Job Description
Job Title:  Data Engineer - Snowflake
City:  Bengaluru
State/Province:  Karnataka
Posting Start Date:  5/25/26
Wipro Limited (NYSE: WIT, BSE: 507685, NSE: WIPRO) is a leading technology services and consulting company focused on building innovative solutions that address clients’ most complex digital transformation needs. Leveraging our holistic portfolio of capabilities in consulting, design, engineering, and operations, we help clients realize their boldest ambitions and build future-ready, sustainable businesses. With over 230,000 employees and business partners across 65 countries, we deliver on the promise of helping our customers, colleagues, and communities thrive in an ever-changing world. For additional information, visit us at www.wipro.com.
Job Description: 

Job Description

Role Purpose

The purpose of this role is to design, test and maintain software programs for operating systems or applications which needs to be deployed at a client end and ensure its meet 100% quality assurance parameters

͏

Key Responsibilities:

  • Migrate and refactor data pipelines, job scheduling, and extraction logic to AWS Lakehouse
  • Execute data migration ensuring integrity and accuracy
  • Convert and optimize legacy SQL/Spark workloads for Snowflake & Iceberg
  • Perform data reconciliation and validation to ensure production equivalence
  • Analyze usage patterns and support data product delivery
  • Engage stakeholders for sign-off and ensure business alignment

Required Skills & Experience:

  • 4–7 years hands-on experience in Data Engineering
  • Strong coding in Python or Java
  • Expertise in SQL, Spark, Kafka
  • Experience with Snowflake, Iceberg, Hadoop (Hive/HDFS)
  • Knowledge of data modeling (SCD, schema evolution, partitioning)
  • Understanding of CI/CD, SDLC & Kubernetes deployments
  • Familiarity with data formats: JSON, Avro, Parquet

Core Competencies:

  • Strong ownership and delivery focus
  • Excellent stakeholder communication
  • Collaborative team player with global exposure
  • High attention to data quality and problem-solving

͏

Key Responsibilities:

  • Migrate and refactor data pipelines, job scheduling, and extraction logic to AWS Lakehouse
  • Execute data migration ensuring integrity and accuracy
  • Convert and optimize legacy SQL/Spark workloads for Snowflake & Iceberg
  • Perform data reconciliation and validation to ensure production equivalence
  • Analyze usage patterns and support data product delivery
  • Engage stakeholders for sign-off and ensure business alignment

Required Skills & Experience:

  • 4–7 years hands-on experience in Data Engineering
  • Strong coding in Python or Java
  • Expertise in SQL, Spark, Kafka
  • Experience with Snowflake, Iceberg, Hadoop (Hive/HDFS)
  • Knowledge of data modeling (SCD, schema evolution, partitioning)
  • Understanding of CI/CD, SDLC & Kubernetes deployments
  • Familiarity with data formats: JSON, Avro, Parquet

Core Competencies:

  • Strong ownership and delivery focus
  • Excellent stakeholder communication
  • Collaborative team player with global exposure
  • High attention to data quality and problem-solving

͏

Key Responsibilities:

  • Migrate and refactor data pipelines, job scheduling, and extraction logic to AWS Lakehouse
  • Execute data migration ensuring integrity and accuracy
  • Convert and optimize legacy SQL/Spark workloads for Snowflake & Iceberg
  • Perform data reconciliation and validation to ensure production equivalence
  • Analyze usage patterns and support data product delivery
  • Engage stakeholders for sign-off and ensure business alignment

Required Skills & Experience:

  • 4–7 years hands-on experience in Data Engineering
  • Strong coding in Python or Java
  • Expertise in SQL, Spark, Kafka
  • Experience with Snowflake, Iceberg, Hadoop (Hive/HDFS)
  • Knowledge of data modeling (SCD, schema evolution, partitioning)
  • Understanding of CI/CD, SDLC & Kubernetes deployments
  • Familiarity with data formats: JSON, Avro, Parquet

Core Competencies:

  • Strong ownership and delivery focus
  • Excellent stakeholder communication
  • Collaborative team player with global exposure
  • High attention to data quality and problem-solving

͏

Deliver

No. Performance Parameter Measure
1. Continuous Integration, Deployment & Monitoring of Software 100% error free on boarding & implementation, throughput %, Adherence to the schedule/ release plan
2. Quality & CSAT On-Time Delivery, Manage software, Troubleshoot queries, Customer experience, completion of assigned certifications for skill upgradation
3. MIS & Reporting 100% on time MIS & report generation

 
Mandatory Skills: Snowflake Data Engineering .

 

Experience: 3-5 Years .

 

Reinvent your world. We are building a modern Wipro. We are an end-to-end digital transformation partner with the boldest ambitions. To realize them, we need people inspired by reinvention. Of yourself, your career, and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA - as the world around us changes, so do we. Join a business powered by purpose and a place that empowers you to design your own reinvention.
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