What are the responsibilities and job description for the Data Engineer-Cupertino, CA—(Hybrid 3 days On-Site and 2 days Remote) Need Local candidates only position at Jobs via Dice?
Title: Data Engineer
Location: Cupertino, CA—(Hybrid 3 days On-Site and 2 days Remote) Need Local candidates only
Type of Hire: Contract 6- 12 months
Job Description
Key Qualifications:
Location: Cupertino, CA—(Hybrid 3 days On-Site and 2 days Remote) Need Local candidates only
Type of Hire: Contract 6- 12 months
Job Description
Key Qualifications:
- Strong proficiency in databases, data visualization and reporting tools such as Oracle, MySQL, SQL Server, Snowflake, Tableau, Business Objects, ThoughtSpot and others.
- Hands-on experience with querying of data and creating data sources to provide analysis and present data to the customers.
- Experienced in data driven approach, implement techniques for data reconciliation in systems with high frequency loads and business critical environments.
- Experience working in Legal domain, understanding of business and practice of law, terminology, and operations.
- Strong data analysis skills along with experience in detailed analysis of source systems, data profiling, measures and KPI definitions.
- Ability to collaborate with business partners within legal and engineering departments on business requirements, system design, data insights, user testing, and product launches.
- Collaboration skills to work with multidisciplinary teams consisting of lawyers, paralegals, and other professionals.
- Understanding of legal and ethical considerations of handling confidential information and maintaining data privacy and security.
- Analytical and problem-solving skills, adept at troubleshooting technical issues related to reporting & data visualization products (e.g. Business Objects and Tableau)
- Understand data visualization principles and best practices, capable of translating sophisticated data into compelling visual stories.
- Should have excellent communication and collaborative skills. Ability to interpret technical lingo to end users.
- Proven track record to excel in a fast-paced agile development team.
- Strong sense of execution and accountability for the overall success of the program.
- Experience using AI/ML for data reconciliation, integrity, integrations, and data insights.
- Experience using TeamConnect or any Legal application is a plus.
- Experience spearheading adoption of Data Management Office (DMO) principles is a plus.
- Understanding of data security and access control best practices.
- Experience in large scale and complex Data Migration projects.
- Understanding of Dimensional Modeling and Data Warehousing concepts.
- Knowledge of data engineering concepts and ETL processes.
- Experience in project collaboration products such as Jira, Quip, Miro, Box
- Experience with a scripting language for data processing and development (e.g., Python, R)