Data Engineer-(IDMC+Snowflake+SQL)

Job Information

• Job Type Permanent
• Date Opened 10/07/2026
• Work Shift UK Shift
• Work Experience 5 - 7 years
• Industry IT Services
• Work Location Pune - Client Workplace
• State/Province Tamil Nadu
• City Chennai City Corporation
• Zip/Postal Code 600020
• Country India

Job Description

Position: Midlevel- Data Engineer-(IDMC+Snowflake+SQL)

Location: Pune/Hybrid

Experience: Min 5 to 7 Years

•

Development, maintenance, and enhancement of Data Pipelines (ETL/ELT) and processes with thorough knowledge of star/snowflake schemas

•

Hands on experience in PowerCenter Developer/IDMC/IICS Data Integration

•

Experience in DW Production Support / troubleshooting data or pipeline issues

•

Developing complex SQL queries and SQL optimization

•

Development experience must be full Life Cycle experience including business requirements gathering, data sourcing, testing/data reconciliation, and deployment within Business Intelligence/Data Warehousing Architecture.

•

Designing and implementing data security

•

Monitoring and optimizing data storage and data processing

•

Use of Object function/object-oriented scripting languages including Scala, C++, Java and Python

•

Cloud data warehouse and data lake platforms (e.g., Snowflake, Databricks, Redshift, BigQuery, MS Synapse, MS ADLS, Apache Haddop, etc.)

•

Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores.

•

Strong project management and organizational skills.

•

Experience supporting and working with cross-functional teams in a dynamic environment.

•

Understanding of data science concepts

•

Familiarity with AI/ML frameworks and libraries

Requirements

•

Developing data services that are fit for purpose, resilient, scalable, and future proof, to meet user needs

•

Advanced SQL knowledge and experience working with relational databases and working familiarity with various databases.

•

Demonstrated understanding and experience using software and tools including ETL, relational SQL and NoSQL databases, big data tools like Kafka, Spark, and Hadoop

•

Experience building and optimizing ‘big data’ data pipelines, architecture, and data sets.

•

Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.

•

Strong analytic skills related to working with unstructured datasets.

•

Experience and knowledge of project management best practices and agile software development methodologies

•

A successful history of manipulating, processing, and extracting value from large, disconnected datasets.

•

Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores.

•

Strong project management and organizational skills.

•

Experience supporting and working with cross-functional teams in a dynamic environment.

•

Understanding of data science concepts

•

Familiarity with AI/ML frameworks and libraries