Principal Analytics Data Engineer
Company: ADP
Location: Miami
Posted on: May 27, 2023
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Job Description:
ADP is hiring a Principal Analytics Data Engineer for our newly
formed HR Outsourcing (HRO) Data and Analytics organization. The
Principal Analytics 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.
Like what you see? Apply now!
Learn more about ADP at tech.adp.com/careers
Learn more about Client Services at ADP :
https://adp.careers/Client_Services_Videos
A little about ADP: We are a global leader in HR technology,
offering the latest AI and machine learning-enhanced payroll, tax,
HR, benefits, and much more. We believe our people make all the
difference in cultivating an inclusive, down-to-earth culture that
welcomes ideas, encourages innovation, and values belonging. ADP
has a deep commitment to diversity, equity, and inclusion as a
global Best Places to Work, DiversityInc - Top 50 Company, Best CEO
and company for women, LGBTQ+, multicultural talent, and more.
Learn more about ADP's commitment on our YouTube channel:
http://adp.careers/DEI_Videos
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 traceable from 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.
What are you waiting for? Apply today!
Find out why people come to ADP and why they stay:
https://youtu.be/ODb8lxBrxrY
(ADA version: https://youtu.be/IQjUCA8SOoA )
#LI-PP1
Explore our COVID-19 page https://tech.adp.com/covid19/ to
understand how ADP is approaching safety, travel, the hiring
interview process, and more.
Diversity, Equity, Inclusion & Equal Employment Opportunity at ADP:
ADP affirms that inequality is detrimental to our associates, our
clients, and the communities we serve. Our goal is to impact
lasting change through our actions. Together, we unite for equality
and equity. ADP is committed to equal employment opportunities
regardless of any protected characteristic, including race, color,
genetic information, creed, national origin, religion, sex,
affectional or sexual orientation, gender identity or expression,
lawful alien status, ancestry, age, marital status, or protected
veteran status and will not discriminate against anyone on the
basis of a disability. We support an inclusive workplace where
associates excel based on personal merit, qualifications,
experience, ability, and job performance.
Ethics at ADP: ADP has a long, proud history of conducting business
with the highest ethical standards and full compliance with all
applicable laws. We also expect our people to uphold our values
with the highest level of integrity and behave in a manner that
fosters an honest and respectful workplace. Click
https://jobs.adp.com/life-at-adp/ to learn more about ADP's culture
and our full set of values.
Keywords: ADP, Miami , Principal Analytics Data Engineer, Education / Teaching , Miami, Florida
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