Senior Specialist - Data Engineering

LTM; Location (WV); On-site; USD 90,000 - 150,000; Full time

Benefits offered by this job

Comprehensive Medical Plan

401(k) Plan with Company match

Paid Paternity and Maternity Leave

Short Term and Long-Term Disability Coverage

Job summary

A leading technology company seeks a skilled Data Engineer in West Virginia. Candidates should have at least 5 years of experience in ETL processes, particularly with Talend, and strong SQL skills. Responsibilities include designing reliable ETL solutions, ensuring compliance with security standards, and collaborating with teams for effective data insights. Comprehensive benefits include medical plans, 401(k), and paid leave. This role supports critical business functions and may require weekend work.

Qualifications

• Minimum 5 years working experience with Talend ETL tool.
• Minimum 5 years working experience in SQL Stored Procedures and Table Design.
• Experience as a Data Engineer in Hadoop Platforms is a big plus.
• Minimum 5 years working experience in SQL Query optimization and ETL Data loading Performance.
• Minimum 2 years working experience in Snowflake Cloud Data warehouse.
• Experience as a Data Engineer in Hadoop Platforms on components like HIVE, KAFKA, NiFi, Spark etc is a big plus.
• Minimum 2 years working experience in shell scripting.
• Experience in real time streaming technologies is preferred.
• Experience deploying machine learning models and automating processes in production is a plus.
• Experience with cloud technologies (AWS, Azure, GCP) is a big plus.

Responsibilities

• Design and maintain ETL solutions for critical business processes.
• Ensure compliance with enterprise security standards.
• Develop and validate data flows to meet business requirements.
• Develop and test data flows and ETL processes for complex requirements, including end‑to‑end BI solutions.
• Coordinate with analysts and developers to meet support standards before migration to production.
• Collaborate with infrastructure teams to design transformations providing business insights.
• Optimize data warehouse and big data environments to improve query performance.
• Capture metadata and rules for ETL processes.
• Assist production support with Issue resolution and performance tuning.
• ETL development may require weekend or off‑hours work.

Skills

Data warehousing

SQL Query optimization

ETL processes

Snowflake Cloud Data warehouse

Shell scripting

Cloud technologies

Shell scripting

Hadoop ecosystem (Hive, Kafka, NiFi,-S

Tools

Talend ETL

Hadoop

AWS

Azure

GCP

Spark

AWS

Azure

GCP

Job description

Data Engineer

Qualifications

• Strong understanding of Data warehousing, Dimensional Modeling, ETL etc and RDBMS concepts
• Minimum 5 years working experience with Talend ETL tool
• Minimum 5 years working experience in SQL Stored Procedures and Table Design
• Minimum 5 years working experience in SQL Query optimization and ETL Data loading Performance
• Minimum 2 years working experience in Snowflake Cloud Data warehouse
• Experience as a Data Engineer in Hadoop Platforms on components like HIVE, KAFKA, NiFi, Spark etc is a big plus
• Minimum 2 years working experience in shell scripting
• Experience in real time streaming technologies is preferred
• Experience deploying machine learning models and automating processes in production is a plus
• Experience with cloud technologies (AWS, Azure, GCP) is a big plus

Responsibilities

• Design, develop and maintain secure, consistent and reliable ETL solutions supporting critical business processes across the various Business Units
• Ensure data solutions are compliant with enterprise security standards
• Work in complex multiplatform environments on multiple project assignments
• Develop and perform tests, validate data flows and prepare ETL processes to meet complex business requirements, including designing and implementing complex end‑to‑end solutions using BI platforms
• Coordinate with analysts and developers to ensure jobs designed and developed meet minimum support standards and best practices before migration into the production environment
• Partner 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
• Use strategies such as indexing and partitioning to fine‑tune the data warehouse and big data environments to improve query response time and scalability
• Define and capture metadata and rules associated with ETL processes
• Assist production support team in providing resolutions to production job failures, data issues and performance tuning

ETL Development and Process Support may require weekend or off‑business hours work.

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.

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.