Data Engineer

MSH India; Bengaluru; On-site; INR 1,500,000 - 2,100,000; Full time

Job summary

MSH India is seeking a Senior Developer with 6+ years of data engineering experience to lead enterprise-scale data integration and cloud data platforms. You will work with Informatica Intelligent Cloud Services (IICS), Google BigQuery, and data warehousing concepts, balancing hands-on development with technical leadership.

The role requires strong SQL skills, exposure to Cloud Spanner on GCP is a plus, and collaboration with business users and architecture teams to ensure scalable solutions.

Qualifications

• 6+ years of IT experience with data engineering focus.
• Strong knowledge of Google BigQuery and cloud databases.
• Solid understanding of data warehousing concepts.
• Advanced SQL skills including complex queries and stored procedures.
• GCP Cloud Spanner experience is a strong advantage.
• Ability to balance hands-on development with team leadership.
• Excellent communication with business and technical teams.

Responsibilities

• Design, develop, and maintain data integration solutions using IICS.
• Develop pipelines with BigQuery and other cloud databases.
• Apply data warehousing patterns and performance tuning.
• Write and optimize complex SQL queries including stored procedures.
• Collaborate with architecture and business users.
• Provide technical guidance and code reviews.
• Support deployments and data quality initiatives.

Skills

Data engineering

SQL proficiency

Leadership

Tools

Informatica IICS

Google BigQuery

Cloud Spanner

Job description

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.
• 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.