Data Integration Lead Analyst

Face to Face interview is a must

Key Responsibilities:

•       Work with business/data product team to translate given business problem into analytical solution with defined outcomes.
•       Analyze the data in depth, informatica MFT, using SQLs and other exploratory tools against various platforms such as Bigdata, Oracle, SQL Server and others.
•       Convert business requirements to functional requirements, with detailed transformation rules for ETL team. This is a very technical hands-on role and mandatory to have Informatica MFT, DBT and snowflake
•       Work closely with the ETL and data science teams to review the requirements and data integrations.
•       Understand the requirements from Business and Data Science. Understand the business and business impact on use cases.
•       Write validation scripts to validate the data loaded by ETL team an assess using MFT / DBT.
•       Work with IT and business customers to develop and design requirements to formulate technical design. 
•       Skills to understand the right functional domain knowledge of the business to be able to gather right requirements for the design.
•       Capture meta data, data lineage, reference data management and data quality rules as part of data governance.
•       Work with team spread across the globe in driving the delivery of projects.


Required Skills/Knowledge:
•       Bachelor’s degree in computer science, Engineering, or related discipline.
•       8+ years of solutions development / analysis experience, including 5+ years in data management/engineering organization.
•       Proficient understanding of distributed computing principles and informatica Scripts / MFT
•       Extensive experience in data analysis and data modeling (table design).
•       Proficiency in SQLs and data exploratory tools.
•       Extensive experience writing functional requirements and high-level design documents.
•       Experience in writing validation scripts to validate the data, data integrations and ETL transformations.
•       Analytical skills to analyze situations and come to optimal and efficient solution based on requirements.
•       Strong data analysis and profiling skills.
•       Data warehouse concepts.
•       Strong analytical skills related to working with unstructured datasets.
•       SQL knowledge and data analysis skills for data anomaly detection and data quality assurance.
•       Excellent communication skills, both written and verbal


Preferred:
•       Experience working on MFT and DBT skills and should posses cloud knowledge.
•       Strong background or working experience in Insurance Industry as a Lead analyst.
•       Ability to interact with senior leadership teams in IT and business raise the required defect and track project end to using manual or automation design creation.
•       Should have good SQL knowledge/ AWS and snowflake.
•       Should be good in Agile methodologies and SDLC process.