Data Engineer Lead

MassMutual Global Business Services India LLP; Hyderabad; On-site; INR 900,000 - 1,300,000; Full time

Job summary

MassMutual Global Business Services India LLP is seeking a senior data engineer to design and optimize analytics platforms. The role emphasizes building automated ELT/ETL pipelines, data modeling, and scalable data stores across cloud platforms.

The candidate will work with Python, SQL, and Airflow, and contribute to performance tuning, CI/CD practices, and robust data governance. Strong communication and problem-solving skills are essential.

Qualifications

• 8–10+ years of experience in data engineering, data design, and analytics platforms.
• 5+ years hands-on development using Python and SQL.
• 4+ years of experience with cloud platforms (AWS preferred).
• 4+ years of experience with workflow orchestration tools such as Airflow.
• Strong experience designing and implementing automated ELT/ETL pipelines.
• Experience with relational, columnar, NoSQL, and cloud data stores (e.g., Vertica, RedShift, cloud data warehouses).
• Proven expertise in SQL performance tuning and troubleshooting.
• Proficiency with Git-based version control and CI/CD pipelines.

Skills

Data engineering

Python

SQL

AWS

Airflow

ELT/ETL

Data modeling

Data integrity

Git

CI/CD

Tools

Vertica

Redshift

NoSQL

Cloud data stores

Job description

Experience

• 8–10+ yearsof experience in data engineering, data design, and analytics platforms.
• 5+ yearsof hands‑on development using Python and SQL.
• 4+ yearsof experience with cloud platforms (AWS preferred).
• 4+ yearsof experience with workflow orchestration tools such as Airflow.
• Strong experience designing and implementing automated ELT/ETL pipelines.
• Experience with relational, columnar, NoSQL, and cloud data stores(e.g., Vertica, RedShift, cloud data warehouses).
• Proven expertise in SQL performance tuning and troubleshooting.
• Proficiency with Git-based version control and CI/CD pipelines.

Core Skills

• Strong data modeling and data integrity expertise.
• Excellent analytical, problem-solving, and multitasking skills.
• Ability to independently drive complex data initiatives.
• Strong verbal and written communication skills.