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Tesla Sr. Data Engineer BI Accounting Finance United States, California, Fremont 115980749
10.04.2025
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What You’ll Do What You’ll Bring
- 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
- 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
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