Pyspark Architect


LTIMindtree Limited is an Indian multinational information technology services and consulting company. A subsidiary of Larsen & Toubro, the company was incorporated in 1996 and employs more than 90,000 people.

Job Description

1. 15+ experience in Big Data, special emphasis on Data Architecture and Data Engineer with Expertise in Data governance principles, Data security, Data Analysis, ETL Design/Development and Hadoop Ecosystem build.
Developing and implementing an overall organizational data strategy that is in line with business processes.

2. The strategy includes data model designs, database development standards, implementation and management of data warehouses and data analytics systems.

3. Oversee and monitor data quality of all frameworks to manage data across the data platform.

4. Design conceptual and logical data models and flowcharts in defining data requirements and designing databases to satisfy business objectives.

5. Help Project team to develop and implement standards, procedures and best practices for data modelling and ETL standards.

6. Experience in Leading Hadoop Administration and ETL.

7. Proficient in end-to-end Data projects delivery starting from requirement gathering, data analysis, data modelling, data integration, data quality analysis, ETL designs and designing reporting data models.

8. Good in communication and client interaction skills.

Skills & Requirements

Big Data (15+ years of experience). Data Architecture. Data Engineering. Data Governance Principles. Data Security. Data Analysis. ETL Design and Development. Hadoop Ecosystem Build. Organizational Data Strategy Development. Data Model Design. Database Development Standards. Data Warehouse Implementation and Management. Data Analytics Systems Implementation. Data Quality Management. Conceptual and Logical Data Modeling. Flowchart Design for Data Requirements. Database Design for Business Objectives. Standards and Procedures Development. Best Practices for Data Modeling. ETL Standards. Hadoop Administration. End-to-End Data Project Delivery. Requirement Gathering. Data Integration. Data Quality Analysis. Reporting Data Model Design. Communication Skills. Client Interaction Skills.