Data Engineer

Role Summary We are looking for a highly experienced Senior Developer with

6+ years of overall experience to work on enterprise-scale data integration and cloud data platforms. The ideal candidate should have strong hands-on expertise in

Informatica Intelligent Cloud Services (IICS) ,

cloud databases (preferably Google BigQuery) , and

data warehousing concepts , along with the ability to function both as an

individual contributor and a

technical lead based on project needs.

Key Responsibilities

• Design, develop, and maintain data integration solutions using

Informatica Intelligent Cloud Services (IICS) .

• Work extensively with

cloud databases , preferably

Google BigQuery , to develop and optimize data pipelines and transformations.

• Apply strong

data warehousing concepts (fact/dimension modeling, ETL/ELT patterns, performance tuning).

• Write and optimize

complex SQL queries , including

stored procedures , for large-scale datasets.

• High level understanding of

OLTP systems ; experience with

Cloud Spanner on GCP is highly preferred.

• Act as an

individual contributor for hands-on development when required.

• Lead and manage a team by providing

technical and functional guidance , code reviews, and solution support.

• Collaborate closely with

business users to understand requirements and translate them into technical solutions.

• Work with the

Architecture team to ensure alignment with enterprise data and cloud standards.

• Support UAT, production deployments, and post-deployment issue resolution.
• Ensure data quality, performance, scalability, and reliability of implemented solutions.

Required Skills & Experience

• 6+ years of overall IT experience, with a strong focus on data engineering and development.
• Proven hands-on experience in

IICS development projects .

• Strong experience with

Google BigQuery or other cloud databases (GCP preferred).

• In-depth knowledge of

data warehousing architecture and best practices .

• Advanced proficiency in

SQL , including complex queries, performance tuning, and stored procedures.

• Having experience with

GCP Cloud Spanner is a strong advantage.

• Experience working in

cloud-based data ecosystems .

• Ability to balance

hands-on development and

team leadership responsibilities.

• Strong communication skills to work effectively with business stakeholders and technical teams.