
Senior Data Engineer
2 weeks ago
About the CompanyBrillio is a global digital technology company focused on delivering innovative solutions in data, AI, and cloud. With a strong presence across industries like banking, healthcare, and telecom, Brillio empowers enterprises to become data-driven. As a Data Engineer at Brillio, you’ll be part of cutting-edge projects that transform complex data into actionable insights using modern platforms and tools.About the RoleAs a Senior Data Engineer, you will design, develop, and optimize high-quality data pipelines using BODS, Informatica IICS, SQL, and Oracle. You will play a key role in enabling data-driven decision-making across regulatory, finance, risk, and customer domains by building robust data solutions.Experience Required: 2 Years to 8 yearsResponsibilities- Develop, test, and maintain complex ETL workflows and ingestion pipelines. - Design DDLs and implement data models for enterprise-scale systems. - Optimize SQL queries, pipelines, and database performance. - Work collaboratively with Product Owners, Architects, and QA teams to deliver scalable solutions. - Participate in design/code reviews and ensure compliance with best practices. - Identify and automate inefficient processes, contributing to continuous improvement. - Provide support for production systems and resolve incidents. - Document data flows, pipelines, and processes for knowledge sharing.Qualifications- Solid expertise in ETL/Data Integration tools (BODS, Informatica IICS). - Strong SQL programming and database knowledge (Oracle or similar RDBMS). - Good knowledge of data modeling (relational/dimensional) and performance tuning. - Exposure to cloud platforms (AWS, Snowflake, GCP, Redshift) is an advantage. - Strong problem-solving skills and attention to detail. - Excellent communication and collaboration skills. - Prior experience in Banking/Financial domain is a plus.Required Skills- Solid expertise in ETL/Data Integration tools (BODS, Informatica IICS). - Strong SQL programming and database knowledge (Oracle or similar RDBMS). - Good knowledge of data modeling (relational/dimensional) and performance tuning. - Exposure to cloud platforms (AWS, Snowflake, GCP, Redshift) is an advantage. - Strong problem-solving skills and attention to detail. - Excellent communication and collaboration skills. - Prior experience in Banking/Financial domain is a plus.Preferred Skills- Exposure to cloud platforms (AWS, Snowflake, GCP, Redshift) is an advantage. - Prior experience in Banking/Financial domain is a plus.
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Senior Data Engineer
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