Data Engineer

Overview

Role Overview

We are looking for a Senior Data Engineer who will play a key role in designing, building, and maintaining data ingestion frameworks and scalable data pipelines. The ideal candidate should have strong expertise in platform architecture, data modeling, and cloud-based data solutions to support real-time and batch processing needs.

What you'll be doing:

• Design, develop, and optimise DBT models to support scalable data transformations.
• Architect and implement modern ELT pipelines using DBT and orchestration tools like Apache Airflow and Prefect.
• Lead performance tuning and query optimization for DBT models running on Snowflake, Redshift, or Databricks
• Integrate DBT workflows & pipelines with AWS services (S3, Lambda, Step Functions, RDS, Glue) and event-driven architectures
• Implement robust data ingestion processes from multiple sources, including manufacturing execution systems (MES), Manufacturing stations, and web applications.
• Manage and monitor orchestration tools (Airflow, Prefect) for automated DBT model execution.
• Implement CI/CD best practices for DBT, ensuring version control, automated testing, and deployment workflows.
• Troubleshoot data pipeline issues and provide solutions for optimizing cost and performance.

What you'll have:

• 5+ years of hands-on experience with DBT, including model design, testing, and performance tuning.
• 5+ years of Strong SQL expertise with experience in analytical query optimization and database performance tuning.
• 5+ years of programming experience, especially in building custom DBT macros, scripts, APIs, working with AWS services using boto3.
• 3+ years of Experience with orchestration tools like Apache Airflow, Prefect for scheduling DBT jobs.
• Hands-on experience in modern cloud data platforms like Snowflake, Redshift, Databricks, or Big Query
• Experience with AWS data services (S3, Lambda, Step Functions, RDS, SQS, CloudWatch).
• Familiarity with serverless architectures and infrastructure as code (CloudFormation/Terraform).
• Ability to effectively communicate timelines and deliver MVPs set for the sprint.
• Strong analytical and problem-solving skills, with the ability to work across cross-functional teams.

Nice to haves:

• Experience in hardware manufacturing data processing.
• Contributions to open-source data engineering tools.
• Knowledge of Tableau or other BI tools for data visualization.
• Understanding of front-end development (React, JavaScript, or similar) to collaborate effectively with UI teams or build internal tools for data visualization

Job Type: Full-time

Pay: Up to ₹5,000,000.00 per year

Schedule:

• Day shift

Application Question(s):

• What is your total yrs of exp?
• Exp as a Data Engineer?
• Exp in Python?
• Exp in SQL?
• Exp in Snowflake?

Work Location: In person