Senior Data Engineer – R01569889

Brillio; Bengaluru; On-site; INR 1,200,000 - 2,400,000; Full time

Job summary

Brillio in Bengaluru is seeking a Senior Data Engineer to design, develop, and maintain data pipelines using IICS and Snowflake. You will build scalable data integration processes, optimize SQL, and implement robust data loading strategies to support business analytics.

The role emphasizes collaboration with business analysts and data teams, ensuring data quality, and contributing to production deployments in a fast-paced cloud environment.

Qualifications

• Experience designing, developing, and maintaining data integration and data warehouse solutions using IICS and Snowflake.
• Strong SQL development and query optimization.
• Knowledge of incremental loads, CDC, SCD patterns, and Snowflake features.

Responsibilities

• Design, develop, and maintain ETL/ELT pipelines using IICS to support scalable data integration.
• Implement and optimize data integration workflows with IICS CDI, with robust error handling and scheduling.
• Develop complex mappings, mapping tasks, and taskflows for data movement and transformation.
• Build and maintain Snowflake data warehouse solutions including databases, schemas, tables, views, and stages.
• Write and optimize advanced SQL queries and Snowflake stored procedures for high-performance processing.
• Implement data loading strategies from diverse sources into Snowflake (incremental, CDC, SCD).
• Perform data transformation, cleansing, validation, and reconciliation to ensure data quality.
• Troubleshoot ETL failures, data issues, and performance bottlenecks.
• Collaborate with analysts, data architects, QA, and other teams for end-to-end solutions.

Skills

ETL/ELT development

Data warehousing concepts

SQL proficiency

Data validation & reconciliation

Performance tuning

Collaboration with stakeholders

Problem solving & debugging

Scheduling & automation

Education

Bachelor’s degree in CS/IT/Engineering

Snowflake or Informatica Cloud Data Integration certifications

Tools

Informatica Intelligent Cloud Services (IICS)

Cloud Data Integration (CDI)

Snowflake

Python or scripting

Job description

• DataStream, ETL Fundamentals, SQL, SQL (Basic + Advanced), Python, Data Warehousing, Time Travel and Fail Safe, Snowpipe, SnowSQL, Modern Data Platform Fundamentals, Data Modelling Fundamentals, PLSQL, T-SQL, Stored Procedures

Job requirements

• Experience Range: With at least 5 to 8 years of experience designing, developing, and maintaining data integration and data warehouse solutions using IICS and Snowflake

Key Responsibilities

• 1. Design, develop, and maintain ETL/ELT pipelines using Informatica Intelligent Cloud Services (IICS) to support scalable data integration processes
• 2. Implement and optimize data integration workflows with IICS Cloud Data Integration (CDI), ensuring robust error handling, scheduling, and parameterization
• 3. Develop complex mappings, mapping tasks, taskflows, and reusable components for efficient data movement and transformation
• 4. Build and maintain Snowflake data warehouse solutions, including databases, schemas, tables, views, and stages to support business analytics
• 5. Write and optimize advanced SQL queries and Snowflake stored procedures to enable high-performance data processing and reporting
• 6. Implement data loading strategies from diverse source systems into Snowflake, including incremental loads, Change Data Capture (CDC), and Slowly Changing Dimensions (SCD) Type 1/Type 2
• 7. Perform data transformation, cleansing, validation, and reconciliation to ensure data quality and integrity
• 8. Troubleshoot ETL failures, data issues, and performance bottlenecks to ensure reliable data operations
• 9. Collaborate with business analysts, data architects, QA, and other technical teams to deliver end-to-end data solutions and support production deployments

Required Skills

• 1. Hands-on experience with Informatica Intelligent Cloud Services (IICS) and Cloud Data Integration (CDI)
• 2. Expertise in Snowflake data warehouse architecture and features including warehouses, stages, streams, tasks, time travel, and zero-copy cloning
• 3. Advanced SQL development and query optimization
• 4. Proficiency in ETL/ELT development and data warehousing concepts
• 5. Experience developing mappings, mapping tasks, and taskflows in IICS
• 6. Implementation of parameterization and error handling in ETL pipelines
• 7. Scheduling and automation of data integration workflows
• 8. Design and management of incremental and full data loads including SCD and CDC patterns

Preferred Skills

• 1. Experience with AWS or Azure cloud services for data integration and storage
• 2. Knowledge of AWS S3 or Azure Blob Storage for data ingestion
• 3. Familiarity with CI/CD and DevOps practices for ETL pipeline deployment
• 4. Proficiency in Python or scripting languages for automation
• 5. Experience with version control and automation tools such as Git, Jenkins, or Azure DevOps
• 6. Domain experience in Life Sciences or Pharmaceutical industry

Desired Qualifications

• 1. Bachelor’s degree in Computer Science, Information Technology, Engineering, or a closely related discipline
• 2. Certification in Snowflake or Informatica Cloud Data Integration (preferred)
• 3. Certification in AWS or Azure cloud platforms (preferred)