Data Engineer

4 days ago

Glen Allen, Virginia, United States Saxon Global Full time
Job Summary

This position is responsible for designing, developing, and managing data workflows and pipelines in our Integrated Data and Analytics environment. The role is a blend of technical leadership, team leadership, and hands-on development.

Key Responsibilities

Collect, move, store, and prepare data for analytics enablement.
Participate in project planning sessions, working closely with business analysts and team members to analyze requirements and provide design recommendations for complex systems.
Design and develop new data pipelines for ingesting high-volume data sets.
Develop pipelines using disciplined processes, adhering to industry standards and best practices, including complete ease with agile development methods throughout the SDLC.
Demonstrate processes to all stakeholders.
Share knowledge and provide technical guidance to other team members within area of expertise.
Take part in reviews of work, e.g. design and code reviews.
Work with team members to analyze and understand problems with complex systems and resolve them.
Resolve customer complaints and respond with suggestions for improvements and enhancements.

Requirements

Bachelor's degree in a related field. Relevant combination of education and experience may be considered in lieu of degree. Continuous learning, as defined by the Company's learning philosophy, is required. Certification or progress toward certification is highly preferred and encouraged.

Experience

2 years' experience in application development.
At least five years of experience in Azure big data services/technologies (Spark, Scala, Azure Data Factory, Azure Data Bricks, Synapse Analytics).

Skills and Knowledge

Deep knowledge of SQL/TSQL and Python/PySpark.
Strong understanding of Azure Big Data Services such as Azure Data Lake Storage, Azure Data Factory, Logic Apps, Azure Functions.
Knowledge of AWS cloud and AWS services such as S3 buckets, Lambda, API Gateway.
Experience with Databricks and Delta Lake.
Experience with RDBMS (Oracle 10g/11g, MS SQL), including database design, developing stored procedures and functions, and performance tuning. Working experiences with No-SQL databases.
Strong background in traditional ETL tools (SSIS, Informatica).
Understanding of Reporting and Data Visualization tools (PowerBI, Tableau, SSRS).
Agile software process.
Strong coding skills (Python, R, Scala, Java, C++, C#).
Working experiences of test-driven development framework.
Excellent inter-personal and communication skills.
Ability to multi-task in a fast-paced environment.
Flexibility to adapt to changing business needs.
Team player who is delivery-oriented and takes responsibility for the team's success.
Enthusiastic, can-do attitude with the drive to continually learn and improve.
Highly self-motivated, creative and able to dive deep in problem solving.

Preferred Skills

Python PySpark/Spark DataBricks any cloud experience - Azure, AWS, GCP, etc. any ETL experience - SSIS, Informatica, DataStage, etc.

Additional Requirements

Candidate must be your W2 Employee :Yes

Project Verification Info

Candidate must be your W2 Employee :Yes

Exclusive to Apex

Yes

Candidate must be local

No

Candidate must be authorized to work without sponsorship

No

Interview times set

Yes

Type of project

Development/Engineering

Master Job Title

Dev: .NET

Branch Code

Richmond

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