Associate Principal - Data Engineering

Key Skills

Data Lake, Data Modeling, Dimensional Modelling, Docker, ETL frameworks, NoSQL, RDBMS, SQL

Job Description

• The data modeler designs, implements, and documents data architecture and data modeling solutions, which include the use of relational, dimensional, and NoSQL databases.
• These solutions support enterprise information management, business intelligence, machine learning, data science, and other business interests.
• Following directives from business leaders, your focus may be reducing data redundancy, improving data migration, or facilitating data retrieval.
• Collaboration with data architects and other data modelers is a regular aspect of your job as the team works to create physical, logical, and conceptual data models that help achieve business objectives.
• Your ability to translate raw data into actionable information is of great value to large corporations.
• Be responsible for the development of the conceptual, logical, and physical data models, the implementation of RDBMS, operational data store (ODS), data marts, and data lakes on target platforms (SQL/NoSQL).
• Oversee and govern the expansion of existing data architecture and the optimization of data query performance via best practices. The candidate must be able to work independently and collaboratively.

Responsibilities:

• Implement business and IT data requirements through new data strategies and designs across all data platforms (relational, dimensional, and NoSQL) and data tools (reporting, visualization, analytics, and machine learning).
• Work with business and application/solution teams to implement data strategies, build data flows, and develop conceptual/logical/physical data models
• Define and govern data modeling and design standards, tools, best practices, and related development for enterprise data models.
• Identify the architecture, infrastructure, and interfaces to data sources, tools supporting automated data loads, security concerns, analytic models, and data visualization.
• Hands-on modeling, design, configuration, installation, performance tuning, and sandbox POC.
• Work proactively and independently to address project requirements and articulate issues/challenges to reduce project delivery risks

Required Skills:

• Bachelor’s or master’s degree in computer/data science technical or related experience.
• 10+ years of hands-on relational, dimensional, and/or analytic experience (using RDBMS, dimensional, NoSQL data platform technologies, and ETL and data ingestion protocols).
• Experience with data warehouse, data lake, and enterprise big data platforms in multi-data-center contexts required.
• Good knowledge of metadata management, data modeling, and related tools ( ER Studio or others) required.
• Experience in team management, communication, and presentation.

How will you grow:

• Role-based Training programs
• Continuing Education Programs (CEP) to enhance your knowledge, skills, and attitude as a professional
• We encourage you to acquire various beneficial international certifications, with costs s reimbursed
• Our role-based workshop helps us groom future leaders for LTI

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

LTIMindtree is an equal opportunity employer that is committed to diversity in the workplace. Our employment decisions are made without regard to race, color, creed, religion, sex (including pregnancy, childbirth or related medical conditions), gender identity or expression, national origin, ancestry, age, family-care status, veteran status, marital status, civil union status, domestic partnership status, military service, handicap or disability or history of handicap or disability, genetic information, atypical hereditary cellular or blood trait, union affiliation, affectional or sexual orientation or preference, or any other characteristic protected by applicable federal, state, or local law, except where such considerations are bona fide occupational qualifications permitted by law.

Nearest Major Market: Houston

Job Segment: Database, Machinist, Business Intelligence, Data Center, Data Warehouse, Technology, Manufacturing