192047 - Snr Data Engineer
Industry
ENG
Region
Remote Work
City
Carlsbad
State
CA - REMOTE
Rate
Up to $82.52 DOE
Duration
Description

Chipton-Ross is seeking a Snr Data Engineer for an opening in Carlsbad, CA.

SUMMARY:
Our client is looking for a full-time Sr. Data Engineer in our Life Sciences Solutions Group. This remote, non-IT role is part of a global team of business analysts that contribute to the overall growth of our Global Services and Support organization supporting the business intelligence strategy and related initiatives that deliver comprehensive, actionable data reporting and analysis.

Your strategic responsibilities will include building and expanding key foundational capabilities in Customer Support and Service delivery functions by building, enhancing, and supporting data ingestion pipelines, delta lakes and data warehouses across variety of infrastructure (both on-prim and cloud).

RESPONSIBILITIES:
Collaborating with infrastructure and IT team to design, create and maintain optimal data pipeline architecture and data structures for Enterprise Data Platform
Assemble and consolidate complex data sets from business and reporting systems such as SAP, Salesforce, E1, Genesys, Cloud for Service, Business Objects, Cognos/EDW. Automating manual data acquisition processes and optimize data delivery. Data integration in Apache Spark-based platform to ensure the technology solutions leverage cutting edge integration capabilities. Developing customized SQL queries for database solutions & business ad hoc requests. Data integration, data integrity to improve data fidelity for real time analytics. Navigating and working independently in a large enterprise and distributed set up.

REQUIREMENTS:
5+ years of experience in data integration and pipeline development. Experience in Databricks Delta lake and data lake. 5+ years SQL experience - Extensive knowledge and vast experience with SQL Queries (various joins, correlated subqueries, knowledge of recursive queries) 2+ years of experience with AWS Cloud on data integration with S3, Redshift, Athena ecosystem. 5+ years of experience in Python development and common Python libraries. A successful history of manipulating, processing and extracting value from large disconnected datasets. Experience performing root cause analysis on data to answer specific business questions and identify opportunities for improvement. Experience in effectively presenting and summarizing complex data to diverse audiences through visualizations and other means. Excellent verbal and written communications skills and strong leadership capabilities. High energy level with ability to embrace and model the client's values of Integrity, Intensity, Innovation and Involvement. Experience in Life Science and or Service organization. Experience with Data mining, Data science and Predictive analytics. Experience working with visualization tool such as Microsoft Power BI.

EDUCATION:
Accredited A bachelor or master’s degree in Computer Science or related areas.

WORK HOURS:
Full-Time

Remote - West Coast candidate Or candiate willing to work West Coast hours.

Employment will be contingent on clearing a drug screen and background check. Both must clear prior to start date.

Contact
Brenda Ordaz
bordaz@chiptonross.com
CHIPTON-ROSS, INC.
420 Culver Boulevard
Playa Del Rey, CA 90293

Phone: (310) 414-7800 x284 or (800) 927-9318 x284

Candidates responding to this posting must currently possess the eligibility to work in the United States. No third parties please.

Employment will be contingent on candidate clearing pre-employment drug screen and background check.

Chipton-Ross provides equal employment opportunities to all employees and applicants for employment without regard to race, color, creed, religion, national origin, sex (including pregnancy), age, disability, sexual orientation, gender identity and/or expression, protected veteran status, genetic information, or any other characteristic protected by Federal, State or local law. This policy governs all areas of employment at Chipton-Ross, including recruiting, hiring, training, assignment, promotions, compensation, benefits, discipline, and terminations.