Talend Data Engineer

LTIMindtree • Richmond, VA

47d • Onsite

About The Position

Talend Data Engineer Talend Data Engineer Talend Data Engineer< Richmond VA Onsite < 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 Richmond - Virginia - USA8 - 12 Years10H27-Oct-2025YACTIVE1413337 Mandatory Skills : Java,ANSI-SQL,Qlik Talend - Studio,Dimensional Data Modeling,Talend Data Fabric

Requirements

• 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 5 years working experience in Snowflake Cloud Data warehouse
• Minimum 2 years working experience in shell scripting
• Java
• ANSI-SQL
• Qlik Talend - Studio
• Dimensional Data Modeling
• Talend Data Fabric

Nice To Haves

• Experience as a Data Engineer in Hadoop Platforms on components like HIVE KAFKA NiFi Spark etc is a big plus
• Experience in real time streaming technologies is preferred
• Experience deploying machine learning models and automating processes in production is a plus
• Experience with cloud technologiesAWS Azure GCP is 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 and validate data flows and prepare ETL processes to meet complex business requirements including designing and implementing of complex endtoend 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
• Uses strategies such as Indexing and partitioning to fine tune the data warehouse and big data environments to improve the 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

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Industry: Professional, Scientific, and Technical Services
• Education Level: No Education Listed