Developer creating CAP applications on SAP BTP for various projects in Germany. Collaborate on development cycle and optimize existing solutions in a dynamic environment.
About the role
- Senior Data Engineer for tax services firm developing and maintaining cloud-based data solutions. Leading data pipeline efforts and collaborating with Agile teams for performance enhancement.
Responsibilities
- Identifying, developing, and maintaining the technologies that enable the efficient flow of data throughout the organization.
- Use a variety of programming languages and tools to develop, test, and maintain data pipelines within the Platform Reference Architecture.
- Working directly with management, product teams and practice personnel to understand their platform data requirements.
- Maintaining a positive work atmosphere by behaving and communicating in a manner that encourages productive interactions with customers, co-workers and supervisors.
- Developing and engaging with team members by creating a motivating work environment that recognizes, holds team members accountable, and rewards strong performance.
- Fostering an innovative, inclusive and diverse team environment, promoting positive team culture, encouraging collaboration and self-organization while delivering high quality solutions.
- Collaborating on an Agile team to design, develop, test, implement and support highly scalable data solutions.
- Collaborating with product teams and clients to deliver robust cloud-based data solutions that drive tax decisions and provide powerful experiences.
- Analyzing user feedback and activity and iterate to improve the services and user experience.
- Securing data in alignment with internal information and data security policies, best practices and client requirements.
- Creating and implementing robust cloud-based data solutions that scale effectively, and provide powerful experiences for both internal teams and clients.
- Performing unit tests and conducting reviews with other team members to make sure solutions and code are rigorously designed, elegantly coded and effectively tuned for performance.
Requirements
- Bachelor’s and/or Master’s degree in a related field
- 7+ years of experience developing data technologies.
- 7+ years of experience deploying ETL solutions in production environments.
- 7+ years of experience with cloud-based data services, preferably in AWS or Azure.
- 7+ years of experience developing Python, Scala, Java, .Net or similar solutions in a backend or data wrangling capacity.
- 7+ years of experience in mixed Windows/Linux environments.
- Results-proven track record of exceeding goals and evidence of the ability to consistently make good decisions through a combination of analysis, experience and judgment.
- Fluency in one or more databases, preferably relational and NoSQL is a plus.
- Experience with distributed data platforms is a plus.
- Exposure to AI/ML pipelines is preferred.
- Experience deploying, monitoring, and maintaining data pipelines in production environments.
- To perform this job successfully, an individual must have intermediate knowledge of Microsoft Project, Word, Excel, Access, PowerPoint, Outlook, and Internet navigation and research.
Benefits
- Hybrid Work Options
- Award-Winning Culture
- Generous Personal Time Off (PTO)
- 14-Weeks of 100% Paid Leave for New Parents (Adoption Included)
- Monthly Gym Membership Reimbursement OR Gym Equipment Reimbursement
- Benefits Eligibility Effective Day One
- 401K with Employer Match
- Tuition Reimbursement After One Year of Service
- Fertility Assistance Program
- Four-Week Company-Paid Sabbatical Eligibility After Five Years of Service
Job title
Job type
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Degree requirement
Tech skills
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