Senior Data Engineer – Snowflake, Cloud & Data Platforms

Expertrons Delhi; Pune District; On-site; INR 1,000,000 - 1,500,000; Full time

Job summary

A consulting firm is seeking a Senior Data Engineer to build and operate enterprise-grade data platforms using Snowflake and cloud-native services across AWS and Azure. The ideal candidate will have 4–6 years of hands-on experience in data engineering, strong expertise in Snowflake and SQL, and familiarity with Airflow for orchestrating data pipelines. This role emphasizes collaboration and ensuring data quality for analytics and business use cases.

Qualifications

• 4–6 years of hands-on experience as a Data Engineer.
• Strong experience with Snowflake, including transformations and performance tuning.
• Advanced SQL and solid Python experience for data processing.

Responsibilities

• Build and maintain Snowflake-centric data pipelines across cloud environments.
• Design, build, and maintain Airflow DAGs for data orchestration.
• Implement layered data models following RAW, STG, OPS, and MART patterns.

Skills

Data Engineering

Snowflake

SQL

Python

Airflow

AWS

Azure

Data Warehousing

Tools

Snowflake

Airflow

AWS

Azure

Job description

Overview

Senior Data Engineer to build and operate enterprise-grade data platforms using Snowflake and cloud-native services across AWS and Azure. This role is focused on hands-on delivery of governed, layered data pipelines supporting analytics and business use cases.

The engineer will work on structured data lifecycle patterns such as RAW, STG, OPS, and MART, implementing rule-based transformations, validations, and reusable data assets aligned with Data Fabric principles.

Responsibilities

• Build and maintain Snowflake-centric data pipelines across cloud environments
• Design, build, and maintain Airflow DAGs to orchestrate data pipelines across ingestion, transformation, and publishing layers.
• Implement layered data models following RAW, STG, OPS, and MART patterns
• Develop rule-based transformations, validations, and enrichment logic using SQL and Python
• Design reusable and metadata-aware pipelines aligned with Data Fabric concepts
• Ingest and process data from multiple structured and semi-structured sources
• Work with cloud storage and processing services across AWS and Azure
• Ensure data quality, lineage, access control, and audit readiness
• Support analytics and reporting use cases with well-modeled data marts
• Troubleshoot pipeline failures, performance issues, and data inconsistencies
• Collaborate with cross-functional teams to translate business rules into data logic

Must Have Skills

• 4–6 years of hands-on experience as a Data Engineer
• Strong experience with Snowflake, including transformations and performance tuning
• Advanced SQL and solid Python experience for data processing
• Experience implementing layered data architectures (RAW, STG, OPS, MART or similar)
• Strong understanding of data warehousing and ELT concepts
• Hands-on experience authoring and operating Airflow DAGs for production data pipelines
• Experience working in cloud environments (AWS and/or Azure)
• Ability to implement business rules, validations, and data quality checks
• Strong problem-solving skills and production support experience

Good-to-Have Skills

• Experience with Azure data services (ADLS, ADF, Synapse, Fabric, etc.)
• Exposure to Data Fabric or metadata-driven data platform concepts
• Experience with data governance, lineage, or catalog tools
• Familiarity with CI/CD practices for data pipelines
• Experience working in enterprise or regulated environments

How to Apply

Please share your resume at [e-mail]