Data Engineer - Python & Snowflake
Luxoft · Karnataka
- Company
- Luxoft
- Type
- Job
- Work mode
- On-site
- Location
- Karnataka
- Posted
- 3 Nov 2026
About this job
Project description
We are looking for an experienced Data Engineer with strong hands-on expertise in Python, Snowflake, SQL, and data engineering technologies. You will be responsible for designing, developing, and maintaining scalable data pipelines and solutions supporting enterprise data and analytics platforms.
Responsibilities
- Design, develop, and maintain robust data pipelines and ETL/ELT workflows.
- Develop Python-based solutions for data ingestion, transformation, validation, and processing.
- Build and optimize data solutions using Snowflake.
- Write complex and performance-optimized SQL queries.
- Develop data pipelines to integrate data from databases, APIs, files, and other enterprise data sources.
- Perform data transformations and implement business rules according to functional requirements.
- Design and maintain data models suitable for analytical and reporting requirements.
- Troubleshoot pipeline failures, data-quality issues, and performance bottlenecks.
- Optimize Snowflake queries, data structures, and workloads for performance and scalability.
- Implement appropriate data-quality checks, reconciliation, logging, monitoring, and error handling.
- Work closely with Data Architects, Business Analysts, Data Scientists, and application teams.
- Participate in code reviews, testing, deployment, and production support.
- Follow engineering standards for secure and reliable handling of enterprise data.
Must have
- At least 8 years of experience working within data engineering area, preferably within banking industry.
- Strong hands-on experience with Python for data engineering and automation.
- Strong experience with Snowflake data warehouse.
- Advanced knowledge of SQL, including joins, CTEs, window functions, stored procedures, and query optimization.
- Good understanding of ETL/ELT architecture and data pipeline development.
- Experience with data ingestion and transformation of large datasets.
- Good understanding of data warehousing concepts, dimensional modelling, and data marts.
- Experience with REST APIs and structured/semi-structured formats such as JSON, CSV, and Parquet.
- Experience with Git and CI/CD practices.
- Strong debugging and production troubleshooting skills.
Nice to have
N/A
Languages
English: C1 Advanced
03/11/2026
Req. VR-125788
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