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Brillio

Sr Data Specialist - R01568425

LocationPune, Maharashtra, India
Work modehybrid
SeniorityLead
Experience4–6 yrs
DepartmentAI & Data Engineering, AI & Data Engineering : Data Engineering
Company size5,001–10,000 people
PostedJul 16, 2026 · 2mo ago
Verified live9h ago
At a glanceSummarised by Seekless from the posting.
Must have9
4 to 6 years of experience
Hands-on expertise in ETL and Informatica MDM solutions
Advanced SQL programming
Python for data engineering
Enterprise data warehousing
Data modeling for large-scale systems
PLSQL
T-SQL
Stored procedures development
Nice to have6
Experience with cloud-based ETL tools such as Azure Data Factory or AWS Glue
Expertise in master data management platforms beyond Informatica
Knowledge of big data technologies such as Spark or Hadoop
Familiarity with data governance frameworks
Proficiency in performance tuning and optimization of ETL processes
Bachelor’s degree in Computer Science, Information Technology, or a related field
Skills
ETL
SQL
Python
Data Warehousing
Data Modelling
PLSQL
T-SQL
Stored Procedures
Informatica MDM
Spark
Hadoop
Lead Data Engineer
Primary Skills
•
ETL Fundamentals, SQL, SQL (Basic + Advanced), Python, Data Warehousing, Modern Data Platform Fundamentals, Data Modelling Fundamentals, PLSQL, T-SQL, Stored Procedures
Specialization
•
ETL Specialization: Data Engineer
Job requirements
•
Experience Range: 4 to 6 years of experience, including hands-on expertise in ETL and Informatica MDM solutions Key Responsibilities: 1. Design and implement robust ETL pipelines using Informatica MDM to ensure accurate data integration and management across enterprise systems 2. Develop, optimize, and maintain complex SQL, PLSQL, and T-SQL stored procedures for efficient data processing and transformation 3. Lead data modeling initiatives, translating business requirements into scalable data warehouse solutions and modern data platform architectures 4. Collaborate with cross-functional teams to gather requirements, validate data quality, and deliver actionable insights through advanced data engineering practices 5. Troubleshoot and resolve data-related issues, ensuring high availability, reliability, and performance of ETL workflows 6. Automate data ingestion and transformation tasks using Python, enhancing operational efficiency and reducing manual intervention 7. Monitor and improve ETL performance, proactively identifying bottlenecks and implementing enhancements to achieve optimal throughput 8. Ensure adherence to data governance policies and best practices, maintaining data integrity and security throughout the lifecycle Required Skills: 1. Informatica MDM 2. ETL pipeline development with Informatica 3. Advanced SQL programming 4. Python for data engineering 5. Enterprise data warehousing 6. Data modeling for large-scale systems 7. PLSQL 8. T-SQL 9. Stored procedures development Preferred Skills: 1. Experience with cloud-based ETL tools such as Azure Data Factory or AWS Glue 2. Expertise in master data management platforms beyond Informatica 3. Knowledge of big data technologies such as Spark or Hadoop 4. Familiarity with data governance frameworks 5. Proficiency in performance tuning and optimization of ETL processes Desired Qualifications: 1. Bachelor’s degree in Computer Science, Information Technology, or a related field 2. Relevant certifications in Informatica MDM or ETL technologies Additional Information: Informatica MDM skills are required as a core competency for this role.
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