Principal Data Engineer

2 days ago

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Exactera

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Easy-to-use corporate tax compliance software for transfer pricing, tax provision and R&D tax credit

Transfer pricing • Income tax provision • R&D tax credit • Corporate tax compliance solutions

51 - 200

Description

We are seeking an experienced data technologist for the role of Principal Data Engineer with a strong background in building reliable and distributed data systems across the public cloud. In this role, you'll be instrumental in overseeing and developing data platforms for Exactera and an opportunity to build next-generation ETL pipelines across a diverse range of domains, including relational databases, data pipelines, multi-region data availability, data lakes, BI, and data-driven machine learning opportunities. Joining our fast-paced, dynamic team of experts, you will contribute to the development of scalable enterprise platforms in AWS. As a Principal Data Engineer, you will champion best practices and a well-architected approach to implementing cloud data solutions, covering industry-leading open source and cloud services such as observability, dataOps, data application deployments, Spark, Python, and other application and platform management technologies. Collaborating closely with our Engineering and Product teams, you will engineer, implement, and configure the full stack for data applications, while also influencing the architectural direction of cloud and data platform capabilities in alignment with the organization's goals and standards. This role demands experience in public cloud technologies and an exceptional enthusiasm for data engineering, demonstrated through a proven track record of self-motivated accomplishments.

Requirements

8-12+ years working in data engineering, including big data, ETL, Spark/PySpark, data warehousing, and analytics application development. 8+ years of experience with query languages and database technologies. 5+ years of experience working with cloud computing platforms such as AWS. 5+ years of experience with Python and the Python ecosystem (PySpark, Pandas, DataFrames, etc.), showcasing the ability to write clean, maintainable, and robust code. Experience ingesting files (XML/CSV) and normalizing data Experience in building data pipelines in production and the ability to work across structured, semi-structured, and unstructured data. Demonstrated experience working with external data vendors and managing data partnerships. Experience with version control systems, preferably Git. Ability to work in a Linux environment. Strong knowledge of data & software engineering concepts and best practices. Experience in preparing data for analytics and following data workflows. Knowledge of systems monitoring tools in a cloud environment.

Benefits

Great team culture, career development, great compensation package and benefits, an unparalleled experience as part of one of the most advanced teams in the world.