Data Engineer
Company: Ampcus Incorporated
Location: Richmond
Posted on: May 28, 2023
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Job Description:
Qualifications
1. Strong understanding of Data warehousing (Dimensional Modeling,
ETL etc.) and RDBMS concepts
2. Minimum 5 years working experience with ETL tools such as
Talend, Informatica, Data Stage etc
3. Minimum 5 years working experience in SQL, Stored Procedures and
Table Design
4. Minimum 5 years working experience in SQL Query optimization and
ETL Data loading Performance
5. Minimum 2 years working experience as Data Engineer in Hadoop
Platforms on components like HIVE, KAFKA, NiFi, Spark etc.
6. Minimum 2 years working experience in shell scripting
7. Experience in Snowflake cloud technologies is preferred
8. Experience in real time streaming technologies is preferred
9. Experience deploying machine learning models and automating
processes in production is a plus
10. Experience with cloud technologies (AWS, Azure, GCP) is big
plus
Responsibilities
As a core member of team of Data Engineers/ETL Developers,
responsibilities include but not limited to
1. Design, Develop and maintain secure, consistent and reliable ETL
solutions supporting critical business processes across the various
Business Units.
2. Ensure data solutions are compliant with enterprise security
standards
3. Work in complex multi-platform environments on multiple project
assignments.
4. 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.
5. Coordinate with analysts and developers to ensure jobs designed
and developed meet minimum support standards and best practices
before migration into the production environment.
6. 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.
7. 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.
8. Define and capture metadata and rules associated with ETL
processes.
9. Assist production support team in providing resolutions to
production job failures, data issues and performance tuning
ETL Development and Process Support, may require weekend/off
business hours work.
Keywords: Ampcus Incorporated, Richmond , Data Engineer, Engineering , Richmond, Virginia
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