Senior Data Engineer

Tech Mahindra represents the connected world, offering innovative and customer-centric information technology experiences, enabling Enterprises, Associates, and the Society to Rise. It has 150,000+ professionals working for 1000+ Global Customers (including Fortune 500 companies) in 90 Countries. We're part of the esteemed Mahindra group, headquartered in India. Under a new CEO, Tech Mahindra is committed to a transformative journey with Scale @ Speed as our guiding principle.

Job Description:

We are seeking a highly skilled and experienced Senior Data Engineer to join our dynamic team. The ideal candidate will have a strong background in designing, building, and maintaining scalable data pipelines and platforms On Premise and Cloud Ecosystem (Microsoft Azure Preferrable), with hands-on expertise in modern data engineering tools and frameworks.

Key Responsibilities:

• Migrate data pipelines from existing data acquisition framework to the new GDP data acquisition framework
• Configure, develop and deliver data ingestion scripts for loading data into T1 data layer
• Develop and manage ETL/ELT workflows, ensuring data quality, integrity, and reliability.
• Integrate and automate data quality checks and validation processes within data pipelines.
• Deploy and manage containerized applications using Docker and orchestrate workloads on Kubernetes.
• Work with modern data lake and warehouse technologies such as Iceberg
• Implement real-time data streaming solutions using Kafka.
• Orchestrate complex workflows using Airflow.
• Integrate with data catalog and governance tools such as Datahub and Ranger.
• Collaborate with cross-functional teams to understand business requirements and deliver data solutions.
• Ensure security, compliance, and best practices in data management and governance.

Key Skills Required:

• Strong proficiency in Linux, Python, and Shell scripting.
• Hands-on experience with Docker, Kubernetes, and container orchestration.
• Hands-on experience with Minio and Azure Data Lake Storage (ADLS) using S3 protocols.
• Experience with Apache Iceberg, Kafka, Airflow, Datahub, Trino, and Ranger.
• Proficiency in Java for data engineering tasks.
• Solid understanding of data modelling, data warehousing, and big data technologies.

Prior Experience:

• Extensive background in building and maintaining data pipelines/ETL processes.
• Experience in implementing and integrating data quality frameworks.
• Extensive experience in working on migration projects moving from legacy data pipelines to modernized tech stack

Skills

Requirement

Core Big Data Platform Skills

Must have

Apache Airflow

Good to Have

Kubernetes (SKE/AKS)

Good to Have

MinIO - S3

Good to Have

DevOps

Must have

Linux & Shell Scripting

Must have

Python & Spark

Must have

SQL

Must have

Java

Good to Have