Senior Big Data Engineerother related Employment listings - Myrtle Point, OR at Geebo

Senior Big Data Engineer

Overview Join our growing team! A Place for Mom is a mission driven transformational company, helping families with Senior Living options. We are looking for talented individuals who want to quickly have an impact on our business Come join our growing team! A Place for Mom is an online platform connecting families searching for senior care services with a team of experienced advisors providing insight-driven and personalized solutions. Our mission, as the leader in senior care advisory, is to be a trusted destination for families and our community customers. We are a quickly growing organization with over 500 advisors connecting more than 300K families every year to one of our community customers. Living by our values and working to achieve excellence on behalf of our customers is integral to success at A Place for Mom. Employees who thrive at A Place for Mom live our values every day and are an important part of our hiring practices:
Focus on Excellence Act with Integrity & Assume Positive Intent Drive Outcomes Every Day with Passion and A Sense of Mission Make the Lives of our Families and Customers Better, Easier and More Successful Realize the Full Potential in Each Team Member. Work as a Single Supportive Team A Place for Mom employees over 850 people nationwide with plans to continue to expand into the future. We currently have offices located in Seattle, New York, and Naples and will soon be opening our office in Kansas City. We offer competitive compensation and benefit packages along with Paid time off, paid holidays and 401K with a match. We are committed to our employees career development growth and promotion within the organization. If you are a results oriented, passionate and collaborative team player looking for a company with a bright future we would love to talk to you. Company leader Larry Kutscher - Chief Executive Officer Larry Kutscher is Chief Executive Officer of A Place for Mom. Larry is a veteran CEO with over 30 years of experience leading digital, technology and service businesses through significant periods of growth and value creation. Prior to this role, he served as Chief Executive Officer of TravelClick, where he drove the company's overall strategic vision and helped increased the company's value from approximately $300 million to more than $1.5 billion over eight years. The position Do you want a highly impactful role within fast growing team? Are you passionate about driving business value with products that deliver an awesome customer experience? The APFM technology team is looking for a Sr. Big Data Engineer who will focus on building company's data lake using Databricks and AWS. In this role you will work with a team of developers, scrum masters, and business analysts in an agile environment. You will create and enhance user-friendly, highly available Big Data Platform. You will participate in the entire software development lifecycle, including:
working with various departments on requirements gathering, translating business requirements into detailed system and technical requirements, functional and technical design, development, testing, deployment, and support. You will contribute to all data management aspects, including data governance, data quality management, master data management, enterprise data integration by analyzing raw data, writing ETL pipelines in SQL, Python, and Spark, and solving data issues as they arise during development and after deployment. Who you are Have 5
Years of Apache Spark development experience (PySpark, Python, SQL). Share a strong passion for new technologies and driving innovation. Deliver high quality, production ready code, this is a high priority for you. Eager to always learn new technologies and expand your skillset. A creative and inventive software development expert. Responsibilities What you will do Hands-on software development in Python, SQL, Apache Spark. Design and build high scale, near real time and batch data processing pipelines. Partner with your peers in Product, Design, Scrum framework, and technology to develop our next generation data platform. Create and maintain technical documentation. Guide and deliver meaningful and thorough code reviews. Ensure performance, quality, and accuracy of our data. Qualifications Required skills and competencies Strong hands on experience in Python, SQL, and Spark Experience in Databricks, Delta Lake, Parquet, Hive, PySpark, and Spark SQL Proficient in one or more environments:
Linux, Windows, and/or iOS Experience in AWS:
S3 / EMR / Lambda #LI-KT1 #LI-REMOTE #LI-KT1
Salary Range:
$80K -- $100K
Minimum Qualification
Data Science & Machine LearningEstimated Salary: $20 to $28 per hour based on qualifications.

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