Data Engineer

Overview

On Site
Full Time
Part Time
Accepts corp to corp applications
Contract - Independent
Contract - W2

Skills

Software Design
Extraction
Database
Research and Development
Documentation
Flowchart
Systems Analysis
Policies and Procedures
Requirements Elicitation
Computer Science
SQL
RDBMS
Microsoft
Oracle
SAP HANA
PostgreSQL
Data Warehouse
Amazon Redshift
Informatica
Data Engineering
Sourcing
Data Modeling
Data Integration
Extract
Transform
Load
Reporting
Business Intelligence
Analytics
Python
C#
JavaScript
Cloud Computing
Amazon Web Services
Microsoft Azure
Google Cloud Platform
Google Cloud
Docker
Kubernetes
Orchestration
SANS
Emerging Technologies

Job Details

Hiring: W2 Candidates Only



Visa: Open to any visa type with valid work authorization in the USA



Level: Mid to Lead positions



Essential Duties/Responsibilities:



- Work closely with the solution leads, project managers, data architects, data scientists, and data analysts on solution design, architecture, and implementation

- Performing extraction, transformation, and loading of data from a wide variety of data sources using various data engineering tools and methods.

- Designing and implementing data solutions for operational and secure integration across systems.

- Assist, with guidance and oversight from data architects, in creating database models and architecture design and documentation

- Conduct research and development as well as contribute to the long-term positioning of and emerging technologies related to data sourcing, cleansing, and integration

- Documenting and demonstrating solutions by developing documentation, flowcharts, layouts, diagrams, charts, code comments and clear code.

- Improving operations by conducting systems analysis; recommending changes in policies and procedures.

- Involvement requirements gathering, solution reviews, and explaining technical complexities and business benefits in layperson terms.



Job Requirements:



- Bachelor's degree in Computer Science, Engineering or a similar field is required

- 7+ years of data engineering, software engineer, or similar experience

- 5+ hands-on industry experience working with SQL on various relational database platforms (Microsoft, Oracle, Hana, Postgres, etc.)

- 2+ hands-on industry experience working with enterprise ETL/DW tools like Azure Data Factory, Redshift, Informatica, etc.

- Hands-on experience with aspects of data engineering design and implementation including data sourcing, data modeling of warehouses/marts/repositories, data integration/transformation/ETL, APIs, reporting, business intelligence and analytics

- Hands-on experience with modern programing languages like Python, C#, JavaScript, etc.

- Hands-on experience with cloud platforms like AWS, Azure, Google Cloud Platform, etc.

- Experience with Docker for containerization and Kubernetes for orchestration a plus

- Collaborative team player who is detailed oriented, focused on solution quality and execution

- Progressive mindset particularly around deployment models and emerging technologies


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