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SalaryAudubon is currently seeking a Data Engineer to join our team in our Canonsburg, PA Office. As the Data Engineer and front-end visualization developer at Audubon, you will play a crucial role in designing, developing, and maintaining data solutions that empower data-driven decision making across Commercial and Asset Management teams. You will be responsible for the delivery of end-to-end data platform pipelines and front-end analytics capabilities. The Data Engineer shall also possess the ability to skillfully communicate with developers, architects, and business stakeholders.
PRIMARY RESPONSIBILITIES:
- Proven experience in working with relational, data warehouse databases, query authoring (SQL), as well as working familiarity with a variety of databases. Experience/Knowledge in working with NoSQL databases and ability to create E2E pipelines.
- Proven experience in working on any one of the Data Engineering technologies, including but not limited to, ADLS, ADF, Azure Databricks, Azure SQL, and/or SAP HANA.
- Advanced knowledge of any one of the higher-level scripting languages: Python, SQL, Spark-SQL/ PySpark.
- Established proficiency with Python libraries: Numpy, Panda, Django, etc.
- Advanced knowledge in data visualization tools: Power BI, Power Apps, Power Automate, and Azure Analysis Services.
- Experience with source control technologies (GitHub, Azure DevOps, etc.).
- Experience working with Agile, Kanban, and other workflow methodologies.
- Advanced knowledge of authoring and troubleshooting SQL queries.
- Highly Experienced in building and optimizing complex queries.
- Experience with data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc.
- Proficient with advanced scripting.
- Proficient with manipulating, processing, and extracting value from large and disconnected datasets.
- Excellent understanding in Data Foundation initiatives, including Modelling, Data Quality Management, Data Governance, Data Maturity Assessments, and Data Strategy in support of the key business stakeholders.
EXPERIENCE AND SKILL REQUIREMENTS:
- Bachelor's Degree in Engineering, MIS, Computer Information Systems, Computer Science, Data Analytics, or Data Science, preferably from an ABET accredited institution.
- Minimum 7+ years in a technical leadership or contractual role with hands on experience with Data Engineering.
- Ability to execute and lead multiple projects or large initiatives simultaneously.
- Ability to generate and maintain a schedule for projects and initiatives.
- Understands many other aspects of business analytics, data acquisition, and how to optimize presentation for stakeholders.
- Ability to create or enhance CI/CD builds to release pipelines.
- Ability to independently find a solution for, or to deal proactively with, work related problems.
- Ability to comprehend instructions and request clarification as necessary.
- Ability to lead in a team oriented environment.
- Excellent grammar, punctuation, and etiquette desired.
- Willingness to learn new platforms and new technologies.
- Must be very organized, detail oriented, with the ability to identify outliers quickly.
- Must be self-motivated, innovative, and adept in championing new initiatives in order to drive those initiatives to finality.
- Ability to follow and perform work in accordance with company and customer HSE policy.
No Recruiters, please!
Equal Opportunity Employer/Veterans/Disabled
