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job summary:
This is an opportunity for a Sr Data Engineer to join a fast growing and leading grocery chain in the Midwest.
location: Grand Rapids, Michigan
job type: Permanent
s
Responsibilities:
Designing and implementing large-scale, distributed data processing systems using technologies such as Apache Hadoop, Apache Spark, or Apache Flink.
Developing and optimizing data pipelines and workflows for ingesting, storing, processing, and analyzing large volumes of structured and unstructured data.
Collaborating with data sc
Job Description
What Data Engineering contributes to Cardinal Health
The Data & Analytics Function oversees the analytics life-cycle in order to identify, analyze and present relevant insights that drive business decisions and anticipate opportunities to achieve a competitive advantage. This function manages analytic data platforms, the access, de
LRS
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Who We Are
History (https://www.lrs.com/who-we-are/history/)
Company Overview
Leadership (https://www.lrs.com/who-we-are/leadership/)
A Message from Our CEO
What We Believe (https://www.lrs.com/what-we-believe/)
Our Mission
LRS Philosophy & Values (https://www.lrs.com/what-we-believe/lrs-philosophy-values/)
Communit
Company Description
We help the world see new possibilities and inspire change for better tomorrows. Our analytic solutions bridge content, data, and analytics to help business, people, and society become stronger, more resilient, and sustainable.
Job Description
We are looking for a savvy Data Engineer to join our growing team of analytics expe
Salary is 130k to 170k + bonus
2 days onsite and 3 days remote
Must Have Qualifications:
- Experience building and maintaining Data pipelines using Python
- Design, develop and maintain ETL processes
- Design and build databases, data warehouses and data lakes
- Data modeling and database design
- AWS Cloud, and services such as S3, Glue, Lambda
LHH is looking for a passionate Senior Data Engineer to aid an established and rapidly growing client of ours in the Computer Hardware space. This person will be heavily involved in developing solutions for enterprise data warehousing, reporting and business intelligence initiatives. In this capacity, you will work with the business users, func
Senior Data Engineer (Python, AWS, Spark, Big Data)
Location: Remote
Duration: 4 months with possible extension
Enterprise Data Machine Learning (EDML) employs innovative minds like yourself to design and develop software-systems that can meet the demand of our ever-growing customer base. Like a startup inside an enterprise, EDML focuses on using
Job Source: NucleusTeq
Sr Data Engineer
Jersey City, New Jersey
Job Description
We are looking for a savvy Data Engineer to join our growing team of analytics experts. The hire will be responsible for expanding and optimizing our data pipeline architecture. The ideal candidate is an experienced data pipeline builder and data wrangler with strong experience in handling data at scale. The Data Engineer will support our software developers, data analysts and data scientists on various data initiatives.
This is a remote role that can be done anywhere in the continental US; work is on Eastern time zone hours.
Why this role
This is a highly visible role within the enterprise data lake team. Working within our Data group and business analysts, you will be responsible for leading creation of data architecture that produces our data assets to enable our data platform. This role requires working closely with business leaders, architects, engineers, data scientists and wide range of stakeholders throughout the organization to build and execute our strategic data architecture vision.
Job Duties
Extensive understanding of SQL queries. Ability to fine tune queries based on various RDBMS performance parameters such as indexes, partitioning, Explain plans and cost optimizers.
Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS technologies stack
Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
Working with data scientists and industry leaders to understand data needs and design appropriate data models.
Participate in the design and development of the AWS-based data platform and data analytics.