Lead Data Engineer
Company: Penske
Location: Reading
Posted on: October 30, 2024
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Job Description:
Summary Statement: Working with a team, you will lead the
technical design, engineering, and support of complex data
integrations between business-critical applications and systems.
You will also participate in defining and implementing data
engineering and analytics strategies; and mentor other data
engineers on data engineering best practices to create our next
generation of innovative solutions for our customers. What You Will
Be Doing: As a Senior Data Engineer, you will be leading the effort
to develop, enhance, and support existing and new data pipelines,
data ingestions, data storage, and traditional Data-warehouse/BI
systems across medium and large-sized projects concurrently. You
will support our software developers, database architects, data
analysts, and data scientists on vital initiatives and ensure
optimal data delivery architecture consistent throughout ongoing
projects. You will have the opportunity to influence our data and
analytics roadmap through constant interactions with various
business and technology teams. You will lead the design of vital
components and suggest/implement new frameworks and tools based on
industry and technological trends and advances. You will also
consult with process owners in reviewing, interpreting & developing
systems per user requirements and ensuring code quality through
proper documentation, best practices, and code reviews. Working in
our collaborative environment, you will further develop your skills
while also acting as a mentor and technical guide to other
associate data engineers. Penske Responsibilities: Be the primary
contact and lead support associate for multiple critical
projects/data pipelines and integrations and resolve customer
issues promptly. Collaborate with technical/business leaders,
product owners, software engineers, data architects, and data
analysts to acquire and understand requirements/acceptance
criteria. Participate in defining Data Engineering Process and
Technology strategies. Provide day-to-day task leadership and
project reviews. Communicate status and issues to team members and
stakeholders. Produce deliverables for medium to large-sized
projects with clean, well-documented, and easily maintainable code
that adheres to defined coding standards. Design and implement
internal process improvements: automating manual processes,
optimizing data delivery, re-designing infrastructure for greater
scalability, etc. Partner with cross-functional teams to build
analytics tools that utilize the data pipeline to provide
actionable insights into key business performance metrics.
Participate in building data security and data governance
guidelines Participate in Design and Deploy Tollgate reviews and
gain buy-in from cross-functional teams including QA, Architect,
Security, Webmaster, and Operations. Contribute and influence the
discovery and decision-making process when changes to standards and
technology are required (tools, conventions, and design patterns).
Assign projects and review deliverables from onshore and offshore
software engineers. Provide constructive input to department
management regarding team members assigned to the project.
Independently conduct new hire interviews. Design and manage data
models to handle large datasets of existing structured and
unstructured data. Research and discover new methods to acquire
data, and new applications for existing data and stay up to date
with the industry standards. Stay current with the rapidly
developing Data Engineering landscape and share knowledge
internally and with customers. Create recommendations for
increasing data utilization based on an understanding of the data
delivery environment. Other duties as assigned. Penske
Qualifications: Bachelor's degree in computer science/computer
engineering or equivalent years of software development experience
required. 10+ years of overall technology experience. 8+ years of
Data Engineering, Data Modeling, and Data Warehousing experience
required. 2+ years of experience working with Agile teams
preferred. 1-2 years of experience leading medium to large
projects. Expert knowledge of full data engineering lifecycle.
Exposure to Data Lake, Lake House concepts, and technologies like
Snowflake, AWS RedShift, or Databricks. Experience in
multidimensional data modeling, logical, physical, and star
schemas, snowflakes, and de-normalized models. Experience in
handling Big Data, IOT Data, and specifically a variety of Big Data
file Formats Avro, Parquet, etc. Expertise in cloud technologies
preferably AWS. Expert experience with Data Engineering tools such
as Talend, SAP BODS, Kafka, Python, PySpark, Python APIs,
Kubernetes, S3, Glue, Athena, EMR, etc. Exposure to BI & analytics
tools such as Qlik Sense, Sagemaker, SAS Viya, and Dataiku
Experience in handling purposeful database platforms that include
Relational, Key-Value, In-Memory, Document, Time series, and
Geospatial data stores. With a strong SQL background. Expert
experience in building data pipelines, data ingestions, data
integrations, data preparations, data transformation, data
structures, metadata, and traditional Data warehouses and Data
Marts Strong analytic skills related to working with complex
datasets. Expertise in designing, validating, and implementing
multiple projects across the hybrid infrastructure (On-cloud to
On-Premises and vice versa) In-depth knowledge of appropriate
design frameworks and patterns and experience in implementing them.
Knowledge of industry-wide technology strategies and best practices
Understanding of message queuing, stream processing, and highly
scalable 'big data' data stores Solid written and oral
communication skills; ability to present ideas in business-friendly
and user-friendly language Physical Requirements: -The physical and
mental demands described here are representative of those that must
be met by an associate to successfully perform the essential
functions of this job. Reasonable accommodations may be made to
enable individuals with disabilities to perform the essential
functions. -The associate will be required to: read; communicate
verbally and/or in written form; remember and analyze certain
information; and remember and understand certain instructions or
guidelines. -While performing the duties of this job, the associate
may be required to stand, walk, and sit. The associate is
frequently required to use hands to touch, handle, and feel, and to
reach with hands and arms. The associate must be able to
occasionally lift and/or move up to 25lbs/12kg. -Specific vision
abilities required by this job include close vision, distance
vision, peripheral vision, depth perception and the ability to
adjust focus. Penske is an Equal Opportunity Employer. About Penske
Truck Leasing Penske Truck Leasing Co., L.P., headquartered in
Reading, Pennsylvania, is a partnership of Penske Corporation,
Penske Automotive Group and Mitsui & Co., Ltd. A leading global
transportation services provider, Penske operates a premier fleet
of vehicles and serves its customers from locations in North
America, South America, Europe, Australia, and Asia. Penske's
product lines include full-service truck leasing, contract
maintenance, commercial and consumer truck rentals, used truck
sales, transportation and warehousing management and supply chain
management solutions. Visit www.GoPenske.com to learn more Job
Category: Information Technology Job Family: Analytics &
Intelligence Address: 100 Gundy Drive Primary Location:
US-PA-Reading Employer: Penske Truck Leasing Co., L.P. Req ID:
2408279 Date posted: 10/29/2024
Keywords: Penske, Bayonne , Lead Data Engineer, Engineering , Reading, New Jersey
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