Sr. Data Engineer

Redolent • San Bruno, CA

4d • Onsite

About The Position

Looking for a backend data engineer with Adobe Analytics or Google Analytics knowledge. Should have very strong engineering skills, an analytical approach, and good programming skills. The role involves providing business insights by leveraging internal tools and systems, databases, and industry data. This role will involve coding, analytical modeling, root cause analysis, investigation, debugging, testing, and collaboration with business partners, product managers, and other engineering teams.

Requirements

• Excellent knowledge with SQL and Hive (HiveQL)
• Ability to build data pipelines using PySpark, Hive, and Scala Spark
• Proficient knowledge of a programming language preferably Python or Java or Scala
• Good understanding of Adobe Analytics or Google Analytics
• Strong analytical background
• Self-starter
• Must be able to reach out to others and thrive in a fast-paced environment.
• Strong background in transforming big data into business insights
• Knowledge/experience on Teradata Physical Design and Implementation, Teradata SQL Performance Optimization
• Experience with Teradata Tools and Utilities (FastLoad, MultiLoad, BTEQ, FastExport)
• Advanced SQL (preferably Teradata)
• Experience working with large data sets, experience working with distributed computing (MapReduce, Hadoop, Hive, Pig, Apache Spark, etc.)
• Strong Hadoop scripting skills to process petabytes of data
• Experience in Unix/Linux shell scripting or similar programming/scripting knowledge
• Experience in ETL/ processes
• Real time data ingestion (Kafka)

Nice To Haves

• Ability to code in JavaScript would be a big plus
• Tableau, Looker and PowerBI experience
• Knowledge of Google Cloud Platform (GCP)
• Prior experience with Marketing datasets and building Marketing reporting
• Development experience with Java, Scala, Flume, Python
• Cassandra
• Automic scheduler
• R/R studio, SAS experience a plus
• Presto
• Hbase
• Tableau or similar reporting/dash boarding tool
• Modeling and Data Science background
• Retail industry background

Responsibilities

• Build data pipelines using PySpark, Hive, and Scala Spark
• Provide business insights, while leveraging internal tools and systems, databases and industry data
• Transform business requirements to code, specific analytical reports and tools
• Coding, analytical modeling, root cause analysis, investigation, debugging, testing and collaboration with the business partners, product managers other engineering team.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior