How much salary can I expect as a Data Engineer - PySpark and Databricks Specialist in Capco Technologies Pvt Ltd in Pune?

You can expect a minimum salary of 0 INR. The salary offered will depend on your skills, experience and performance in the interview.

What is the eligibility criteria to apply for Data Engineer - PySpark and Databricks Specialist in Capco Technologies Pvt Ltd in Pune?

The candidate should have completed the required education and people who have 5 to 9 years are eligible to apply for this job. You can apply for more jobs in Pune to get hired quickly.

Is there any specific skill required for this job?

The candidate should have sound communication skills and sound communication skills for this job.

Who can apply for this job?

Both Male and Female candidates can apply for this job.

Is it a work from home job?

No, it's not a work from home job and can't be done online. You can explore and apply for other work from home jobs in Pune at apna.

Are there any charges or deposits required while applying for the role or while joining?

No work-related deposit needs to be made during your employment with the company.

How can I apply for this job?

Go to the apna app and apply for this job. Click on the apply button and call HR directly to schedule your interview.

What is the last date to apply?

The last date to apply for this job is . For more details, download apna app and find Full Time jobs in Pune . Through apna, you can find jobs in 64 cities across India. Join NOW!

Data Engineer - PySpark and Databricks Specialist

Capco Technologies Pvt Ltd

Data Engineer - PySpark and Databricks Specialist

Capco Technologies Pvt Ltd

Pune

Not disclosed

Work from Office

Full Time

Min. 5 years

Job Description

Data Engineer (Databrick + Pyspark)

Job Title: Data Engineer (PySpark / Databricks)

Experience: 5–9 Years Location: Pune (Hybrid – Capco Office)

Job Summary

We are looking for a skilled Data Engineer with strong expertise in PySpark, Databricks, and modern data engineering practices. The ideal candidate will have hands-on experience in building scalable data pipelines, working with large datasets, and leveraging cloud-based data platforms.

Key Responsibilities Design, develop, and maintain scalable ETL/ELT data pipelines Work extensively with PySpark and Apache Spark for large-scale data processing Build and manage workflows using Apache Airflow Develop and optimize data solutions on Databricks (Jobs, Delta Lake) Work with cloud-based data lakes (S3 or equivalent) Write efficient and complex SQL queries for data transformation and analysis Run and manage Spark workloads on EMR Serverless or other managed Spark platforms Ensure data quality, reliability, and performance optimization of pipelines Must Have Skills Strong hands-on experience with PySpark and Apache Spark internals Experience with Databricks (Jobs, Delta Lake) Proficiency in Apache Airflow for workflow orchestration Solid experience building ETL/ELT pipelines at scale Strong SQL skills and experience with Data Warehouse (DWH) systems Experience running Spark workloads on EMR Serverless or managed Spark platforms Hands-on experience with cloud data lakes (S3 or equivalent) Good to Have Skills Experience with Delta Lake / Apache Iceberg Exposure to streaming frameworks (Spark Structured Streaming, Kafka) Familiarity with CI/CD pipelines for data engineering workflows Knowledge of data governance, cataloging, and lineage tools