Data Engineer - Python & Snowflake

Luxoft; Karnataka; On-site; INR 800,000 - 1,800,000; Full time

Job summary

Luxoft is seeking an experienced Data Engineer to design, develop, and maintain scalable data pipelines and analytics solutions using Python, Snowflake and SQL. You will design, develop, and maintain robust data pipelines and ETL/ELT workflows.

You will optimize Snowflake workloads, implement robust data quality checks, work with REST APIs and various data formats, and collaborate with Data Architects, Analysts and Data Scientists across enterprise teams.

Qualifications

• 8+ years in data engineering, ideally in banking.
• Hands-on Python for data engineering and automation.
• Proficient with Snowflake data warehouse.
• Advanced SQL skills (joins, CTEs, window functions, procedures).
• Experience with REST APIs and JSON/CSV/Parquet.
• Experience with Git and CI/CD practices.

Responsibilities

• Design, develop, and maintain robust data pipelines and ETL/ELT workflows.
• Develop Python-based data ingestion, transformation, and processing solutions.
• Optimize Snowflake performance and data structures.
• Write complex SQL queries and data models for analytics.
• Collaborate with Data Architects, Analysts, Scientists, and app teams.
• Participate in code reviews, testing, deployment, and production support.
• Implement data-quality checks, logging, monitoring, and error handling.
• Follow secure and reliable handling of enterprise data.

Skills

Python data eng

Snowflake data wareh

Advanced SQL

ETL/ELT dev

Data ingestion

REST APIs

Git & CI/CD

Data warehousing

Data quality checks

Troubleshooting

Job description

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