Sr Data Engineer, PySpark

Hertz•Atlanta, GA

17d•$135,000

About The Position

The Senior Data Engineer, PySpark will be responsible for building and maintaining data pipelines and workflows that support ML, BI, analytics, and software products. This individual will work closely with data scientists, data engineers, analysts, software developers and SME’s within the business to deliver new and exciting products and services. The main objectives are to develop data pipelines and fully automated workflows to drive operational efficiency and effectiveness by enabling data-driven decisions across the organization. This includes fostering collaboration, building partnerships, co-developing products, sharing knowledge, providing insights and valuable predictive information to business teams and leaders to highlight potential risks and opportunities that initiate the drive for change. We expect the starting salary to be around $135k but will be commensurate with experience.

Requirements

5+ years professional experience as a data engineer, software engineer, data analyst, data scientist or related role
Strongly prefer hands on experience with DataBricks or Palantir
Experience with relational and dimensional database modelling (Relational, Kimball, or Data Vault)
Proven experience with all aspects of the Data Pipeline (Data Sourcing, Transformations, Data Quality, Etc…)
Bachelors or Masters in Computer Science, Information Systems, or an engineering field or equivalent work experience
Excellent written and verbal communication skills.
Strong capabilities in a scripting language such as Python, R, Scala, etc.
Strong capabilities in SQL and experience with stored procedures
Strong interpersonal and communication skills with Agile/Scrum experience.
Strong problem solving and critical thinking skills with a proven record for identifying and diagnosing problems, and solving complex problems with simple, logical solutions.
Outstanding verbal, written, presentation, facilitation, and interaction skills, including ability to effectively communicate technical and non-technical issues and concepts to multiple organization levels.

Nice To Haves

Prefer Travel, transportation, or hospitality experience
Prefer experience with designing application data models for mobile or web applications
Flexibility in scheduling which may include nights, weekends, and holidays preferred
Prefer experience with event driven architectures and data streaming pub/sub technologies such as IBM MQ, Kafka, or Amazon Kinesis.

Responsibilities

TECHNICAL LEADERSHIP Development of high-quality code for the core data stack including data integration hub, data warehouse and data pipelines.
Build data flows for data acquisition, aggregation, and modeling, using both batch and streaming paradigms
Empower data scientists and data analysts to be as self-sufficient as possible by building core systems and developing reusable library code
Support and optimize data tools and associated cloud environments for consumption by downstream systems, data analysts and data scientists
Ensure code, configuration and other technology artifacts are delivered within agreed time schedules and any potential delays are escalated in advance
Collaborate across developers as part of a SCRUM or Kanban team ensuring collective team productivity
Participate in peer reviews and QA processes to drive higher quality
Ensure that 100% of code is well documented and maintained in source code repository.
INNOVATIVE INFRASTRUCTURE & PROBLEM SOLVING Strive to engineering excellence by simplifying, optimizing, and automating processes and workflows.
TEAMWORK & COMMUNICATION Proactively educate others on basic data management concepts such as data governance, master data management, data warehousing, big data, reporting, data quality, and database performance.
Superior & demonstrated team building & development skills to harness powerful teams
Ability to communicate effectively with different levels of leadership within the organization
Provide timely updates so that progress against each individual incident can be updated as required
Write and review high quality technical documentation
CONTROL & AUDIT Ensures their workstation and all processes and procedures, follow organization standards
CONTINUOUS IMPROVEMENT Encourages and maintains a ‘Best practice sharing culture’, always striving to find ways to improve service and change mind set.