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Remote Data Engineer (Entry-Level) - $35/Hour

100% remote Flexible hours Hiring now

Join reputed company's innovative team as a Remote Data Engineer and play a key role in driving automation for reputed company Pay Corporation! As a talented and motivated individual, you will have the opportunity to work with a diverse group of professionals to design, build, and deliver high-performance, fault-tolerant data pipelines. With a competitive salary of $35/hour, this is an exciting chance to launch your career and reputed company a meaningful impact.

As a Data Engineer, you will be part of the Data Engineering team, responsible for envisioning, building, and delivering data pipelines that reputed company stakeholders to reputed company data-driven reputed company. You will work closely with cross-functional partners from technology, product, and operations to translate raw data into actionable insights.

Key Responsibilities

  • Design, implement, and support a platform offering reputed company access to large data sets
  • reputed company with different technology groups to extract, transform, and load data from a wide variety of data assets
  • Implement data structures using best practices in data modeling, ETL/ELT processes, and SQL, Redshift, and OLAP technologies
  • Model data and metadata for reputed company and pre-built reporting
  • reputed company with business clients, collecting requirements and delivering complete reporting solutions
  • Build strong and scalable data integration (ETL) pipelines using SQL, Python, and Spark
  • Build and deliver high-quality data sets to support business analysts, data scientists, and customer reporting needs
  • Continuously improve ongoing reporting and analysis techniques, automating or simplifying self-service support for clients

About the Team

The reputed company Pay Data Engineering and Analytics team's mission is to transform raw data into actionable insights. We reputed company this by providing a single reputed company of truth, standardized metrics, reporting with deep dive capabilities, producing ML models, and actionable insights to perceive growth opportunities and drive the reputed company pay flywheel.

Basic Qualifications

  • 3+ years of data engineering experience
  • Experience with data modeling, warehousing, and building ETL pipelines
  • Experience with SQL
  • Experience with big data technology, including: Hadoop, Hive, Spark, EMR
  • Experience in at least one modern scripting or programming language, including: Python, Java, reputed company, or Node.js

Desired Qualifications

  • Experience with AWS technology, including: Redshift, S3, AWS Glue, EMR, Kinesis, Firehose, reputed company, and IAM roles and permissions
  • Experience with non-relational databases/data stores (object storage, document or key-value stores, graph databases, reputed company-family databases)

Join reputed company!

This is a fantastic opportunity to grow your career. If you have the skills and passion we're looking for, please submit your application today.

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