Engineer/ETL Developer
Engineer/ETL Developer
Steneral Consulting
Richmond, VA
See who Steneral Consulting has hired for this role
Onsite role, must be local and under 60 mins
Need valid LinkedIn
Need 2 managerial references from an end client they have worked for. They need to be a managerial or IT director level. Not a peer or colleague.
Top skills: Talend ETL, Data warehousing and dimensional modeling.
Immediate need for a Data Engineer/ETL Developer to assist with continuous improvement projects across their enterprise applications environment. The ideal candidate will have 5+ years of Talend ETL experience, expertise on Data Warehousing concepts and Data Modeling, and previous SQL experience.
Job Duties & 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 multi-platform 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 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.
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
Required Skills & Experience
Strong understanding of Data warehousing (Dimensional Modeling, ETL etc.) and RDBMS concepts
5+ years working experience with Talend ETL tool
5+ years working experience in SQL, Stored Procedures and Table Design
5+ years working experience in SQL Query optimization and ETL Data loading Performance
2+ years working experience in shell scripting
Experience in real time streaming technologies is preferred, not required
Previous Snowflake Cloud Data Warehouse a big plus, not required
Experience as a Data Engineer in Hadoop Platforms on components like HIVE, KAFKA, NiFi, Spark etc is a big plus, not required
Experience deploying machine learning models and automating processes in production is a plus, not required
Experience with cloud technologies(AWS, Azure, GCP) is big plus, not required
Need valid LinkedIn
Need 2 managerial references from an end client they have worked for. They need to be a managerial or IT director level. Not a peer or colleague.
Top skills: Talend ETL, Data warehousing and dimensional modeling.
Immediate need for a Data Engineer/ETL Developer to assist with continuous improvement projects across their enterprise applications environment. The ideal candidate will have 5+ years of Talend ETL experience, expertise on Data Warehousing concepts and Data Modeling, and previous SQL experience.
Job Duties & 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 multi-platform 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 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.
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
Required Skills & Experience
Strong understanding of Data warehousing (Dimensional Modeling, ETL etc.) and RDBMS concepts
5+ years working experience with Talend ETL tool
5+ years working experience in SQL, Stored Procedures and Table Design
5+ years working experience in SQL Query optimization and ETL Data loading Performance
2+ years working experience in shell scripting
Experience in real time streaming technologies is preferred, not required
Previous Snowflake Cloud Data Warehouse a big plus, not required
Experience as a Data Engineer in Hadoop Platforms on components like HIVE, KAFKA, NiFi, Spark etc is a big plus, not required
Experience deploying machine learning models and automating processes in production is a plus, not required
Experience with cloud technologies(AWS, Azure, GCP) is big plus, not required
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Seniority level
Mid-Senior level -
Employment type
Contract -
Job function
Business Development and Sales -
Industries
Software Development
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