Assistant Manager - Sr. Data Engineering | Databricks | ADF | Snowflake

WNS Global Services; Bengaluru; Sur place; INR 1 500 000 - 2 300 000; Plein temps

Résumé du poste

WNS Global Services in Bengaluru is seeking a Senior Data Engineer with 4 to 5 years of experience to build data pipelines for an enterprise finance data platform on Azure, Databricks and Snowflake. You will develop ingestion and transformation jobs, build Gold data products and publish them to Snowflake for reporting.

You will work with Azure Data Factory, PySpark, SQL, and dimensional modelling, ensure data quality and implement tests and CI/CD via Azure DevOps.

Qualifications

• 4–5 years in data engineering.
• Degree in engineering or computer applications (B.E., B.Tech or MCA).

Responsabilités

• Build ingestion pipelines from finance source systems using Azure Data Factory, change data capture, and API and event-driven feeds.
• Develop transformations in Databricks across Bronze, Silver and Gold layers using PySpark and Spark SQL.
• Build conformed dimensions and fact tables to the data model.
• Load certified Gold data into Snowflake for reporting.
• Add data quality, reconciliation and logging checks to pipelines.
• Write unit tests and support system and user acceptance testing.
• Follow coding standards and participate in code reviews.
• Deploy code through Azure DevOps pipelines.
• Investigate and fix pipeline failures and data issues.
• Document pipelines, mappings and run procedures.

Connaissances

Databricks

Azure Data Factory

Snowflake

Python

Advanced SQL

Dimensional modelling

Git & Azure DevOps

Formation

Engineering or MCA degree

Outils

Databricks

Azure Data Factory

Snowflake

Description du poste

Assistant Manager - Sr. Data Engineering | Databricks | ADF | Snowflake

• Full-time

WNS, part of Capgemini, is an Agentic AI-powered leader in intelligent operations and transformation, serving more than 700 clients across 10 industries, including Banking and Financial Services, Healthcare, Insurance, Shipping and Logistics, and Travel and Hospitality. We bring together deep domain excellence - WNS' core differentiator - with AI-powered platforms and analytics to help businesses innovate, scale, adapt and build resilience in a world defined by disruption.

Our purpose is clear: to enable lasting business value by designing intelligent, human-led solutions that deliver sustainable outcomes and a differentiated impact. With three global headquarters across four continents, operations in 13 countries, 65 delivery centers and more than 66,000 employees, WNS combines scale, expertise and execution to create meaningful, measurable impact.

Why Join Us?

We promise our employees to experiencerole clarity, coaching and mentoring, professional development and structured career path through our 5 people promisesand keeping employee experience at the core. Experience the culture of Outperformance, engagement, celebration and enjoy wide variety ofbest in class benefits including free HMO coverage for self and dependent from Day 1; Also contribute to society through ourWNS Cares Foundation, where you have the opportunity to support meaningful initiatives and make an impact in the community.

Senior Data Engineer. We are looking for a Senior Data Engineer with 4 to 5 years of experience to build data pipelines for an enterprise finance data platform on Azure, Databricks and Snowflake. You will develop ingestion and transformation jobs, build Gold data products and publish them to Snowflake for reporting.

KEY RESPONSIBILITIES

• Build ingestion pipelines from finance source systems using Azure Data Factory, change data capture, and API and event-driven feeds
• Develop transformations in Databricks across the Bronze, Silver and Gold layers using PySpark and Spark SQL
• Build conformed dimensions and fact tables to the agreed data model
• Load certified Gold data into Snowflake and build the views used by reporting teams
• Add data quality, reconciliation and logging checks to pipelines
• Write unit tests and support system and user acceptance testing
• Follow coding standards and take part in code reviews
• Deploy code through Azure DevOps pipelines
• Investigate and fix pipeline failures and data issues
• Document pipelines, mappings and run procedures

TECHNICAL SKILLS

Must-have

• Databricks, including PySpark, Spark SQL and Delta Lake
• Azure Data Factory
• Snowflake SQL and data loading
• Python and advanced SQL
• Dimensional modelling
• Git and Azure DevOps

Good-to-have

• Informatica CDC
• Azure Functions and Service Bus
• Unity Catalog
• Delta Live Tables
• Power BI

DOMAIN KNOWLEDGE

• Finance data such as general ledger, trial balance, sub-ledgers and bank statements
• Finance source systems such as SAP, TM1 and lending platforms

CERTIFICATIONS (GOOD TO HAVE)

• Databricks Certified Data Engineer Associate
• SnowPro Core

EXPERIENCE AND QUALIFICATIONS

• 4 to 5 years in data engineering, with at least 2 years on Databricks or Snowflake
• Worked on at least one cloud data platform project that went into production
• Degree in engineering or computer applications (B.E., B.Tech or MCA)
• Degree in engineering or computer applications (B.E., B.Tech or MCA)