Senior Data Engineer

Job Title: Senior Data Engineer 

Experience: 3 - 6 yrs 

Employment Type: Full-time

Location: Delhi/Mohali 

Overview:

Our client, is a fast-growing AI solutions company led by alumni from IITs and IIMs. 

In this role, you'll architect, develop, and deploy intelligent systems across diverse domains. You'll work closely with top-tier data scientists, engineers, and product innovators to turn complex challenges into actionable insights using vast datasets and cutting-edge tools.

If you're eager to make a real-world impact and thrive in a dynamic, future-focused environment,  this is your moment to shine.

About the Role

We are seeking a Senior Data Engineer with strong expertise in distributed data systems, real-time streaming, and cloud-based data warehouses. You'll design and maintain scalable data pipelines, optimize performance, and mentor junior engineers.

Key Responsibilities

• Design, build, and optimize ETL/ELT pipelines using Spark (Scala/PySpark) and modern data tools.

• Architect and manage data lakes and warehouses (AWS, Snowflake, ADF) with a strong focus on data modelling and migration.

• Develop real-time streaming solutions with Kafka Streams (Java) and ensure high data reliability.

• Collaborate with cross-functional teams to deliver scalable, AI-ready data solutions and analytics support.

• Contribute to CI/CD, containerization (Docker/Kubernetes), and uphold best practices in data engineering.

• Mentor junior engineers and drive continuous improvement within the team.

   

Required Skills

• 4-6 years in Data Engineering

• SQL, Python, and Java/Scala knowledge

• At least one of Snowflake / Databricks / Azure Data Factory / dbt

• At least one of PostgreSQL / Oracle / MySQL / SQL Server

• Experience in building ETL pipelines

• AWS services (S3, RDS, Glue, EMR, Redshift, Athena, Lambda)

• Data Migration, Data warehousing, Data modelling

• Knowledge about latest AI models (especially LLMs and VLMs)

   

Good to have skills:

• Data Analytics skills

• Knowledge about Machine Learning techniques

• Either of Power BI / Tableau / Qlik / Looker

• Real-time streaming applications (Kafka streams/Java)

• Kubernetes, Docker