Data Engineer Need Senior Candidate

Title: Data Engineer Need Senior Candidate
Location:  Cupertino, CA-(Hybrid 3 days On-Site and 2 days Remote) Need Local candidates only
Duration: 12+ Months with possible extension
Note: Please share the candidate's Resume along with the LinkedIn URL

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.

Additional Requirements:
•    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)