Senior Specialist - Data Engineering

About Us:

LTIMindtree is a global technology consulting and digital solutions company that enables enterprises across industries to reimagine business models, accelerate innovation, and maximize growth by harnessing digital technologies. As a digital transformation partner to more than 700+ clients, LTIMindtree brings extensive domain and technology expertise to help drive superior competitive differentiation, customer experiences, and business outcomes in a converging world. Powered by nearly 90,000 talented and entrepreneurial professionals across more than 30 countries, LTIMindtree — a Larsen & Toubro Group company — combines the industry-acclaimed strengths of erstwhile Larsen and Toubro Infotech and Mindtree in solving the most complex business challenges and delivering transformation at scale. For more information, please visit www.ltimindtree.com.

 Job Title: Senior Specialist - Data Engineering

 Work Location:  Phoenix, AZ

Job Description:

 • Expert level ETL pipelines Development experience preferably in SAP Data Services(Business Objects Data Services) for data extraction, data curation, writing data into various targets.

• Expert level experience in performance tuning complex SQL queries.

• Expert level experience in performance tuning complex Data Pipelines.

• Job scheduling/orchestration tool experience preferably in Redwood Scheduler.

• Experience using Source/version control preferably Gitlab.

• Experience in building Data Pipelines using Python is a plus.

Skills

• SQL, Oracle DB or similar, SAP Data Services(Business Objects Data Services), Redwood Scheduler or similar, Python, Gitlab or similar version control

Project Specifications and Description of Services:

• Performance tuning of complex SQL queries.

• Performance tuning of complex data pipelines.

• Create data ingestion pipelines in data warehouse and other large scale data platforms.

• Create Data Ingestion pipeline for variety of sources – File (Flat, delimited, Excel), DB, API (With Apigee integration) and SharePoint.

• Creating scheduled as well as trigger-based ingestion patterns using Redwood scheduler.

• Build reusable Data Pipelines/frameworks using Python.

• Working with Product Owners to understand PI goals, PI planning, requirement clarification, and delivery co-ordination.

• Working with Team (Technical and delivery) to deploy & validate team deliverables, PI planning, JIRA creation and management, release planning and execution, CR creation and other release readiness activities.

• Working in Agile Framework, participating in various agile ceremonies, co-ordination with scrum master, tech lead and PO on sprint planning, backlog creation, refinement, demo, and retrospection.

• Ensuring proper availability of the services.

• Suggesting new technology as applicable.

• Technical support of incident tickets escalated to the team.

Benefits/perks listed below may vary depending on the nature of your employment with LTIMindtree (“LTIM”):

Benefits and Perks:

• Comprehensive Medical Plan Covering Medical, Dental, Vision
• Short Term and Long-Term Disability Coverage
• 401(k) Plan with Company match
• Life Insurance
• Vacation Time, Sick Leave, Paid Holidays
• Paid Paternity and Maternity Leave

 The range displayed on each job posting reflects the minimum and maximum salary target for the position across all US locations. Within the range, individual pay is determined by work location and job level and additional factors including job-related skills, experience, and relevant education or training.  Depending on the position offered, other forms of compensation may be provided as part of overall compensation like an annual performance-based bonus, sales incentive pay and other forms of bonus or variable compensation.

Disclaimer: The compensation and benefits information provided herein is accurate as of the date of this posting.

 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 qualifica