data engineer.
morristown , new jersey
posted 6 days ago
job detailssummary
$100,000 - $140,000 per year
permanent
bachelor degree
category computer and mathematical occupations
reference1058684
job detailsjob summary:Are you ready to take your data engineering career to the next level? Join our clients dynamic team where you'll have the opportunity to design and develop cutting-edge ETL pipelines, data models, and cloud-based infrastructures. You'll work alongside industry leaders, collaborating with data scientists, product owners, and enterprise architects to deliver innovative enterprise data solutions.Their projects offer a blend of challenge and excitement, as you'll be driving optimization from an end-to-end perspective and implementing the latest in data integration frameworks and scalable distributed systems. If you're passionate about turning complex data into actionable insights and thrive in a collaborative, forward-thinking environment, they want you on their team.Embrace the chance to influence key business initiatives, grow your expertise in leading technologies like Azure Data Factory and Databricks, and be part of a company that values your contributions and fosters your professional growth.Please let me know if you have any questions!Matias RodriguezAccount Manager - PPORandstad DigitalMatias.Rodriguez@randstaddigital.comlocation: Morristown, New Jerseyjob type: Permanentsalary: $100,000 - 140,000 per yearwork hours: 8am to 4pmeducation: Bachelorsresponsibilities:
Design and Develop:
Create and manage ETL pipelines, data models, queries, scripts, and maintenance procedures.
Identify opportunities to optimize performance from an end-to-end perspective.
Collaborate and Communicate:
Work closely with business domain leads, data scientists, product owners, enterprise architects, and other functional leads to deliver enterprise data solutions.
Partner with foundational solution functional teams, vendors, and technology support teams to build and deliver solutions aligned with business initiatives.
Effectively communicate complex technical information to stakeholders, including those without a technical background, to capture non-functional requirements.
Delivery and Documentation:
Deliver solutions through a minimum viable product (MVP) and subsequent iterative development cycles.
Prepare and maintain design and architectural documents for management and development teams.
Cloud and Data Management:
Design and develop cloud-based infrastructure for 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 such as automating manual processes, optimizing data delivery, and re-designing infrastructure for greater scalability.
Interface and Assist:
Interface across several business areas, proactively assisting in defining project direction with business stakeholders.
Required Skills:
Development Experience:
Proficiency in one or more of the following: SQL, Python, Spark, Cloud-based ETL tools.
Expertise in developing ETL interfaces, Data Warehouses, Data Lakes, and Analytics solutions.
Preferred Technologies:
Experience with Azure Data Factory, Azure Databricks, and Snowflake is highly preferred, but similar cloud technology experience will be considered.
Technical and Leadership Skills:
Demonstrated leadership in designing and building highly scalable cloud-based data solutions.
Knowledge of data management best practices including data integration, data security, data warehousing, data analytics, metadata management, and data quality.
Familiarity with modern data integration frameworks, scalable distributed systems, and emerging data architecture designs/patterns.
Modeling and Visualization:
strong knowledge of operational, analytical, master, and reference data models.
Experience with data visualization tools such as PowerBI is preferred.
Development Methodologies:
Experience with Agile methodologies as well as waterfall development.
Experience in DevOps and CI/CD technologies is desirable.
Required Experience:
Educational Background:
Bachelor's degree in a quantitative or relevant field such as Statistics, Operational Research, Computer Science, Economics, Mathematics, or Data Science.
Professional Experience:
Minimum of 3 years of experience with large and complex systems in a financial institution, with a focus on data solution architecture, design, and development delivery. Preferably 5+ years of experience.
Expertise in data warehousing, building operational databases, data integration, and development design patterns.
Experience as a Data Engineer, Database Developer, Data Modeler, Data Architect, or ETL Developer.
qualifications:
Experience level: Experienced
Minimum 5 years of experience
Education: Bachelors (required)
skills:
Spark
Python
jQuery
ETL
Snowflake
PowerBIEqual Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.At Randstad Digital, we welcome people of all abilities and want to ensure that our hiring and interview process meets the needs of all applicants. If you require a reasonable accommodation to make your application or interview experience a great one, please contact HRsupport@randstadusa.com.Pay offered to a successful candidate will be based on several factors including the candidate's education, work experience, work location, specific job duties, certifications, etc. In addition, Randstad Digital offers a comprehensive benefits package, including health, an incentive and recognition program, and 401K contribution (all benefits are based on eligibility).This posting is open for thirty (30) days.
