Python, PySpark & Databricks Engineer

Job Title: Data Engineer - Python, PySpark & Databricks Engineerv

Locations: Kolkata(Hybrid Mode)

Experience: Minimum 4+ years

About the Role:

We are looking for a skilled and experienced Python, PySpark & Databricks Engineer to join our growing team. This is an exciting opportunity to work with a US-based Big 4 consulting firm, contributing to impactful, enterprise-level data solutions.

Responsibilities:

• Develop scalable and efficient ETL pipelines using Python and PySpark.
• Work on Databricks to manage and process large datasets.
• Collaborate with data architects, analysts, and business stakeholders to deliver data solutions.
• Optimize code performance and troubleshoot data-related issues.
• Ensure data integrity and governance across systems.
• Follow Agile/Scrum methodologies for project execution.

Required Skills & Qualifications:

• At least 4 years of hands-on experience in Python and PySpark development.
• Strong experience working on Databricks (including Delta Lake, Notebooks, and Jobs).
• Solid understanding of data engineering concepts, data modeling, and performance tuning.
• Experience with cloud platforms (preferably Azure or AWS) is a plus.
• Excellent problem-solving and communication skills.
• Ability to work in a hybrid model and collaborate with global teams.

Preferred Qualifications:

- Bachelor’s/Master’s degree in Computer Science, IT, or a related field.

- Certifications such as AWS Certified Data Engineer, Azure Data Engineer Associate or Databricks Certification.

- Experience with version control tools (Git) and agile methodologies.

Why Join Us?

✅ Work on cutting-edge cloud and big data projects for global clients.

✅ Flexible work arrangements (remote/hybrid options available).

✅ Collaborative culture with a focus on innovation and growth.

✅ Work Model: Enjoy the flexibility of a hybrid work arrangement.

✅ Location: Based in Kolkata (Hybrid Mode).

✅ CTC: ₹5 to 7 LPA (Based on experience and skills)

Submit your resume today !

Job Type: Full-time

Pay: ₹500,000.00 - ₹700,000.00 per year

Schedule:

• Day shift

Work Location: In person