Senior Data Engineer

14 hours ago

Reading, Pennsylvania, United States Penske Truck Leasing Full time
Job Title: Senior Data Engineer

Job Summary:

Penske Truck Leasing is seeking a highly skilled Senior Data Engineer to lead the technical design, engineering, and support of complex data integrations between business-critical applications and systems. As a key member of our data engineering team, you will participate in defining and implementing data engineering and analytics strategies, mentor other data engineers, and contribute to the development of innovative solutions for our customers.

Key Responsibilities:

  • Design and implement internal process improvements, automating manual processes, optimizing data delivery, and re-designing infrastructure for greater scalability.
  • 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.
  • Contribute to the discovery and decision-making process when changes to standards and technology are required.
  • 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 stay up to date with industry standards.

Requirements:

  • 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

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