Job

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

Listed from the company's public job post; the company is responsible for it. Always apply on the official page and never pay to apply. How listings work

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