200+ applicants

Company

Original Job Post

Valley Bank · 4 days ago

Data Engineer

Morristown, NJ

Full-time

Onsite

Mid Level

$81K/yr - $140K/yr

3+ years exp

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Responsibilities

Design and development of ETL pipelines, data models, queries, scripts and maintenance procedures.

Identify opportunities to optimize performance from "end to end" perspective.

Ability to collaborate and partner with business domain leads, data scientists, product owners, enterprise architects and other functional leads to deliver enterprise data solutions. Collaborate with foundational solution functional teams, vendors, and technology support teams to build and deliver solutions on business initiatives.

Delivery solutions through a minimum viable product (MVP) and subsequent iterative cycles of development.

Prepare and maintain design and architectural documents for management and development teams.

Design and develop Cloud-based infrastructure both real-time and batch ETL processes.

Build multi-dimensional databases and data marts.

Participate in the development of data management policies, standards, and procedures. Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability.

Interface across several business areas, proactively assisting in defining project direction with business stakeholders.

Communicate complex technical information to project stakeholders, including those without a technical background to capture non-functional requirements.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

SQLPythonSparkCloud-based ETL toolsETL interfacesData WarehousesData LakesAnalytics solutionsAzure Data FactoryAzure DatabricksSnowflakeCloud technologyTechnology leadershipScalable cloud-based data solutionsData management best practicesData integrationData securityData warehousingData analyticsMetadata managementData qualityModern data integration frameworksDistributed systemsData architecture designsAgile methodologiesWaterfall developmentData visualizationPowerBIDevOpsCI/CD technologies

Required

Hands on development experience in one or more of the following: SQL, Python, Spark, Cloud-based ETL tools.

Expertise in development of ETL interfaces, Data Warehouses, Data Lakes, and Analytics solutions.

Experience with Azure Data Factory, Azure Databricks and Snowflake preferred (similar cloud technology experience also considered).

Demonstrated technology and personal leadership experience in designing and building highly scalable cloud-based data solutions.

Enterprise scale knowledge of data management best practices such as data integration, data security, data warehousing, data analytics, metadata management and data quality.

Knowledge and experience in modern data integration frameworks, highly scalable distributed systems, and emerging data architecture designs/patterns.

Strong knowledge of Operational, Analytical, Master, and Reference data models.

Experience with Agile methodologies as well as waterfall development.