Principal Analytics Data Engineer

Key Skills

Aartificial intelligence, Apache Cassandra, Apache Hadoop, AWS, Data Mining, Data Modeling, Data science techniques, Data Visualization, Database, ETL frameworks, Github, HBase, Jenkins, JIRA, Machine learning techniques, MongoDB, NoSQL, PySpark, R-Shiny, SPARK Programming, SQL, Tableau

Job Description

 WHAT YOU’LL DO:

Behaviors:

• Lead workstreams that thrive. As an experienced leader, you want everyone to shine. You are constantly looking for ways to share your knowledge, motivate others, and keep everyone engaged and productive.
• Customer focused. You marry data strategy to business strategy. A trusted partner to key stakeholders across business and analytics functions who understands how data can be activated to deliver value. Your teams are responsible for democratizing data for data science and advanced applications.
• Clear Communicator. Ability to tell data stories to senior leaders and communicate working plans to the team. Excellent communication skills, both verbal and written; able to communicate effectively with multiple leadership layers and across a broad base of team members. Effective at increasingly complex stakeholder alignment, where priorities often compete, drives transparency on priorities and expected return
• Create Results. You’re proactive and hands-on when need.  When you see a potential issue, you never leave things hanging and unfinished. When you and your team deliver a finished product, it’s as polished as you could make it.
• Variety of work. There is no typical day.  You could be checking in with the CDO one minute, meeting with leadership to review initiatives for the coming quarter later and tomorrow helping your team overcome blockers.
• Influence and inspire confidence. You are comfortable presenting to senior leaders, analytics and program management leads, and peers with a compelling voice that you demonstrate through executive presence, leading change, and creating clear executive-level communications on milestone achievements.
• Continuous improvement. Document current analytics and automation processes and recommend and implement best practices to improve and optimize.
• Challenges. Inevitable challenges will arise, and we’ll rely on you to look for a solution.

Responsibilities:

• Catalog current analytics and automation processes and recommend best practice methods for improvement and optimization
• Partner with Analytics, Data Product, and Business stakeholders to create roadmaps and execute project plans in fast-paced agile development environment
• Create use-case specific data tables by joining and engineering critical elements across multiple data domains. Ingests HRO-specific data, ensuring it is well-structured, adheres to data quality rules, and traceablefrom consumption layer back to raw layer.
• Partner with the Advanced Analytics and Strategic Operations to streamline data integration, maintain security and access best practices, and create end-to-end data analytics solutions
• Mentor more junior team members that will work in matrix pod to support advanced analytics initiative
• Research and recommend technologies and processes to support rapid scale and future state growth initiatives
• Help your team prioritize Business Needs, Leadership Questions, and Ad Hoc Requests for on-time delivery
• Manage workstream leadership reporting, and continuous improvement initiatives
• Drive QA and Data Quality efforts to improve development timelines, reduce bugs, and maintain reliable analytics products
• Support projects that improve our performance (e.g. Retention & Future of Work): aligning with product strategy and understanding stakeholder requirements
• Experienced getting to a v0.5 solution, getting real world feedback, and then iterating to v1.0+ with a continuous improvement mindset
• Successful track record of superior service delivery and change management in an enterprise organization

 To succeed in this role:

• Bachelor’s degree in computer science, engineering, business, statistics, or related fields; advanced degree preferred
• At least 8-10 years of experience with analytics, engineering and leading implementation, development, improvement and support projects
• 3+ years in team lead role
• Work experience with ETL, Data Modelling and Data Architecture
• Preferably working in PEO, Service, or Risk analytics, data engineering, data analytics and visualization, business intelligence, or analytical consulting
• Proven ability to guide team to use data, analytics, and business knowledge to solve complex business problems
• Experience with designing and maintaining data warehouses and/or data lakes with big data technologies like Hadoop, Spark, or distributed databases like Redshift and Snowflake, and experience with housing, accessing, and transforming data in a variety of relational databases
• Experience in building data pipelines and deploying / maintaining them with tools like Git and Jenkins
• Knowledge with MLOps infrastructure (e.g., Databricks, MLflow) and containerization and managing production pipelines and microservices (e.g., Docker, Kubernetes)
• Experience and skill with data mining methods, data modeling, and working with data warehouses
• Pyspark and SQL expertise
• Understanding of agile methodologies and what makes teams successful

A college degree is great but not required. What’s more important is having the skills to do the job. If you don’t have a college degree, other acceptable experiences could include:

Experience noted above, OR

Military experience where skills including teamwork, adaptability, organization, and follow-through will help you build team and client relationships, identify solutions, and achieve success.

 Preferred Qualifications

• Advanced degree (Masters) in Software engineering, Data engineering, Computer Science, or other data management and data visualization disciplines. MBA. 
• Hands-on experience on Bigdata Technologies like Apache Spark , Hive, Hadoop
• Experience with developing frameworks and utility services including logging/monitoring 
• Strong technical knowledge of DataBricks 
• Knowledge of UNIX/Python programming language. 
• Experience delivering high quality software following continuous delivery and using code quality tools (JIRA,GitHub, Jenkin, Sonar, etc.). 
• Experience creating large-scale, multi-tiered, distributed applications with Hadoop and ETL tool like Abinitio 
• Comfortable in Windows and Linux environments. 
• Comfortable with different data storage solutions such as RDMBS(Oracle), Hive, HBase, Impala etc. 
• Knowledge on NOSQL Databases like MongoDB, Hbase, Cassandra etc is a plus. 
• Jira and Confluence preferred
• Nice to have data solutions architect experience
• Knowledge with dashboarding tools (e.g., Dash, Shiny, Tableau)
• Experience with cloud database technologies (e.g., AWS) and developing solutions on cloud computing services and infrastructure in the data and analytics space
• Comfortable using PySpark APIs to perform advanced data transformations

YOU’LL LOVE WORKING HERE BECAUSE YOU CAN:

• Have courageous team collaboration. Courage comes from how associates are willing to have difficult conversations, speak up, be an owner, and challenge one another’s ideas to net out the best solution.
• Deliver at epic scale. We deliver real user outcomes using strong judgment and good instincts. We’re obsessed with the art of achieving simplicity with a focus on client happiness and productivity.
• Be surrounded by curious learners. We align ourselves with other smart people in an environment where we grow and elevate one another to the next level. We encourage our associates to listen, stay agile, and learn from mistakes.
• Act like an owner & doer. Mission-driven and committed to leading change, you will be encouraged to take on any challenge and solve complex problems. No tasks are beneath or too great for us. We are hands-on and willing to master our craft.
• Give back to others. Always do the right thing for our clients and our community and humbly give back to the community where we live and work. Support our associates in times of need through ADP’s Philanthropic Foundation.
• Join a company committed to equality and equity. Our goal is to impact lasting change through our actions.