Deep expertise in Databricks (workflows, notebooks, jobs, clusters, Delta Lake).
- Proven experience with Azure Cloud and its Data Engineering services (ADF, Databricks, ADLS, Synapse, etc.).
- Solid understanding of data lakehouse concepts, ETL pipelines, and performance tuning.
- Familiarity with CI/CD practices for data pipelines is a plus.
Preferred Qualifications
- Experience with Delta Lake, Unity Catalog, or MLflow.
- Knowledge of Azure DevOps, Git, or other version control systems.
- Experience with data security, governance, and monitoring in Azure.
- Excellent communication and problem-solving skills.
Why Join Us
- Opportunity to work on cutting-edge cloud-native data engineering projects.
- Collaborative team environment with learning and growth opportunities.
- Competitive compensation and flexible work arrangements.
Job Types: Full-time, Contractual / Temporary, Freelance
Contract length: 6 months
Pay: ₹70, ₹80,000.00 per month
Work Location: Remote
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