PySpark Developer / Senior Data Engineer-MNC Client For 6 To 15Yrs imm

Shell Infotech; Chennai District, Bengaluru, Hyderabad; Hybrid; INR 1,200,000 - 2,000,000; Full time

Job summary

Shell Info Technologies Pvt Ltd is seeking a senior PySpark Developer / Data Engineer to join its fast‑paced data team in India. You will design and optimize Spark‑based ETL pipelines, collaborate with product and analytics teams, and own critical data processing tasks.

The role requires 6+ years of data engineering experience, strong PySpark, Python and SQL skills, and a solid grounding in data quality, governance and observability. Contract‑to‑hire arrangement applies.

Qualifications

• Bachelor’s or Master’s degree with 6+ years of data engineering and PySpark expertise.

Responsibilities

• Strong hands-on experience in PySpark, Python, and SQL.
• Designing and optimizing Spark-based ETL/ELT pipelines and data processing jobs.
• Strong understanding of BigQuery.
• Strong understanding of data quality, governance, observability, and performance tuning.
• Good collaboration, debugging, and Agile delivery skills.

Skills

PySpark

Python

SQL

ETL/ELT

BigQuery

Data governance

Data quality

Observability

Performance tuning

Agile delivery

Education

Bachelor’s or Master’s degree

Job description

Shell Info Technologies Pvt Ltd, a leading enterprise business and technology solutions partner for medium and large global customers, is seeking experienced professionals who thrive on challenge and desire to make a real difference in a fast‑paced, quality‑oriented team environment.

PySpark Developer / Senior Data Engineer

Location: Hyderabad / Bangalore / Pune / Chennai / Kolkata / Mumbai / Gurugram

Experience: 6–15 years

Mode: Contract to Hire – initially 3–6 months on Shell Infotech payroll, then permanent with client.

Responsibilities

• Strong hands‑on experience in PySpark, Python, and SQL.
• Experience designing and optimizing Spark‑based ETL/ELT pipelines and data processing jobs.
• Strong understanding of BigQuery.
• Strong understanding of data quality, governance, observability, and performance tuning.
• Good collaboration, debugging, and Agile delivery skills.

Qualifications

• Bachelor’s or Master’s degree plus 6+ years of data engineering experience with strong PySpark expertise.