Sr. Developer

Endava•New Jersey, NJ

7h•Hybrid

About The Position

Technology is our how. And people are our why. For over two decades, we have been harnessing technology to drive meaningful change. By combining world-class engineering, industry expertise and a people-centric mindset, we consult and partner with leading brands from various industries to create dynamic platforms and intelligent digital experiences that drive innovation and transform businesses. From prototype to real-world impact - be part of a global shift by doing work that matters.

Requirements

Must be willing to work onsite in Morristown, NJ 3 days a week.
Design, develop, and maintain scalable data pipelines using DBT, Snowflake, and Azure services.
Build and optimize ELT/ETL workflows for data ingestion, transformation, and integration from multiple source systems.
Develop and maintain data models, marts, and semantic layers using DBT best practices.
Implement robust data warehousing solutions in Snowflake, ensuring high performance and scalability.
Optimize Snowflake objects, queries, warehouses, clustering, and storage utilization.
Establish data quality frameworks, testing strategies, and monitoring using DBT tests and custom validation mechanisms.
Utilize Azure services such as Azure Data Factory (ADF), Azure Synapse Analytics, Azure Databricks, and Azure Storage.
Implement CI/CD pipelines and DevOps practices for data engineering deployments.
Collaborate with business stakeholders, data analysts, architects, and development teams to gather requirements and deliver data solutions.
Ensure adherence to security, governance, compliance, and data management standards.
Troubleshoot production issues and provide performance tuning recommendations.
Mentor junior engineers and contribute to data engineering best practices.
Experience working in Agile methodologies and Scrum teams.
Strong SQL development and query optimization skills.
Experience designing and implementing dimensional data models.
Knowledge of data governance and data quality frameworks.
Participation in both internal meetings and external meetings via video calls, as necessary.
Ability to go into corporate or client offices to work onsite, as necessary.
Prolonged periods of remaining stationary at a desk and working on a computer, as necessary.
Ability to bend, kneel, crouch, and reach overhead, as necessary.
Hand-eye coordination necessary to operate computers and various pieces of office equipment, as necessary.
Vision abilities including close vision, toleration of fluorescent lighting, and adjusting focus, as necessary.

Nice To Haves

For positions that require business travel and/or event attendance, ability to lift 25 lbs, as necessary.
For positions that require business travel and/or event attendance, a valid driver’s license and acceptable driving record are required, as driving is an essential job function.

Responsibilities

Understand the Business End to End.
Understand the Application Architecture.
Responsible for Designing and building Applications.
Understand the project timelines and deadlines.
Provide Impact analysis for New requirements or changes.
Responsible for low level design with the team.
Convey architectural solutions to all levels of professionals and leaders.
Ensure Code Quality and Deliverables.
Lead the team and deliverables -Prioritize work with stakeholders.
Understand and follow the current Code Build and Deployment patterns across all environments.
Perform checkouts of the code deployments before the QA starts testing.
Design, develop, and maintain scalable data pipelines using DBT, Snowflake, and Azure services.
Build and optimize ELT/ETL workflows for data ingestion, transformation, and integration from multiple source systems.
Develop and maintain data models, marts, and semantic layers using DBT best practices.
Implement robust data warehousing solutions in Snowflake, ensuring high performance and scalability.
Optimize Snowflake objects, queries, warehouses, clustering, and storage utilization.
Establish data quality frameworks, testing strategies, and monitoring using DBT tests and custom validation mechanisms.
Utilize Azure services such as Azure Data Factory (ADF), Azure Synapse Analytics, Azure Databricks, and Azure Storage.
Implement CI/CD pipelines and DevOps practices for data engineering deployments.
Collaborate with business stakeholders, data analysts, architects, and development teams to gather requirements and deliver data solutions.
Ensure adherence to security, governance, compliance, and data management standards.
Troubleshoot production issues and provide performance tuning recommendations.
Mentor junior engineers and contribute to data engineering best practices.
Experience working in Agile methodologies and Scrum teams.
Strong SQL development and query optimization skills.
Experience designing and implementing dimensional data models.
Knowledge of data governance and data quality frameworks.

Benefits

Competitive salary package
share plan
company performance bonuses
value-based recognition awards
referral bonus
Career coaching
global career opportunities
non-linear career paths
internal development programmes for management and technical leadership
Complex projects
rotations
internal tech communities
training
certifications
coaching
online learning platforms subscriptions
pass-it-on sessions
workshops
conferences
Hybrid work and flexible working hours
employee assistance programme
Global internal wellbeing programme
access to wellbeing apps
Global internal tech communities
hobby clubs and interest groups
inclusion and diversity programmes
events and celebrations
Robust healthcare and benefits including Medical, Dental, vision, Disability coverage, and various other benefit options
Flexible Spending Accounts (Medical, Transit, and Dependent Care)
Employer Paid Life Insurance and AD&D Coverages
Health Savings account paired with our low-cost High Deductible Medical Plan
401(k) Safe Harbor Retirement plan with employer match with immediately vest