Sr. Lead Analytical Data Engineer
ADP is hiring a Sr. Lead Analytical Data Engineer for our newly formed HR Outsourcing (HRO) Data and Analytics organization. The Sr. Lead Analytical Data Engineer will play a key role in growing our newest chapter of analytics engineering professionals while interacting with cross-functional teams to address complex business requirements. We're seeking a value seeking, self-motivated, and analytical profession who act as a player and coach to multiple workstreams at the same time. The role demands the individual to possess technical skills required to perform the job in an effective manner. The right candidate will be a technical expert, should have the passion for data & analytics and works along with the team they manage.
What Are We Looking For?
An analytics and data engineering professional with a passion and track record for designing analytics and delivery methods to increase accuracy of reporting and advanced analytics in an agile environment to unlock transformational growth. Someone with intellectual curiosity who wakes up excited to work with a team towards excellence and partner with leaders to drive business outcomes and deliver analytical solutions. The ideal candidate is business-minded, customer-centric, team-oriented, self-motivated, a strategic thinker and results-driven.
Behaviors :
- Your role involves creating the foundational data layer for HRO, making high quality data available for every user of our platform, but especially for data science and business intelligence applications and business analysts.
- Support the enhancement of our data landscape. As a seasoned data engineer, you strive to contribute to the growth of the team and your own skills. You actively seek opportunities to share your knowledge and collaborate effectively with your colleagues to maintain a high level of productivity.
- Customer-focused. You align data development with business objectives, working closely with key stakeholders in the business and analytics functions to collectively build valuable data.
- Effective Communicator. You possess strong communication skills, both written and verbal, enabling you to convey data-related information to various team members and leadership. Your ability to articulate working plans and priorities within the team is an asset.
- Deliver Results. You are proactive and hands-on, addressing potential issues and ensuring that tasks are completed with attention to detail. The end product you and your team produce is of high quality and thoroughly polished.
- Continuous Improvement. You are committed to documenting existing analytics and automation processes and suggesting and implementing best practices to enhance efficiency and optimization.
- Problem Solving. You are ready to tackle challenges as they arise and find effective solutions to overcome them.
Responsibilities :
Strategic Data Solution Development : Support the development of foundational data with a strategic outlook, focusing on the broader scope of building and enhancing domains within the semantic layer of HRO.Documentation and Best Practices : Catalog existing analytics and automation processes and provide recommendations for best practice methods to optimize and improve these processes.Collaborative Stakeholder Engagement : Collaborate closely with the Business Transformation & Data Analytics Leadership to execute project plans within a fast-paced agile development environment.Data Engineering Expertise : Create foundational data by skillfully engineering critical elements from multiple data sources. Ensure the ingestion of HRO-specific data is well-structured, compliant with data quality standards, and traceable from the consumption layer back to the raw data layer.Strategic Integration and Security : Partner with the Data Operations, Data Governance and Business Intelligence and Data Science teams to streamline data integration, maintain data security, and access best practices.Technological Advancement : Conduct thorough research to identify and recommend cutting-edge technologies and processes that support rapid scaling and future growth initiatives.Prioritization and Delivery : Assist the team in prioritizing business needs, leadership questions, and ad hoc requests to ensure on-time delivery and alignment with organizational goals.Quality Assurance : Take the lead in driving quality assurance and data quality efforts to enhance development timelines, reduce bugs, and maintain the reliability of our data products.Iterative Development : Bring your experience in developing v0.5 solutions, incorporating real-world feedback, and iterating to v1.0+ with a continuous improvement mindset.Exceptional Delivery : Leverage your successful track record of superior delivery and change management within an enterprise organization to drive positive change and growth.To Succeed In This Role :
Educational Background : Possess a bachelor's degree in computer science, engineering, business, statistics, or related fields; advanced degrees are preferred but not mandatory.Experience : Demonstrate a strong foundation in data analytics, engineering, and project management with a minimum of 10 years of hands-on experience in the implementation, development, improvement, and support of data-related projects.Matrix Organization Experience : 3+ years of experience working in a matrix organization, where you have a product / pod leadership directing the team to achieve use case goals.Data Expertise : Exhibit deep experience with ETL (Extract, Transform, Load), Data Modeling, and Data Architecture, highlighting your ability to design and maintain data solutions.Problem-Solving Aptitude : Prove your ability to lead a team in leveraging data, analytics, and business acumen to address intricate business challenges.Data Platform Experience : Possess hands-on experience with DataBricks, and technologies such as Hadoop, Spark. Demonstrate expertise in managing data housed in various relational databases.Data Pipeline Proficiency : Showcase your competence in building data pipelines and deploying / maintaining them using tools like Git and Jenkins.Data Analytics Skills : Demonstrate experience and expertise in data mining methods, data modeling, and working with data warehouses, showcasing your ability to extract valuable insights.Technical Skills : Exhibit mastery in Pyspark and SQL, as well as an under