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Senior Specialist - Data Engineering

Location, West Virginia, United StatesOnsiteFull TimeSenior$100,000–$110,000 /yrPosted 1 month ago

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Role description

Data Engineer

Qualifications

1Strong understanding of Data warehousing Dimensional Modeling ETL etc and RDBMS concepts

2 Minimum 5 years working experience with Talend ETL tool

3Minimum 5 years working experience in SQL Stored Procedures and Table Design

4Minimum 5 years working experience in SQL Query optimization and ETL Data loading Performance

5Minimum 2 years working experience in Snowflake Cloud Data warehouse

6Experience as a Data Engineer in Hadoop Platforms on components like HIVE KAFKA NiFi Spark etc is a big plus

7Minimum 2 years working experience in shell scripting

8Experience in real time streaming technologies is preferred

9Experience deploying machine learning models and automating processes in production is a plus

10Experience with cloud technologiesAWS Azure GCP is big plus

Responsibilities

As a core member of team of Data EngineersETL Developers responsibilities include but not limited to

1Design Develop and maintain secure consistent and reliable ETL solutions supporting critical business processes across the various Business Units

2Ensure data solutions are compliant with enterprise security standards

3Work in complex multiplatform environments on multiple project assignments

4Develop and perform tests and validate data flows and prepare ETL processes to meet complex business requirements including designing and implementing of complex endtoend solutions using BI platforms

5Coordinate with analysts and developers to ensure jobs designed and developed meet minimum support standards and best practices before migration into the production environment

6Partner with various infrastructure teams application teams and architects to generate process designs and complex transformations to various data elements to provide the Business with insights into their business processes

7Uses strategies such as Indexing and partitioning to fine tune the data warehouse and big data environments to improve the query response time and scalability

8Define and capture metadata and rules associated with ETL processes

9Assist production support team in providing resolutions to production job failures data issues and performance tuning

ETL Development and Process Support may require weekendoff business hours work

Other details

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 qualifications permitted by law.

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