Sr. Data Reliability Engineer

Sr Data Reliability Engineer 

Do you want to be part of a collaborative Enterprise Data Technology team?  

Are you a problem solver who enjoys diving into data and architecting and maintaining high quality, flexible data solutions? Is a culture where “People Count,” “We Do the Right Thing,” and “We Hold Ourselves to Very High Standards” important to you?  If so, Guardian is seeking an Sr Data Reliability Engineer to join the team creating Data products. 

Working for the Head of ETL Services reporting into the Head of Data Technology organization, the successful candidate will be responsible for assisting in the design, development, and implementation of enterprise level data products for business analytics and AI that provide a single view of the Guardian customer and enable state of the art data access patterns by utilizing a disciplined software development methodology and leading-edge technologies. The candidate will display technical and functional competence in data management standards and uphold Guardian’s commitment to Guardian values. 

You are

We are seeking a highly skilled Sr. Data Reliability Engineer to join our dynamic data technology team whose vision committed to leveraging data-driven insights to drive innovation and company growth through data products and ensure the data reliability, integrity, and efficiency of our data pipelines for business analytics and AI.

A self-starter who is fueled by collaboration, able to transform conceptual designs into reliable, scalable processes that meet or exceed customer needs. 

You have

• 12+ Years of IT experience, with 10+ years of experience as a Senior level data reliability engineer or related data professional
• 10+ of experience and deep knowledge in Precisely connect technology tool.
• 3+ years of experience in modern data ingestion technology tools such as Fivetran for near real time data uses.
• 2+ years of experience in Collibra technology tool and data reliability engineering.
• 4+ years of experience and deeper knowledge in data engineering using Python, Pyspark and Databricks
• Working knowledge of the Finance or Insurance industry 
• Hands-on ETL tool Informatica PowerCenter, Informatica Cloud Data integration
• Experience across multiple RDBMS and Managed databases.
• 7+ years of experience strong UNIX scripting.
• Strong SQL, PL/SQL experience 
• Ability to adapt to changing business priorities and environments. 
• Significant experience interfacing with both customers and management across business and IT and track record of collaborating with IT, Business, and vendor teams to provide technical solutions and improvements, delivering end-to-end products/processes on schedule and budget, as per business requirements and SDLC standards. 
• Track record communicating issues & follow-up through issue resolution.
• Provide Development & Production Support for applications.
• Monitor production jobs, triage issues to appropriate team & resolve any issues in a timely manner.
• Partner with other IT areas in resolving issues & improving processes.
• Familiarity with Big Data technologies like Hadoop and Cloud technologies a plus

You will

• Design, implement, and maintain robust data pipelines for ingesting, processing, and transforming large volumes of structured and unstructured data.
• Develop and implement data quality monitoring frameworks to detect anomalies, errors, and inconsistencies in the data pipeline.
• Collaborate with cross-functional teams to understand data requirements and design scalable solutions to meet business needs.
• Implement data governance policies and procedures to ensure compliance with regulatory requirements and industry best practices.
• 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.
• Continue to look for innovative and next generation solutions for solving data challenges. 

Qualification

• Bachelor’s or master’s degree in computer science, Engineering, or related field.
• Proven experience in designing, building, and optimizing data pipelines for analytics and AI applications.
• Excellent problem-solving and troubleshooting skills with a focus on data quality and reliability.

Location

• Holmdel, NJ or Bethlehem, PA with work from home flexibility 

Up to 10% tr