Analytics Engineer
2 weeks ago
Scammers are using our name, "Degreed", impersonating our website, and claiming to be affiliated with Degreed as part of a recruitment scam.
Please note that Degreed does not recruit talent through WhatsApp, Telegram or any other direct-messaging systems other than e-mail and, during the interview process, phone numbers.
We also do not request sensitive personal or financial information in an unsolicited manner, nor do we offer employment opportunities that require upfront payments or promise unrealistic returns.
Degreed is the upskilling platform that connects learning to opportunities.We integrate everything people use to learn and build their careers—skill insights, LMSs, courses, videos, articles, and projects—and match everyone to growth opportunities that fit their unique skills, roles, and goals.
Degreed exists to discover, empower and recognize the next generation of the world's expertise.
Degreed India Engineering is looking for an experienced Analytics Engineer to provides timely, accurate, and reliable data to engineers, data scientists, business analysts, and reporting and analysis tools.
You will be part of a distributed team across India, the U.S., and other areas reporting to an Engineering Manager in the U.S.This role will be based onsite in Bengaluru, India.
After an in-office onboarding period, incumbents are expected to be available in office for a few days per week as part of hybrid work model.
Candidates will also be required to travel internationally 1-2 times annually for full company gatherings.Beware of fraudulent recruitment activities impersonating Degreed.
Scammers are using our name, "Degreed", impersonating our website, and claiming to be affiliated with Degreed as part of a recruitment scam.
Please note that Degreed does not recruit talent through WhatsApp, Telegram or any other direct-messaging systems other than e-mail and, during the interview process, phone numbers.
We also do not request sensitive personal or financial information in an unsolicited manner, nor do we offer employment opportunities that require upfront payments or promise unrealistic returns.
Day in the LifeTransform data in our data warehouse to build data models that feed various reporting and analytics offerings.
Research systems and APIs to find the best way to connect to production databases.
Develop data pipelines to extract, load, and transform data using SQL, Python, JinjaDesign, deploy, and maintain services in our growing Azure-based data infrastructurePartner with internal teams to research and develop requirements for new featuresDesign database schemas and queries to ensure performanceWrite automated tests to monitor and ensure end-to-end data qualityWork with reporting engineers to experiment with and deploy data modelsConsult with teams across Degreed to provide expertise, guidance, and support using data
Who You Are
There are only a handful of folks who meet all qualifications.
We care more about hiring engineers that have a track record of shipping impactful, quality software than checking all of the boxes.
So whether you meet all the qualifications or a partial set, we want to hear from you3+ years of experience writing performant, maintainable, and scalable Python services4+ years of experience in engineering, including Data Modeling, ETL/ELT, Data Lakes, and Data Warehousing on cloud platforms such as Azure, AWS, GCP, etc4+ years working with SQL such as SQL Server, Postgres, MySQL2+ years of experience deploying and maintaining CI/CD-enabled high-availability production services3+ years of experience with one or more data pipeline platforms like Airflow, Stitch, Meltano, Spark, or othersExperience using and developing on Snowflake or other large, shared data warehouses2+ years of writing automated testing using tools like PytestPractical experience with software development processes and tools like Scrum, code reviews, GitHub, Jira, etc.
Experience working in highly collaborative teamsCandidate must be based in Bengaluru, India.What Sets You Apart
Experience utilizing Dbt to actualize modelsExposure to Jinja codingPractical hands-on experience with creating Airflow DAGs
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