Data Engineer Big Data Warehouse

  • Posted 11 days ago | Updated 11 days ago

Overview

Remote
$55 - $60
Contract - W2
Contract - 6 Month(s)
No Travel Required

Skills

Databricks
Pyspark
Spark
Spark Cluster
Big Data
Data Warehouse
DataFrames
Talend

Job Details

Please Submit your top candidate who is matching with the JD, they aren t looking for an Architect but instead need Sr, Big Data Warehouse Engineers.

Architect III --- **Actual title : Data Engineer Big Data Warehouse

Type: W2 or with(Max 3-page resume allowed)

Location: 100% Remote

Duration: 6 Months

Additional Skills Required: Databricks, Pyspark, Spark, Spark Cluster Configuration

We're seeking a hands-on Data Engineer that can design, code and provide Big Data Warehouse solutions for the team. The right candidate for this role is passionate about technology, can interact with product owners and technical stakeholders, thrives under pressure, and is hyper-focused on delivering exceptional results with good teamwork skills. The candidate will have the opportunity to influence and interact with fellow technologists beyond his team and influence technology partners across the enterprise.

Responsibilities

Design and Develop scalable Big Data Warehouse solutions across the entire data supply chain.

Create or implement solutions for metadata management.

Create and review technical and user-focused documentation for data solutions (data models, data dictionaries, business glossaries, process and data flows, architecture diagrams, etc.).

Extend and enhance the business Data Lake

Solve for complex data integrations across multiple systems.

Design and execute strategies for real-time data analysis and decisioning.

Collaborate with management, business partners, analysts, developers, architects, and engineers to support data quality efforts.

Work closely with the Data Science team to improve actionable data

Be open and willing to learn new skills!

Experience

In data management, data access (Big Data, traditional Data Marts and Data Warehousing).

SQL (including Spark SQL and DataFrames) * Current data warehousing design concepts for utilizing Redshift, Spark, Hadoop, web services, etc to support business-driven decisioning

In data architecture and data assembly

In Data Governance and Data Security

with data integration tools (e.g., Talend (preferred), Cascading)

with data manipulation scripting languages

with Business Intelligence, MDM, XML, SOA/WebServices

with Data Science toolsets and technology

Bachelor s or Master s degree in computer science/data processing or equivalent

experience in Data Warehousing or similar analytic data experience

of experience with Java programming and developing frameworks

experience with Hadoop and Spark

experience with Amazon EMR/EC2 (or equivalent)

2+ years experience with Python

Experience with Bitbucket and a solid understanding of core concepts with Git

Familiarity with Linux

Familiarity with Jenkins and CI/CD

A solid understanding of basic core computer science concepts

Experience with AWS technologies such as Aurora, Athena, EMR, Redshift, S3

Experience with Postgres and MySql

Excellent Organizational and Project Management skills

Outstanding communication skills

We require the following ON ALL SUBMITS

Right to Represent

Government Issued ID

LinkedIn Profile link

Include Two References

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