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Bengaluru · Remote · ₹25 LPA · 4-7 Yrs · Sep 29
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4 open roles0 posted in 7d4 in 30d
Hiring: Engineering
Job description
Remote
Overview
Hiring for: A technology company delivering enterprise data engineering and analytics solutions, with a strong focus on modern cloud data platforms and Databricks.
Responsibilities
- Design, develop, and maintain scalable ETL pipelines using PySpark and Spark SQL.
- Collaborate with stakeholders to gather business requirements and translate them into efficient data engineering solutions.
- Extract data from multiple sources, including databases, APIs, data lakes, files, and streaming platforms.
- Transform, cleanse, and validate data using PySpark to ensure high data quality and consistency.
- Develop and optimize Spark jobs for performance, scalability, and efficient resource utilization.
- Build and maintain batch and streaming data pipelines to support real-time and near real-time processing.
- Load transformed data into data lakes, data warehouses, and analytical platforms.
- Implement robust error handling, logging, monitoring, and troubleshooting mechanisms for ETL workflows.
- Document ETL processes, data lineage, transformation logic, and technical specifications.
- Develop unit, integration, and performance tests to ensure reliable and accurate data processing.
- Collaborate with cross-functional teams to deliver scalable, secure, and high-quality data solutions.
Qualifications
- Location(s): Pune / Bangalore (Preferred) / Remote
- Type: On-site, Remote / Permanent
- Salary: Up to INR 25 LPA
- Notice Period: Immediate to 30 days
- Must Have: Databricks Development, Pyspark, Python, SQL, Unity Catalogs,
- Job Summary
- 4+ years of experience as a Data Engineer or ETL Developer.
- Strong hands-on experience with PySpark, Apache Spark, Spark SQL, and Python.
- Expertise in Databricks.
- Strong understanding of ETL design, data transformation, and data integration.
- Knowledge of distributed computing, parallel processing, and data partitioning concepts.
- Strong SQL skills with experience in performance tuning and query optimization.
- Excellent analytical, debugging, and problem-solving skills.
- Strong verbal and written communication skills.
- Knowledge of Hadoop ecosystem and modern data engineering technologies.
- Familiarity with CI/CD pipelines and Agile development methodologies.
- Exposure to enterprise-scale data engineering projects.
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Job application FAQ
Last updated 27 October 2026
- How do I apply for Senior Databricks Data Engineer - PySpark - Bangalore / Pune at datavruti?
- Open this job on Feedback AI and sign up free (or sign in). You can apply from the job detail page; match scores and skill gaps appear when your profile is complete. datavruti may attach structured assessments to interview rounds after you apply.
- Does Feedback AI show a match score for this Senior Databricks Data Engineer - PySpark - Bangalore / Pune role?
- Yes after you add a resume or skills. Match score ranks this role against your profile — skills met, gaps, level, and location — so you prioritise applications where fit is strongest.
- Is Senior Databricks Data Engineer - PySpark - Bangalore / Pune remote or on-site in Bengaluru, Karnataka?
- This listing is marked remote with location Bengaluru, Karnataka. Confirm details on the job description before applying.
- What skills matter for this Senior Databricks Data Engineer - PySpark - Bangalore / Pune role at datavruti?
- This is a senior Senior Databricks Data Engineer - PySpark - Bangalore / Pune role. Key skills include Remote. Feedback AI highlights matched vs missing skills on your profile after signup.