Overview
On Site
Depends on Experience
Contract - Independent
Contract - W2
Contract - 1 Year(s)
Skills
ETL
SQL
JAVA
DataStage
DBT
Python
Databases
Job Details
Data Engineer
Contract to Hire
Location: Cincinnati , OH Need Local
Direct Client
TECHNICAL SKILLS
Must Have
- In depth understanding of commonly used Databases
- Data Warehousing concepts
- ETL technologies ( DataStage, dbt)
- Knowledge of SQL
- Proficiency in at least one programming language (Python, Java, etc.)
JOB DESCRIPTION
A junior data engineer is an entry-level (0-18 months of experience) data professional who is responsible for designing, building, and maintaining data pipelines and systems.
They work closely with Product Owners and data analyst and business stakeholders to ensure that data is easily accessible and of high quality.
Junior data engineers typically have less experience than data engineers and are expected to work under the guidance of experienced engineers.
Job Summary
- We are seeking a highly motivated and detail-oriented Entry Level Data Engineer to join our dynamic team.
- The successful candidate will assist in gathering requirements, curating data elements and documenting data lineage in specified data repositories within the bank.
- This entry-level position offers an excellent opportunity to gain hands-on experience in the field of data engineering and work closely with experienced professionals.
Duties and Responsibilities:
- Curating data elements and documenting data lineage
- Managing data storage and ensuring data quality
- Building and maintaining data pipelines and ETL processes moving data between different cloud-based platforms and on-premises data sources
- Working with Product Owners and Analysts to understand business requirements and provide data solutions
- Writing scripts and code to automate data processes
- Develop and maintain data models and transformation logic using DBT in a cloud or on-prem data environment.
- Participate in Agile ceremonies and contribute to sprint planning and reviews.
Requirements and Qualifications:
- Strong problem-solving and communication skills
- Proficiency in at least one programming language (Python, Java, etc.) in depth understanding of commonly used Databases, Data Warehousing concepts, and ETL technologies ( DataStage, dbt)
- Knowledge of SQL
- Understanding of big data technologies (Curation, Data Lineage, Data Mesh, etc.) Experience with cloud platforms (Snowflake, AWS etc.)
- Eagerness to learn and grow in a collaborative environment.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.