Role: Data Engineer

Band: BPO5

Experience: 8+ Years (Minimum 5 years of relevant Data Engineering experience)

Location: PAN India

Shift: General Shift

Salary: Up to ₹16–17 LPA

Key Responsibilities

• Design, develop, and maintain scalable data pipelines for structured and unstructured data.

• Build ETL/ELT workflows and automate data integration processes.

• Work with cloud platforms such as AWS, Azure, or GCP.

• Develop data solutions using Python/R, SQL, NoSQL, Apache Spark (Databricks).

• Manage data warehouses and data lakes (Snowflake, Amazon Redshift, etc.).

• Collaborate with cross-functional teams to support clinical data integration and analytics.

• Implement data quality, integrity, and validation checks.

• Develop reusable frameworks, APIs, and data transformation processes.

• Support visualization, reporting, and large-scale data processing.

• Follow SOPs, GCP guidelines, and project quality standards.

Required Skills

• Minimum 5 years of Data Engineering experience.

• Strong expertise in Python or R, SQL, and NoSQL.

• Hands-on experience with AWS, Azure, or GCP.

• Experience with Apache Spark (Databricks).

• Knowledge of ETL/ELT, Data Warehousing, and Data Lakes.

• Experience with GitHub/GitLab, Jenkins, APIs, XML, and JSON.

• Strong analytical, problem-solving, and project management skills.

Preferred Skills

• Experience with Hadoop.

• Experience developing R Shiny or Python Apps.

• Agile development experience.

• R or Python certification.

Educational Qualification

• Bachelor's Degree in Computer Science, Statistics, Biostatistics, Mathematics, Biology, or any related technical/healthcare field.

• Graduation is mandatory.

Important Notes

• PAN and Date of Birth (DOB) are mandatory for employee profile creation.

• Former or current TCS/Tata employees are not eligible to apply.

Questionnaire Form (Mandatory)

https://myglit.com/lateral/cref/10f5d7e240

Note: Filling out the above questionnaire form is mandatory. Applications submitted without completing the form will not be considered.