Project Description:

We are seeking a highly experienced Senior Data Engineer to design, develop, and optimize enterprise-scale data platforms using up-to-date cloud technologies. The role involves building robust ELT pipelines, scalable data models, and analytics-ready datasets leveraging Snowflake, Azure Data Factory (ADF), DBT, Python, and SQL. The ideal candidate will play a key role in enabling data-driven decision making by delivering high-quality, governed, and performant data solutions.

Responsibilities:

Key Responsibilities

- Design and develop scalable ELT pipelines using Snowflake, ADF, DBT, and Python.
- Build and maintain enterprise data models including 3NF, Star Schema, and Snowflake Schema.
- Optimize Snowflake performance through query tuning, clustering, micro-partitioning, and warehouse management.
- Develop reusable and modular data transformation frameworks using DBT (Jinja, Macros, Testing, Documentation).
- Automate data ingestion, transformation,



and operational processes using Python, Pandas, and PySpark.
- Implement workflow orchestration using tools such as Apache Airflow, Prefect, or Dagster.
- Establish data quality, governance, monitoring, and CI/CD best practices.
- Collaborate with Data Analysts, Data Scientists, Product Owners, and Business Stakeholders to deliver trusted data products.
- Create and maintain technical documentation, deployment procedures, and operational runbooks.

Mandatory Skills Description:

Mandatory Skills

- Snowflake Data Warehouse
- Azure Data Factory (ADF)
- DBT
- Python
- Advanced SQL
- Data Modeling (3NF, Star Schema, Snowflake Schema)
- Apache Airflow / Prefect / Dagster
- Cloud Platforms (Azure preferred)
- Git and CI/CD
- Data Quality and Governance Frameworks
- Agile/Scrum Methodology

📌 Senior Data Engineer (immediate joiner) (India)
🏢 Luxoft
📍 India