Senior Specialist - Data Engineering
Apply now »Date: Mar 14, 2023
Location: Irving, TX, US
Company: LTIMindtree
Job Description:
- Mandatory Certificate: Data modeling Preferred
- Experience 10+ years financial industry expertise with knowledge of corporate affairs, financial and economic fundamentals, and business policies, products, processes, systems and roles.
- 10+ years’ experience in Data Model Governance, Business Architecture and developing Business Process models that spans across Business, Risk and Finance.
- Drive data strategy from design through implementation while acting as a trusted advisor to our clients.
- Lead in consulting way , managing client expectations
- Strong experience in applying industry best practices for Data standardization, Data Cleansing, Data Management, Data Visualization and unified information model across the enterprise spanning multiple systems from legacy Mainframes, cloud enabled systems and digital touchpoints.
- Expertise in RDBMS, Document Stores (NoSQL), Warehouses (e.g. Teradata), Big Data (e.g. Hadoop, Spark, etc.) and Data Visualization (e.g. Tableau), next-gen architecture (SaaS/PaaS/IaaS, Micro Services, Containers, RESTful API’s), Data Analytics, Artificial Intelligence/Machine Learning, ETL (e.g. Abinitio, Talend, SAS, etc.).
- Experience with data modelling tools such as Erwin, metadata tools such as (Collibra, Solidatus, Informatica, Abinitio, etc.), data tracing and lineage automation tools such as ASG and data quality.
What's in it for you?
- Excellent benefits plan: medical, dental, vision, life, FSA, & PTO
- Roll over vacation days
- Commuter benefits
- Excellent growth and advancement opportunities
- Certification reimbursement
- Rewards and recognition programs
- Innovative and collaborative company culture
“LTI values diversity and inclusion and is committed to the principles of Equal Employment Opportunity EOE/Minority/Female/Veteran/Disabled/Sexual Orientation/Gender Identity.”
Nearest Major Market: Irving
Nearest Secondary Market: Dallas
Job Segment:
Developer, Data Warehouse, Database, Business Intelligence, Consulting, Technology