Lead Data Engineer

  • location: Philadelphia, PA
  • type: Permanent
  • salary: $140,000 - $170,000 per year

job description

Lead Data Engineer

job summary:
Philly based

Expect everyone to be back in the office.

Flex option to work 2 days from home and 3 days.

recommending it

Top

Python

Post data base

Jango

Azure base

Managing a team a developing team

Philly based

Expect everyone to be back in the office.

Flex option to work 2 days from home and 3 days.

ly recommending it

ency

Top

Python

Post data base

Jango

Azure base

Managing a team a developing team

 
location: Philadelphia, Pennsylvania
job type: Permanent
salary: $140,000 - 170,000 per year
work hours: 8am to 4pm
education: Bachelors
 
responsibilities:
Managerial role technical manager. One is based in Philly and 3 in India

Work closely with Kevin, and Jospeh, the 4 would be responsible.

Philly based

Expect everyone to be back in the office.

Flex option to work 2 days from home and 3 days.

strongly recommending it

If you are vacinated you don't have to wear a mask.

160 to 170k

W2 ideally someone with permeant residency

Top

Python

Post data base

Jango

Azure base

Managing a team a developing team

Responsibilities:

- Drive and execute the vision for data engineering and infrastructure strategy supporting a wide spectrum of data needs ranging from large scale data management, cloud infrastructure, modern data architecture, data science use cases through rapid prototyping

- Manage and develop a team of Data Engineers (onshore and offshore)

- Engineer and deliver high quality data pipelines for data warehousing and big data solutions factoring in data quality, performance management, security and scalability

- Lead and participate in architecture discussions, recommend design choices and execute projects balancing strategic and tactical goals

- Collaborate and foster cross-functional relationships with data scientists, application developers and business stakeholders to understand data needs and build reliable solutions - Mentor and grow a team of data engineers and help accelerate data driven culture

Qualifications:

- 7+ years of experience or a Bachelor's degree in quantitative field, MS preferred - Demonstrated expertise in SQL, database design, data modeling and data warehousing. - Hands on development experience building data and analytics solutions, traditional and modern data warehouses, ETL/ELT data pipelines to process structured/semi-structured/ unstructured data and drive insights

- Working knowledge of DevOps model, automated workflows, associated CI/CD components and containers (git, Jenkins, Docker, Kubernetes etc.)

- Experience implementing analytic platforms in at least one of the major cloud. ecosystems (AWS/Azure/GCP) unlocking potential to explore and experiment at scale. - Development experience in at least one or more programming languages (e.g., Java, C#, Python) and creating interoperable data exchange mechanisms (APIs, Webhooks etc.

- Familiarity with one or more visualization tools (Tableau, PowerBI, etc.)

- Ability to give technical feedback on code quality, perform code reviews, suggest improvements with an eye toward readable, reliable, unit-tested code.

Good verbal and written communication skills with ability to share quantitative and qualitative analysis in a clear, concise, and actionable manner.

- Comfortable in a fast paced and fun environment with multiple competing priorities - Strong understanding of data quality with regard to relational databases

- Ability to break down business requirements into technical specifications.

- Ability to break down technical specifications into small stories that can be completed in 2-week sprints.

- Mentoring, training, guidance, and direction of 4 engineers, directly reporting to this position. - Work across organizational boundaries to uncover and understand hidden business requirements.

Preferred Qualifications:

- Good understanding of data privacy, GDPR and best practices around data encryption - Working knowledge of Master Data Management, Data Virtualization and microservices based architecture.

Prior experience with data management and executing batch and real-time data pipelines to tackle large scale systems.

- Hands on experience building on-prem, hybrid and multi-cloud data solutions to support enterprise-wide data democratization.

- Project management experience managing vendors and system integrators to lead data engagements and drive adoption.

Competencies

Accountable

Adaptive

Inclusive

Innovative

Leadership

Strategic

Functional or Technical Knowledge or Skills

 
qualifications:
  • Experience level: Experienced
  • Minimum 8 years of experience
  • Education: Bachelors
 
skills:
  • Python (7 years of experience is preferred)

Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.

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