Tax DT and I Data Engineer -L7 Tax Product Development Description BDO Job Description Job Code: RSE614 Grade: Experinced Manager Job Tit... Tax DT and I Data Engineer -L7 Tax Product Development
Tax DT and I Data Engineer -L7 Tax Product Development Job Summary
Tax DT and I Data Engineer -L7 Tax Product Development
B.E/B.Tech Job Description
Job Code: RSE614 Grade: Experinced Manager Job Title: Lead Data Engineer I - Tax Product Development BDO Title: Lead Data Engineer - Tax Product Development Reports To Position: Associate Director Tax Product Development Department (Name / ID
: Core Tax Services 20 About BDO RISE
BDO RISE stands for round-the-clock international services for excellence and provides exceptional client services to our clients based in the US.
BDO RISE accesses the abundance of highly credentialed professionals in India across a wide range of disciplines, bringing their skills and talents to help solve the complex business issues that arise in a world that never sleeps. Our professionals operate seamlessly as part of BDO USA engagement teams, leveraging consistent best practices while accessing our global resources to deliver outstanding service and solutions for our clients. BDO RISE serves BDO USA clients across our Assurance, Tax, Advisory and BDO Digital practices. On every engagement, our India-based professionals work closely and collaboratively with US-based counterparts as one integrated team; the BDO approach is one of collective responsibility and shared recognition. We value diversity of perspectives and skills. And we recognize that in an increasingly complex world, the need for professional growth is constant. BDO is fully committed to the ongoing career development of our people with mentorship relationships, and with structured training. Job Summary
The Lead Data Engineer I, Tax Product Development, works with the Data Engineering and Integration team to develop and support BDO s Tax Data Warehouse and Tax Data Lake, manage and maintain data ingestion and Extract/Transform/Load (ETL) processes, as well as provide support for the Power BI business intelligence platform and enterprise applications supporting the tax practice.
The Lead Data Engineer builds and maintains tax data pipelines to support ad-hoc analytics and business intelligence applications as well as identify valuable development opportunities and ideas for improvement. This role collaborates closely with the data analytics teams to design, develop, and deploy new solutions that support strategic business priorities.
Job Duties
- Owns end-to-end delivery of large features and systems, defining technical requirements and architecture for data processing and integration solutions
- Leads design and implementation of major data structures and pipelines within an Agile team focused on data engineering solutions
- Designs, develops, and tests data products, pipelines, and solutions using web and cloud technologies for innovative data processing and analytics
- Applies modern software engineering principles throughout the software lifecycle for data-related applications, including ETL/ELT processes and database systems
- Reviews business requirements for technical feasibility, and collaborates with various teams, including internal developers and external peers, to deliver quality data integration solutions
- Mentors junior engineers to enhance code quality and ensure compliance with standards in data pipeline and analytics platform development
- Maintains data products and platforms based on product roadmaps, production support processes, and compliance with IT, security, and business mandates, ensuring data consistency, integrity, and scalability
- Effectively communicates with stakeholders and cross functional teams such as technical architects and security teams and others
- Other duties as required
Supervisory Responsibilities:
- Acts as a direct supervisor to team members, as assigned
- Acts as a career advisor, as assigned
Qualifications, Knowledge, Skills, and Abilities:
Education:
- Bachelors degree required, with a focus in Computer Science, Technology, Engineering, Mathematics (STEM), Finance, or Accounting, preferred
Experience:
- Six (6) or more years of experience in SQL, including complex queries, optimization, and performance tuning, with advanced expertise in Python for data manipulation, analysis, and automation tasks, required
- Six (6) or more years of experience in Data Definition Language (DDL), Data Manipulation Language (DML), and developing views, functions, and stored procedures, required
- Six (6) or more years of experience in Data Warehousing, Data Modeling, Semantic Model Definition, and Star Schema Construction, required
- Six (6) or more years of experience in one or more programming languages such as Java, C#, C++, or Scala, with a focus on data engineering applications, required
- Experience with tabular modeling within Power BI or Azure Analysis Services for efficient data representation and querying, with foundational knowledge of Power BI for creating interactive dashboards, preferred
- Hands-on experience delivering end-to-end cloud data analytics solutions within Azure, utilizing various Azure Data Services such as Azure Data Factory, Azure Databricks, and Azure Synapse Analytics, preferred
- Proficient in using Git for version control and familiar with DevOps deployment technologies to streamline development and deployment processes, preferred
- Experience with AI Algorithms and Machine Learning, including the use of automation tools such as Azure Data Factory, Azure Databricks, and Alteryx, preferred
- Familiarity with big data formats such as Parquet, Avro, and ORC, enhancing the ability to efficiently handle and process large datasets, along with experience in tax and/or accounting data to work with industry-specific datasets, preferred
License/Certifications:
- Microsoft Azure Data Engineer, preferred
Software:
- Experience with the following products, preferred:
- Microsoft Office Suite
- Microsoft Azure DevOps or GitHub
- Microsoft SQL Server and/or Azure SQL DB
Language:
Other Knowledge, Skills, & Abilities:
- Ability to work well in hybrid and remote environments
- Solid verbal and written communication skills
- Strong interpersonal and customer relationship skills, including training/instruction with professionals at all levels
- Sound decision-making skills
- Ability to work in a deadline-driven environment while handling multiple complex projects/tasks simultaneously with a focus on details
- Capable of successfully multi-tasking while working independently or within a group environment
- Ability to rely on extensive experience and judgment to plan and accomplish goals
- Capable of working well under pressure while dealing with unexpected problems in a professional manner
- Ability to communicate and interact with all levels of employees and management
