Agivant is seeking a talented and passionate
Senior Data Engineer to join our growing data team. In this role, you will play
a key part in building and scaling our data infrastructure, enabling
data-driven decision-making across the organization. You will be responsible
for designing, developing, and maintaining efficient and reliable data
pipelines for both ELT (Extract, Load, Transform) and ETL (Extract, Transform,
Load) processes.
Responsibilities :develop, and maintain robust and scalable data pipelines for ELT and ETL
processes, ensuring data accuracy, completeness, and timeliness.
with stakeholders to understand data requirements and translate them into
efficient data models and pipelines.
and optimize data pipelines using a variety of technologies, including
Elastic Search, AWS S3, Snowflake, and NFS.
and maintain data warehouse schemas and ETL / ELT processes to support
business intelligence and analytics needs.
data quality checks and monitoring to ensure data integrity and identify
potential issues.
with data scientists and analysts to ensure data accessibility and
usability for various analytical purposes.
current with industry best practices, CI / CD / DevSecFinOps, Scrum and
emerging technologies in data engineering.
to the development and enhancement of our data warehouse architecture
Requirements
Mandatory :degree in Computer Science, Engineering, or a related field.
processes
manipulation and automation.
experience with Elastic Search and its application in data pipelines.
in SQL and experience with data modelling techniques.
understanding of cloud-based data storage solutions such as AWS S3.
working with NFS and other file storage systems.
problem-solving and analytical skills.
communication and collaboration skills.
Senior Data Engineer • Bangor Township, Michigan, United States