theetrain
commented
2 years ago Closing because issue title does not follow required format: [Company Name] - [Job Title] - [Location].
Closed StartupWhisperer closed 2 years ago
theetrain
commented
2 years ago Closing because issue title does not follow required format: [Company Name] - [Job Title] - [Location].
What You'll get
Salary Expectation
Benefits
Remote regional USA - the Data Engineer-Analyst must reside in one of the following states, due to quarterly meeting in Pasadena, CA)
ALABAMA - ARIZONA - CALIFORNIA - COLORADO - CONNECTICUT - GEORGIA - MARYLAND MICHIGAN - MISSOURI - NEVADA - NEW JERSEY - NORTH CAROLINA - TEXAS - VIRGINIA - WASHINGTON - WISCONSIN
What You'll Do (Job Description)
We are looking for a Data Engineer Analyst to join our team and help build our Next Generation customer data management, analytics, and ML platform. This role will work as part of the larger data science and analytics team to build and maintain business-critical data pipelines and infrastructure.
Design and build maintainable and scalable infrastructure for data extraction, preparation, and loading data from backend services and web browser clients to our data lake and other reporting databases.
Build and manage tools to monitor pipeline performance and provide deeper insight into pipeline metrics.
Monitor data pipelines and services for issues and ensure identified bugs are routed and resolved.
Work with large, complex SQL and NoSQL databases.
Create and maintain technical documentation and write well-abstracted, reusable, and efficient code.
What You Need to Be Successful (Skills)
Must Have
BS in Computer Science, Information Systems, or equivalent skills and experience
Minimum 2+ years of experience in data engineering or software development
Strong competency in SQL and Python programming
Experience with AWS eco-system and working with services like EMR, RDS, Redshift, Kinesis, etc.
Experience working with large data sets in a Hadoop or Spark environment
Strong organizational skills and detail-oriented mindset
Nice to have in addition to the above
5+ years of experience in backend software development
Strong Ruby and/or Java programming skills
Experience with and understanding of ETL tools
Understanding of event data collection tools like Segment Tealium, mParticle, etc.
Relevant Experiences
Software development experience in addition to the above
Company overview
Our client is a people search engine that both enlightens and empowers our customers. With over 12 billion records and 14 million visitors per month, we reconnect friends, reunite families, prevent fraud, and more.
We are looking for a Data Engineer, Analytics to join our team and help build our Next Generation customer data management, analytics, and ML platform.
This role will work as part of the larger data science and analytics team to build and maintain business-critical data pipelines and infrastructure.
COMPANY CULTURE
Great opportunity for someone looking to be a larger fish in a smaller pond where their suggestions will be listened to and implemented. Have you voice heard!
We support and encourage and learning and growth environment.
We’ve assembled experienced leaders from various industries to lead our teams and build impactful products and services.
From aiding individual volunteers and nonprofit organizations, to employee donations, we are committed to connecting and assisting people through our technology.
We hold ourselves to the following values and beliefs so that we can achieve data and cultural transparency.
Listen with empathy, understand the why, clarify with data, Innovate to learn, collaborate to achieve, insist on quality.
How to apply
Please send an email to [hunt@empireheadhunters.com) with your updated and correctly formatted resume, and a brief cover letter detailing why you feel that you are the best fit for this role - use 'Data Engineer/Analyst applicant TM' as subject line. PLEASE NOTE - applicants must be a US citizen. H1B with minimum 2 years left will be considered if fully qualified. This is a high priority role.