Hybrid Associate Director, Data Engineering

Posted 2 weeks ago

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About the role

  • Lead the design and implementation of distributed data processing workloads using Python, including data access from relational databases and cloud storage technologies.
  • Ensure performance, security, and reliability; coordinate with application teams to define database design.
  • Collaborate with cross-functional teams to support data-driven initiatives.
  • Mentor junior team members and promote best practices.
  • Oversee maintenance and troubleshooting of distributed data processing systems.
  • Drive innovation by evaluating and integrating new technologies.
  • Produce system design documents and participate in technical walkthroughs.
  • Perform application and system performance tuning and troubleshoot performance issues.
  • Effectively interact with global customers, business users, and IT staff.

Requirements

  • Bachelor’s degree in Computer Science, Information Systems, Engineering, or equivalent work experience.
  • 10+ years of IT experience in application support or development.
  • Design & build ingestion pipelines using ETL/ELT and schema-on-read in data lake technologies.
  • Experience in designing transactional systems, data warehouses, data lakes, and data integrations within a big data ecosystem, particularly leveraging cloud technologies.
  • Provide technical expertise in the design and implementation of data ingestion pipelines with modern AWS cloud and other technologies such as S3, Hive, Databricks, Scala, Python, and large-scale data analytics tools.
  • Strong experience in managing distributed data processing workloads, including configurations.
  • Experience in working with multi-threaded, high-performance, low-latency messaging systems.
  • Experience in AWS cloud-based technologies.
  • Experience using system tools, source control systems, utilities, and third-party products.
  • Excellent communication skills, with strong verbal and writing proficiencies.

Benefits

  • Health & Wellness: Health care coverage designed for the mind and body.
  • Flexible Downtime: Generous time off helps keep you energized for your time on.
  • Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills.
  • Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs.
  • Family Friendly Perks: It’s not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families.
  • Beyond the Basics: From retail discounts to referral incentive awards—small perks can make a big difference.

Job title

Associate Director, Data Engineering

Job type

Experience level

Senior

Salary

$127,000 - $185,000 per year

Degree requirement

Bachelor's Degree

Location requirements

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