Senior Data Engineer (P707)
84.51
As a Senior Data Engineer, you will have the opportunity to build solutions that ingest, transform, store, and distribute our big data to be consumed by data scientists and our products. Our data engineers use PySpark/Python, Databricks, Hadoop, Hive, and other data engineering technologies and visualization tools to deliver data capabilities and services to our scientists, products, and tools. Responsibilities Take ownership of features and drive them to completion through all phases of the entire 84.51° SDLC. This includes internal and external facing applications as well as process improvement activities: Participate in the design and development of Databricks and Cloud-based solutions. Implement automated unit and integration testing. Collaborate with architecture and lead engineers to ensure consistent development practices. Provide mentoring to junior engineers. Participate in retrospective reviews. Participate in the estimation process for new work and releases. Collaborate with other engineers to solve and bring new perspectives to complex problems. Drive improvements in data engineering practices, procedures, and ways of working. Embrace new technologies and an ever-changing environment. Requirements 4+ years proven ability of professional Data Development experience 3+ years proven ability of developing with Databricks or Hadoop/HDFS 3+ years of experience with PySpark/Spark 3+ years of experience with SQL 3+ years of experience developing with either Python, Java, or Scala Full understanding of ETL concepts and Data Warehousing concepts Experience with CI/CD Experience with version control software Strong understanding of Agile Principles (Scrum) Bachelor’s Degree (Computer Science, Management Information Systems, Mathematics, Business Analytics, or STEM) Bonus Points Experience with Azure Experience with Databricks Delta Tables, Delta Lake, Delta Live Tables Proficient with Relational Data Modeling Experience with Python Library Development Experience with Structured Streaming (Spark or otherwise) Experience with Kafka and/or Azure Event Hub Experience with GitHub SaaS / GitHub Actions Experience with Snowflake Exposure to BI Tooling (Tableau, Power BI, Cognos, etc.) #J-18808-Ljbffr 84.51
- ...Agility Partners is seeking a Data Engineer to support a client in the banking industry. This role focuses on building scalable, reliable data systems that enable analytics, reporting, and predictive insights. You’ll work hands‑on with modern cloud data platforms and partner...Senior
Agility Partners
Cincinnati, OH14 hours ago $98k - $169.05k
84.51° Overview 84.51° is a retail data science, insights and media company. We help The Kroger Co., consumer packaged goods companies... ...week sourced from 62 million households. As a member of our engineering team you will use various cutting‑edge technologies to develop...SeniorWork at office84.51˚
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- 84.51° in Cincinnati is hiring a data developer to ingest, store, and distribute big data. You will work in scrum teams using Python... ...for Kroger and partners. Collaborate with architecture and senior engineers, implement tests, mentor juniors, and contribute to continuous...Senior
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- ...Job Description Job Description Sr. Data Engineer for Cincinnati OH Will work on the projects from inception to end using Azure cloud technologies like PySpark, Spark SQL, Azure Data Lake Storage, Azure Data Factory, Azure SQL, Azure Data Warehouse, Azure Synapse...Senior
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