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Data Reliability Engineer

2 months ago


Holmdel, New Jersey, United States Guardian Life Insurance Company Full time
About the Role

We are seeking a highly skilled Sr. Data Reliability Engineer to join our dynamic data technology team at Guardian Life Insurance Company. As a key member of our Enterprise Data Technology team, you will play a critical role in designing, building, and optimizing data pipelines for analytics and AI applications.

Key Responsibilities
  • Design and develop high-quality, scalable data pipelines using ETL/ELT tools and technologies such as Informatica PowerCenter and Cloud.
  • Collaborate with cross-functional teams to understand data requirements and design solutions that meet business needs.
  • Develop and implement data quality monitoring frameworks to detect anomalies, errors, and inconsistencies in the data pipeline.
  • Optimize data pipeline performance, scalability, and reliability through automation, monitoring, and tuning.
  • Troubleshoot and resolve data pipeline issues in a timely manner to minimize disruptions to data workflows.
  • Research and evaluate emerging technologies and tools to continuously improve data pipeline architecture and efficiency.
  • Mentor junior team members and promote a culture of data reliability, quality, and innovation within the organization.
Requirements
  • 12+ years of IT experience in working with data, building data pipelines, and data management or similar role.
  • 4+ years of experience in data reliability engineer (DRE) role in creating observability, reliability, and data quality frameworks using Collibra Data Quality and Observability/Monte Carlo/Splunk.
  • 3+ years of experience in handling incident management, response, resolutions, and metrics.
  • 5+ years of hands-on experience with ETL/ELT tools and technologies such as Informatica PowerCenter and Cloud.
  • 5+ years of experience in data engineering using Python, Pyspark, and Databricks.
  • Shell scripting experience is a must.
  • Experience with automation tools, automation scripts, and techniques to streamline data operations, alerting data pipelines, and optimize performance.
  • Good knowledge of RDBMS, programming, big data technologies, DevOps, and automation tools, Site reliability engineering (SRE) principles, Networking, Cloud computing, CI/CD version control, and Security best practices.
What We Offer
  • A competitive salary range of $91,000 to $149,925.
  • A comprehensive benefits package, including health care, dental, vision, and retirement plans.
  • Flexible work arrangements, including part-time remote work and unlimited paid time off.
  • Opportunities for professional growth and development, including training and mentorship programs.
  • A collaborative and inclusive work environment that values diversity and promotes work-life balance.