Sr Engineer Data Engineering - US Based Remote
What if we could take the search out of job search? This is the question
Lensa has been answering since launching in San Francisco, California in
August 2016. Using machine learning, we instantly provide companies with
candidates and match professionals with positions that fit their skills,
goals, personalities, and needs.
How does it work? Lensa applies complex algorithms that identify the
skills needed to succeed on a given job. Candidates can play computer
games that assess their work style, thus gaining insight into their strengths
while unlocking career opportunities.
The result: job search that puts people first while reducing the time and
cost of talent acquisition.
Lensa passed 10 million job seeker registrations in 2019, making the com-
pany one of the premier career platforms.
With teams in multiple U.S. locations and a 60-strong crew of developers
and data scientists at its R & D headquarters in Europe, Lensa is working
every day to share its transformative career technology with the world.
Job Description
About The Role
We're seeking a talented, creative, and motivated Senior Data Engineer who loves to build data platform tools and is ready to work with a team of individuals who share your passion. With a related degree under your belt--and relevant experience--you’re ready to take your programming and data knowledge to the next level. You enjoy building tools such as Data Ingestion Service to ingest data from diverse sources to Data Platform, building tools for monitoring & observability. With your unwavering commitment to quality, excellent data/cloud skills, and collaborative work ethic, you’ll do great things here at Anywhere
What You’ll Do
- You’ll work with other Data Engineers for the build-out of the Next Generation Data Platform.
- You’ll collaborate with various teams to provide guidance on best practices for utilizing the Cloud Data Platform.
- You’ll be working on latest Cloud Data Warehouse Platform (Snowflake) and developing Data Marts using Python and SQL.
- You’ll work with the team to design and develop a Data Catalog Service using Snowflake Horizon and Polaris.
- You’ll work with the team to design and develop Data Observability using DataDog and Data Recon to detect data anomalies.
- You will design and develop a CI/CD process for continuous delivery in AWS Cloud and Snowflake.
- You’ll design, develop, and test robust, scalable data platform components
About you
The ideal candidate will possess extensive experience in building data platform at enterprise scale. You will possess strong analytical skills, attention to detail, and the ability to thrive in a fast-paced environment. Excellent communication and collaboration skills are essential to communicate with technical & non-technical partners. The candidate must demonstrate a proactive and results-driven approach to problem-solving, with a focus on driving continuous improvement and innovation in data quality and operational processes.
If you are eager to shape the next generation of data foundations in the real estate industry and make an impact, join us in an extraordinary world-class data and analytics organization and become part of the digital transformation Anywhere is leading.
Your Experience
- Bachelor’s in Computer Science, Engineering, or related technical discipline or equivalent combination of training and experience
- 5+ years programming experience: building application frameworks, and back-end systems for high-volume pipelines using Python.
- Strong knowledge of SQL for querying, data manipulation, and data transformation
- Understanding of dimensional modeling, star schemas, and data partitioning techniques
- 2+ years experience with the Cloud Data warehousing services, including storage options, compute capabilities, and data management tools
- 3+ year’s experience using Orchestration tools like Airflow or dbt
- 2 years’ experience using AWS Data Services: S3, Cloudformation, EMR
- 2 years’ experience building Data Observability tools like DataDog or any other tool .
- 3+ year exp. with data architecture, ETL and processing of structured and unstructured data
- 3+ years’ experience with DevOps tools (any combination of GitHub, TravisCI or Jira) and methodologies (Lean, Agile, Scrum, Test Driven Development)
Behavioral Competences
- Excellent communication ability to communicate on different levels of seniority.
- Team player; enjoying being part of a cross-functional setup.
- Ability to perform well on time-critical endeavors and on multiple fronts at the time.
- Strong dedication to quality and a 'client' mindset.
- A passion for learning and continuous improvement
