Job Description

Senior Data Engineer - Snowflake, Cloud & Data Platforms

Location :Pune, India

Experience:4-6 years

Role Overview

We are looking for a 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.

Key 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

This is a hands-on engineering role focused on delivery.

Interested candidates are requested to apply immediately as we are looking to fill this position urgently.

Immediate joiner Only

Job Types: Full-time, Permanent

Pay: ?1,700,000.00 - ?2,000,000.00 per month

Benefits:

Health insurance Life insurance Paid sick time Provident Fund
Location:

Pune, Maharashtra (Preferred)
Work Location: In person