Sr. Data Engineer

Ursus, Inc.

Fremont, CA

JOB DETAILS
SALARY
$60–$65 Per Hour
SKILLS
Accounting, Apache Kafka, Auditing, Banking Services, Best Practices, Business Support, Business Transformation, Coding Standards, Communication Skills, Computer Programming, Consulting, Data Management, Data Modeling, Data Visualization Tools, Data Warehousing, Database Extract Transform and Load (ETL), Database Report Tools, Dimensional Modeling, Distributed Computing, Documentation, Finance, Financial Compliance, Financial Reporting, Forecasting, Hyperion, IBM Cognos, Identify Issues, Informatica, Java, Looker, Manufacturing, Microsoft SQL Server, MySQL, OLAP (OnLine Analytical Processing), Open Source, Oracle, Power BI, Problem Solving Skills, Process Improvement, Project Design, Project/Program Management, Python Programming/Scripting Language, Relational Databases (RDBMS), Reverse Engineering, SQL (Structured Query Language), SQL Server Analysis Services (SSAS), SQL Server Integration Services (SSIS), SQL Server Reporting Services (SSRS), Sarbanes-Oxley Act (SOX), Scripting (Scripting Languages), Star Schema, Tableau, Technical Delivery
LOCATION
Fremont, CA
POSTED
24 days ago

JOB TITLE: Sr. Data Engineer
LOCATION: Fremont, CA
DURATION: 6+ Month Contract to Hire
RATE RANGE: $60-65/hour

POSITION SUMMARY:


We are looking for a Sr. Data Engineer (5+ yrs. of experience) that will be focusing on providing automations and data solutions to Finance and Accounting teams. They will be crucial to support various initiatives such as Accounting Reporting, Analytics, Financial Forecasting and many more. They will make sure to support business teams using various technologies and tools based on needs of the projects. They will be able to handle projects end to end while effectively assuming multiple roles throughout the process. They would be comfortable collaborating with both business and technical teams to deliver automated data driven projects. This position involves designing and creating ETL pipelines, Data Models, developing Analytics and Reporting solutions.


RESPONSIBILITIES:
  • Design and implement automated data solutions to support various business teams such as Manufacturing, Accounting and Finance
  • Own and manage projects from design to production, maintain relationship with stakeholders and collaborate with both business and technical teams to satisfy business needs
  • Write, maintain and optimize scripts, processes and jobs that will be used by analytics and reporting solutions
  • Build, manage and optimize scalable ETL pipelines using multiple sources apply transformation as per business needs and load data into data warehouse
  • Design and refine data models by following best practices and techniques using most effective approaches for reporting and analytics such as star schema
  • Identify slow-running processes and bottlenecks, troubleshoot problems, research and resolve issues
  • Stay up to date with latest trends in data engineering, experiment with new tools, services, technologies and real-time processing frameworks
  • Reverse engineer existing projects or products in use and always look for improvements in processes preferably with open-source technologies
  • Collaborate with auditor and compliance teams to ensure that data solutions are in compliance with sox requirements especially on accounting and finance related projects
  • Set high technical bar not just for yourself but for entire team, leading by example in coding standards, documentation and best practices

QUALIFICATIONS:
  • Very strong SQL skills and very good understanding of relational databases (SQL Server, MySQL, Oracle, Vertica, etc.)
  • Data warehousing experience, good understanding of data modeling, dimensional modeling, working experience with large scale data
  • Programming skills with Python , Java or similar
  • Good understanding of open-source distributed systems technologies such as Kafka, Spark
  • Expertise in scalable ETL and data pipelines and tools such as (SSIS, Informatica, Airflow, Luigi or similar)
  • Knowledge of OLAP databases and tools (SSAS, Hyperion, Cognos etc.)
  • Experience with Reporting and data visualization tools (SSRS, PowerBI, Tableau, Looker or similar)
  • Excellent communication skills and able to effectively communicate and collaborate with both technical and business teams (such as manufacturing, compliance, finance and accounting)
  • Having background in Accounting, Finance, Banking or similar industry is nice to have but not a necessity

BENEFITS SUMMARY: Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate or annual salary only, unless otherwise stated. In addition to base compensation, full-time roles are eligible for Medical, Dental, Vision, Commuter and 401K benefits with company matching.

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About the Company

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Ursus, Inc.