Theomnihire

Data Control Engineer | 4–6 Years | Immediate Joiners Preferred

Theomnihire · Bengaluru, Karnataka, India

Staffing and Recruiting

May 20
Senior (5-10 yrs) Full-time India
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About the role

Design, develop, and optimize scalable ETL/ELT data pipelines while maintaining robust data warehouse solutions for enterprise reporting. Collaborate with cross-functional teams to ensure data quality, governance, and performance optimization across the cloud-based data ecosystem.

What they look for

SQL Unix Shell Scripting Informatica PowerCenter Snowflake AWS Data Services Data Warehousing ETL Pipeline Development Data Modeling Performance Tuning Data Governance Cloud Data Services Automation Data Integration Troubleshooting Informatica IDMC

Requirements

Requires 4 to 6 years of experience with strong expertise in SQL, Unix Shell Scripting, Informatica PowerCenter, and Snowflake. Candidates must have a solid understanding of data warehousing concepts and experience building cloud-native data integration solutions using AWS.

Full description

Experience Required:

4 to 6 Years

Shift Timings:

12:30 PM – 9:30 PM

We are looking for a highly skilled Data Engineer to join our growing team and work on cutting-edge data engineering and cloud-based data transformation projects. If you have strong expertise in data warehousing, ETL pipeline development, and cloud data services, this is an excellent opportunity to work with modern enterprise data platforms and scalable architectures.

Key Responsibilities:

  • Design,

develop, and optimize scalable ETL/ELT data pipelines

  • Build

and maintain robust data warehouse solutions for enterprise reporting and analytics

  • Develop

and support workflows using Informatica PowerCenter

  • Work

extensively with Snowflake for data modeling, performance tuning, and optimization

  • Develop

and maintain SQL scripts and Unix shell scripts for automation and data processing

  • Work

with AWS data services to build cloud-native data integration solutions

  • Ensure

data quality, integrity, and governance across data pipelines

  • Troubleshoot

production issues and optimize performance across the data ecosystem

  • Collaborate

with cross-functional teams to gather business requirements and deliver scalable solutions

Requirements

Must-Have Skills:

  • Strong

expertise in SQL

  • Hands-on

experience with Unix Shell Scripting

  • Informatica

PowerCenter

  • Snowflake
  • AWS

Data Services

  • Strong

understanding of Data Warehousing concepts

  • Experience

in Data Pipeline development and optimization

Good to Have:

  • Experience

with Informatica Intelligent Data Management Cloud (IDMC) / Informatica Cloud

What We’re Looking For:

  • Strong

analytical and problem-solving mindset

  • Ability

to work in a fast-paced, collaborative environment

  • Excellent

communication and troubleshooting skills

  • Passion

for building scalable and efficient data solutions

If you are passionate about modern data engineering, cloud transformation, and enterprise-scale data solutions, we would love to connect with you.