Senior Data Engineer

Lytx, Inc.
Published
January 7, 2021
Location
San Diego, CA
Job Type
 

Description

Lytx, Inc. is proud to be an equal opportunity/affirmative action employer and maintains a drug-free workplace. We are committed to attracting, retaining and maximizing the performance of a diverse and inclusive workforce. EOE/M/F/Disabled/Vet.

Senior Data Engineer
Office - San Diego, CA

Full time
R-1016

Innovation Lives Here

You go all in no matter what you do, and so do we. You want to use your powers for good, and that's exactly what we do at Lytx®. Our team is made up of hungry, humble, and capable people who are making a difference every day with technology that helps save lives each year.

Lytx:

Are you looking to take your career in Data Engineering to the next level? Do you enjoy building data pipelines that enable critical business insights? Are you an expert in designing and delivering scalable streaming data solutions? Lytx is looking for a Senior Data Engineer to join our growing team!

You'll know you're right for this job if you enjoy working with data pipelines that enable decision makers and facilitate the development of machine learning algorithms. While you have excellent technical skills, your ability to drive results and influence technology decisions are also very apparent. In addition, you intimately know the Data Engineering landscape and enjoy advising software developers and mentoring more junior employees.

What You'll Do:

  • Provide senior-level contributions to the development teams responsible for implementing mission critical data applications
  • Participate in the full software development lifecycle (requirements, design, code, unit test, deployment, sustaining)
  • Develop and manage steaming data pipelines used for training and developing machine learning models
  • Participate in the research, design, and testing of next generation data engine platforms
  • Develop and guide long-term strategy for data pipelines and persistent data storage
  • Evaluate and recommend database infrastructure and tools including cloud technologies
  • Build integrated and automated data pipelines using the Hadoop Ecosystem (Spark, Kafka, Hive, Yarn, Oozie)
  • Develop efficient and effective T-SQL to extract, transform, and load data from source systems
  • Process documentation and data flow diagramming
  • Mentor and coach junior engineers ,software developers, and data analysts
  • Perform other related duties as assigned

What You'll Need:

  • Minimum 5 years of experience in Data Engineering and/or Software Development
  • Minimum 3 years of experience working with the Apache Hadoop Ecosystem
  • Minimum 3 years of experience with MS SQL Server or other RDBMS
  • Significant experience with Spark, Kafka, Nifi, and other streaming data tools
  • Strong knowledge of the Hadoop Ecosystem including HDFS, MapReduce, Sqoop, Yarn, Hive, and Oozie
  • Solid understanding of T-SQL and ETL programming including SQL Server Integration Services (SSIS)
  • Extensive knowledge of common data warehousing technologies and techniques
  • Excellent conceptual, analytical, and problem-solving skills
  • Experience in a high growth, fast paced environment
  • Demonstrated record of delivering quality technology outcomes
  • Strong organizational skills and a keen attention to detail
  • Self-motivated, engaged, and accountable
  • Bachelor's degree in Information Technology or similar discipline

Nice to Have:

  • Familiarity with Java programming is a plus
  • Familiarity with cloud data offerings (AWS, GCP, Snowflake) is a plus
  • Familiarity with Greenplum is a plus

PI128339077

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