Job Location: Camden, NJ
With a history dating back to 1886, American Water is the largest and most geographically diverse U.S. publicly traded water and wastewater utility company. The company employs more than 6,400 dedicated professionals who provide regulated and market-based drinking water, wastewater and other related services to more than 14 million people in 24 states. American Water provides safe, clean, affordable and reliable water services to our customers to make sure we keep their lives flowing.
Our teams are committed to customer service, operational excellence and delivering high-quality, reliable drinking water and other water-related management services.
Our primary business involves the ownership of water and wastewater utilities that provide water and wastewater services to residential, commercial and industrial customers, treating and delivering more than 1 billion gallons of water per day.
Primary Role
The Principal Data Lake Engineer is a key resource within the Data Analytics and Data Management organization. This individual is part of a team responsible for all infrastructure and application services that underpin the enterprise data platform which, supports custom applications, dashboards, and advanced analytics. In addition to administrating the data platform’s core services, the Principal Data Lake Engineer will be responsible for developing and supporting new workflows and functionalities. The Principal Data Lake Engineer will support our application developers, database developers, data scientists, and other key stakeholders on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects. They must be self-directed and comfortable supporting the data needs of multiple teams, systems, and products. The Principal Data Lake Engineer will be responsible for expanding and optimizing our data platform architecture, as well as optimizing data flow and collection for our key stakeholders. The right candidate will be excited by the prospect of optimizing or even re-designing our company’s data architecture to support our next generation of products and data initiatives. The right candidate will have 10+ years of experience in the data space along with a mix of leadership skills and strong hands-on technical skills.Key Accountabilities
- Day to Day Support: (40%)
- Policies, Procedures and Standards: (5%)
- Technical Requirements and Design: (10%)
- Training: (10%)
- Project Requirements: (35%) Knowledge/Skills
- Experience with HADOOP, HADOOP HDFS, Ambari, Hive, Spark, Zookeper
- Experience with Cloudera Data Platform, CDP Public Cloud, CDP Private Cloud, CDP One
- Experience with the following AWS Services
- Apache Hadoop on Amazon EMR
- AWS MSK
- AWS RedShift
- AWS S3
- AWS OpenSearch
- AWS Lambda
- Amazon RDS
- Experience programming in Java, Scala, and Python
- Strong understanding of SQL and experience working with common big data technologies.
- Knowledge of NiFi and Postgres is a plus.
- Versed and experienced with the Project Lifecycle including design, build, testing, deployment, and the key touchpoints of the support team with project efforts and activities.
- Ability to mentor and institutionalize all processes related to support including incident and problem management, as well as the transition of project work to production support.
- Ability to prioritize, coordinate, and communicate work, as well as status of work.
- Over 10+ years of experience in Data Engineering, Operations Support or Database Infrastructure.
- Create technology solutions for business users by developing, implementing, and maintaining commercial off-the-shelf software solutions, internet/intranet applications, and custom developed systems.
- Assist in team development while holding teams accountable for their commitments, removing roadblocks to their work; leveraging organizational resources to improve capacity for project work; and mentoring and developing team members.
- Perform as a team of strategic, creative, and technical professionals who partner with our clients to solve business problems and meet meaningful business goals.
- Develop and/or promote technical solutions which support the business requirements within their area of expertise.
- As needed, lead the technical activity within their area of specialization.Experience/Education
- BS/MS degree in Computer Science, Engineering, MIS, or equivalent with programming experience
- 10+ years of experience in Data Engineering, Operations Support and/or Database Infrastructure. Other
- Strong interpersonal skills including mentoring, coaching, collaborating, and team building.
- Knowledge and understanding of business needs with the ability to establish/maintain high level of customer trust and confidence.
- Excellent decision-making ability, balancing what is right with what is realistic.
- Flexibility to adjust to multiple demands, shifting priorities, ambiguity, and rapid change.
- Possess a high energy level, sense of urgency, decisiveness, and an ability to work well under pressure.
- Possess a curiosity and a passion towards engaging the imagination of line of business leaders in grasping and enabling the fundamentals of change.
- Demonstrated ability to work and team with a multitude of different people from various lines of business.CompetenciesChampions safetyCollaboratesCultivates innovationCustomer obsessedDrives ResultsNimble learning
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