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Senior Data Engineer

Senior Data Engineer

CompanyGuardian Life
LocationHolmdel, NJ, USA, Pittsfield, MA, USA, New York, NY, USA, Bethlehem, PA, USA
Salary$96960 – $159300
TypeFull-Time
DegreesBachelor’s
Experience LevelSenior, Expert or higher

Requirements

  • Bachelor’s degree in STEM related field or equivalent.
  • 7 + years of experience in Data Engineering or similar role.
  • Strong understanding of data engineering principles, best practices, and software development life cycle.
  • Proficiency in SQL, Python, PySpark and bash scripts.
  • Knowledge of Databricks.
  • Experience with the design and development of ETL/ELT process.
  • Experience working in a Datawarehouse.
  • Understanding of Data modeling and in particular Dimension modeling.
  • Proven experience in designing and implementing robust data models and data pipelines.
  • Strong analytical and problem-solving skills.
  • Excellent communication and collaboration skills to work across multiple groups within the organization.

Responsibilities

  • Mentor junior data engineers and contribute to establishing best practices for data engineering.
  • Design, build and maintain robust & scalable data pipelines to feed descriptive analytics, predictive analytics, and reporting use cases.
  • Work closely with business partners, data scientists & BI team to understand the business process, data needs and translate them into an effective data solution.
  • Construct meaningful data assets sourced from structured, semi structured, and unstructured data.
  • Ensure data quality, accuracy and integrity of the data assets created.
  • Automate the data pipelines end to end.
  • Participate in data modeling and schema design.
  • Collaborate with cross-functional teams to identify the right data sources for the use cases.
  • Perform data discovery and analysis on various data sources.
  • Find and tell the compelling narrative of the data that aligns to the intended audience.
  • Create and maintain Data Dictionary for the data pipelines.
  • Participate in code reviews and documentation efforts to maintain high-quality code and data documentation.

Preferred Qualifications

  • Experience in Alteryx is a plus.