Day to day responsibilities: This position needs to perform a lead data engineer role to manage the design, development and maintenance of data applications including “Flexcube Upgrade” initiative.
Design – Data pipeline design, development and maintenance.
Quality – Data quality integrity, security and integration testing.
Maintenance – Troubleshooting to identify and resolve issues with data applications
Mentoring – Guide and mentor data engineers both onsite and offshore
Solutions – Driving guidelines for data engineering workflows – collection, ingestion, cleansing, storage and serving
Learning – Learn new technologies and open to work on legacy data warehouse application tools and technologies
Data Modeling – Dimensional modeling design to optimize storage and data access for analytical purpose.
SQL – Expertise in complex SQL queries to extract, transform and load data.
Data Warehouse – Data warehouse design, architecture and optimization techniques for large datasets.
ETL – Desing and implement Extract, Transform, Load pipelines to prepare data for analysis
Testing – Testing the data pipelines, ensuring the quality and reliability of data flowing through the system, mentoring test engineers in building comprehensive test strategies.
Collaborate with stakeholders to understand their data needs and develop appropriate data solutions.
Conduct UAT and end user training.
SAP BODS, IICS, DataStage, Oracle, Netezza, Python & Redwood
SAP BODS, Oracle, PLSQL, Snowflake, AWS Services like S3, Glue, Lambda, DynamoDB, Redshift
TSG is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
72003
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