Project Role : Data Engineer
Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems.
Must have skills : Teradata BI
Good to have skills : NA
Minimum 5 year(s) of experience is required
Educational Qualification : 15 years full time education

Summary: As a Data Engineer, you will design, develop, and maintain data solutions for data generation, collection, and processing. Your typical day will involve creating data pipelines, ensuring data quality, and implementing ETL processes to migrate and deploy data across systems. You will play a crucial role in managing and optimizing data infrastructure to support the organization's data needs. Roles & Responsibilities: Role: Data Platform Engineer Assists with the data platform blueprint and design, encompassing the relevant data platform components. Collaborates with the Integration Architects and Data Architects to ensure cohesive integration between systems and data models. Key Responsibilities: 1 Gather client requirements and translate the same into system requirements. 2 Lead effort to design, build and configure applications. 3 Drive discussions with clients to understand business problems, how Teradata Vantage fits in implementation and solutioning. 4 Develop the solution blueprint and scoping, estimation, staffing for delivery project. 5 Drive Discovery activities, design workshops with client,lead strategic road mapping and operating model design discussions. Technical Experience: 1 Hands on with Teradata Sql, stored procedure, Functions, utilities like Bteq, Fast Load, Multi Load, TPT 2 Working exposure on dataware housing concepts like SCD and CDC 3 Good SQL skills, including use of derived tables, unions, multitable,joins,Indexes etc. 4 Exp in UNIX shell scripts to write wrapper scripts to call ETL Jobs Professional Attributes:1 Strong requirement analysis and technical solutioning skill in Data and Analytics 2 Excellent writing, communication, and presentation skills 3 Eagerness to learn and develop self on an ongoing basis 4 Excellent client facing and interpersonal skills Additional Info: Knowledge of Teradata Architecture, on performance tuning and best practices Good verbal and written communication skill

15 years full time education

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