Title: ETL Developer with Talend - Hybrid
Location: Ann Arbor, MI, USA
Length: Long term
Restriction: W2 or C2C

Description:

Webcam interview; *** Long term project *** Hybrid

Job Description:

Summary:

The Specialist Data Operations is accountable for the design and operations of Enterprise Information Managements Data Operations. This individual will also coordinate technical resources throughout the lifecycle of information investigation and data management. Secondary responsibilities include creation and maintenance of runbooks, team managed products and assisting in delivery activities.

GENERAL RESPONSIBILITIES

Manages operations of data ingest processes and ensuring quality of inbound data from various sources.
Investigates, resolves, communicates, and documents job failures/errors. Completes impact assessment and communicates to stakeholders.
Recommends technical solution to handle process failures.
Performs new setups and setup updates for existing integrations for customers and carriers.
Assists with new implementation testing and troubleshooting.
Assists as needed with new integration projects.
Work closely with Business Analysts, Data Analysts/Scientists, Development, and Product Owners to ensure data housed in multiple source systems is coming in on timely basis, is valid and accurate.
Monitor scheduled jobs and improve reliability of ongoing processing.
Act as translator between business and technical community interpreting data domain needs and translating them into more technical quality assessment rules for developers (and vice-versa).
Agile testing knowledge is a plus.
EXPERIENCE and QUALIFICATIONS

Bachelors degree with at least 3 years experience in large scale system implementation efforts following a standard software development lifecycle approach (Scrum desired)
At least 2 years of experience with Talend is a must.
At least 5 years experience in ETL Development / Data Integration.
Solid understanding of Relational database concepts and data processing concepts
Experience with Software development lifecycle including agile methodology
Hands-on experience with ANSI SQL (MUST), Java, and shell scripting
Familiar with XML, JSON
Experience with business and technical requirements analysis, data modeling/mapping, and quality assurance frameworks
Strong oral and written communications skills
Ability to create systematic and manual data ingest monitoring and quality operations procedures in both technical and user-friendly language
Demonstrated effectiveness in a fast-paced rapidly changing environment
Ability to be able to provide off hours and weekend on-call support
Cloud (Azure preferred) with Databricks is required.
Strong Communication