Analytics Engineer - (Onsite) Bengaluru, India
Bengaluru, Karnataka, India
Degreed
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. Degreed amasses a high volume of structured and unstructured data in multiple production systems. In this role, you'll be responsible for data models to feed our product, various reporting and analytics offerings. 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 Degreed.com 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 Life
- Transform 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, Jinja
- Design, deploy, and maintain services in our growing Azure-based data infrastructure
- Partner with internal teams to research and develop requirements for new features
- Design database schemas and queries to ensure performance
- Write automated tests to monitor and ensure end-to-end data quality
- Work with reporting engineers to experiment with and deploy data models
- Consult 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 you
- 3+ years of experience writing performant, maintainable, and scalable Python services
- 4+ years of experience in engineering, including Data Modeling, ETL/ELT, Data Lakes, and Data Warehousing on cloud platforms such as Azure, AWS, GCP, etc
- 4+ years working with SQL such as SQL Server, Postgres, MySQL
- 2+ years of experience deploying and maintaining CI/CD-enabled high-availability production services
- 3+ years of experience with one or more data pipeline platforms like Airflow, Stitch, Meltano, Spark, or others
- Experience using and developing on Snowflake or other large, shared data warehouses
- 2+ years of writing automated testing using tools like Pytest
- Practical experience with software development processes and tools like Scrum, code reviews, GitHub, Jira, etc.
- Experience working in highly collaborative teams
- Candidate must be based in Bengaluru, India.
What Sets You Apart
- Experience utilizing Dbt to actualize models
- Exposure to Jinja coding
- Practical hands-on experience with creating Airflow DAGs
Work Environment & Physical Demands
Degreed is a remote-first company; however, our roles are open to in-office or flex work if you live in a city with a physical office location (when it is safe to return to the office). If this role has the opportunity to operate 100% virtually, it will be from your home office within any country that Degreed is authorized to do business. If this role is based in a Degreed office location, you will have the flexibility to work remotely if needed. As a global business, we primarily collaborate through virtual meetings (Zoom), email, and Slack. You will be required to operate a laptop computer, computer software platforms, and other office productivity machinery as necessary in this role. Due to the nature of this role, you must be able to remain stationary for extended periods and must be able to observe and interpret written and/or verbal communication.
Work Environment & Physical Demands
Degreed is a remote-first company, however our roles are open to in-office or hybrid if you live in a city with a physical office location. This role has the opportunity to operate 100% virtually from your home office. We primarily collaborate with our US and International colleagues through virtual meetings (Zoom), email, and Slack. In this role, you will be required to operate a laptop computer, computer software platforms, and other office productivity machinery as necessary. Due to the nature of this role, you must be able to remain stationary for extended periods, and must be able to observe and interpret written and/or verbal communication.Additional Information
Degreed provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. We are committed to the full inclusion of all qualified individuals. As part of this commitment, Degreed will provide reasonable accommodations to all qualified individuals with disabilities to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment. Pursuant to the San Francisco Fair Chance Ordinance, we will consider qualified applicants with arrest and conviction records. Degreed uses the E-Verify employment verification program.* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Airflow APIs AWS Azure CI/CD Data pipelines Data quality Data warehouse Data Warehousing dbt ELT Engineering ETL GCP GitHub Jira MySQL Pipelines PostgreSQL Python Research Scrum Snowflake Spark SQL Testing Unstructured data
Perks/benefits: Career development Gear Home office stipend Startup environment
More jobs like this
Explore more AI, ML, Data Science career opportunities
Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
- Open Data Manager jobs
- Open Data Science Manager jobs
- Open Lead Data Analyst jobs
- Open MLOps Engineer jobs
- Open Senior Business Intelligence Analyst jobs
- Open Principal Data Engineer jobs
- Open Data Engineer II jobs
- Open Power BI Developer jobs
- Open Sr Data Engineer jobs
- Open Data Analytics Engineer jobs
- Open Product Data Analyst jobs
- Open Data Scientist II jobs
- Open Business Intelligence Developer jobs
- Open Junior Data Scientist jobs
- Open Business Data Analyst jobs
- Open Sr. Data Scientist jobs
- Open Senior Data Architect jobs
- Open Data Analyst Intern jobs
- Open Big Data Engineer jobs
- Open Principal Data Scientist jobs
- Open Junior Data Engineer jobs
- Open Manager, Data Engineering jobs
- Open Data Quality Analyst jobs
- Open Azure Data Engineer jobs
- Open Data Product Manager jobs
- Open Data quality-related jobs
- Open GCP-related jobs
- Open Business Intelligence-related jobs
- Open Java-related jobs
- Open ML models-related jobs
- Open Data management-related jobs
- Open Privacy-related jobs
- Open Data visualization-related jobs
- Open Finance-related jobs
- Open Deep Learning-related jobs
- Open PhD-related jobs
- Open APIs-related jobs
- Open PyTorch-related jobs
- Open TensorFlow-related jobs
- Open NLP-related jobs
- Open Consulting-related jobs
- Open Snowflake-related jobs
- Open CI/CD-related jobs
- Open LLMs-related jobs
- Open Generative AI-related jobs
- Open Kubernetes-related jobs
- Open Hadoop-related jobs
- Open Data governance-related jobs
- Open Airflow-related jobs
- Open Docker-related jobs