Description

The Senior Data Engineer position, specifically with expertise in data engineering , data integration , data pipelines, design, development, performance tuning, automation, high availability, and operational support experience with MongoDB, Cassandra, Oracle platform will join a growing and high energy team supporting Enterprise customers. As a Senior Data Engineer, you will be responsible for providing the highest technical expertise for the planning, design, development, and implementation for Data platforms including technical communications with the vendor. This role will also provide oversight, mentoring, and leadership to less experienced on-shore and off-shore staff. The successful candidate must be comfortable working on multiple fast moving projects simultaneously, collaborating with application architects, application teams, information security teams, and leadership at all levels of the organization.

Responsibilities for this role in working on an enterprise team supporting large, highly complex Databases include the following:

• Ability to see the big picture and influence future direction in alignment with DTI enterprise goals.
• Generative AI – Embrace generative ai practices and help implement AI enabled search and tools.
• Design and develop Data Pipelines and Data Integration processes to meet the requirements of high tier applications.
• Automation - Streamline Database change deployment using tools like Liquibase that scale with technology changes.
• Design and develop migration strategies for RDBMS to NOSQL solutions
• Design and develop end-to-end Data solutions including design of data models, scripts and tools for automation.
• Gain technical depth and breadth with new features, products, and tools to serve as a subject matter expert for the DTI organization.
• Drive adoption of standard operational practices to deliver highly available solutions.
• Ability to take a lead role in projects that have a broad impact.
• Strong Customer Service Focus.

Required Qualifications:

• 4+ years of Data Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
• 3+ years of Database design, Data Pipelines, Data modelling, Database performance and performance tuning experience (NoSQL and Relational)
• 2+ years of working in a RHEL environmen
• 2+ years of MongoDB, MongoDB Ops Manager experience
• 2+ years of working in the OCP (Open Shift Container Platform) or another virtualization environment with python and ETL processing
• 2+ years of Developing Mongo queries, aggregation pipelines and reporting.
• 2+ years of supporting Cassandra, Oracle Database environments.

Desired Qualifications:

• 2+ years supporting Data Engineering implementations in a regulated banking or financial industry.
• Experience with OCP (Open Shift Container) and Python scripting.
• Experience with automation tools - Liquibase and integration with Harness
• Experience supporting MongoDB Databases scaled across data centers.
• Experience using Mongo Shell and Mongo utilities for data transformation and processing.
• In-depth understanding of MongoDB HA strategies, including replica sets.
• Experience with setting and tuning MongoDB system parameters
• Experience using MongoDB Ops Manager
• Experience with Cassandra, Yugabyte and Oracle
• Experience with designing LDAP roles, users, privileges keeping Enterprise Security rules in place.
• Experience with Python, Shell scripting
• Experience with Jira and Agile
• Strong analytical skills with high attention to detail and accuracy
• Excellent verbal, written, and interpersonal communication skills

Key Skills

Education

Any Graduate