Job Location: Poona
About Us
SG Analytics (SGA), a Global Insights and Analytics company, focusses on ESG, Data Analytics, and Investment & Market research services. The company has presence in New York, San Francisco, Austin, Seattle, Toronto, London, Zurich, Pune, Bengaluru, and Hyderabad and growing consistently for the last few years.
SGA is a Great Place To Work (GPTW) certified company, and with its thriving work environment shaped by a growth mindset, abundant learning & collaboration opportunities, and a meritocracy-driven culture, SG Analytics has also been awarded regional best employer in 2016, 2018 & 2020.
Job Description
Job Description
At SG Analytics, we design powerfully and insightful data solutions for our clients and we’re seeking an experienced pipeline-centric data engineer. Our ideal hire will have the technical skills, combined with a rare curiosity and creativity. You’ll wear many hats in this role, but much of your focus will be building out our Python ETL processes and writing superb SQL and working on dbt. Beyond technical prowess, you’ll need the soft skills it takes to communicateto organizational leaders and clients in a way that’s easy to understand. We’re looking for someone willing to jump right in to help the company get the most out of our data.
Objectives of this Role
- Work with data to solve business problems, building and maintaining the infrastructure to answer questions and improve processes
- Help streamline our data science workflows, adding value to our product offering and building out our customer lifecycle and retention models
- Work closely with the data science and business intelligence teams to develop data models and pipelines for research, reporting, and machine learning
- Be an advocate for best practices and continued learning
Daily and Monthly Responsibilities
- Use agile software development processes to iteratively make improvements to our back end systems
- Model front end and back end data sources to help draw a more comprehensive picture of user flows throughout our system and enable powerful data analysis
- Build data pipelines that clean, transform, and aggregate data from disparate sources
- Develop models that can be used to make predictions and answer questions for the overall business
- Work closely with our data science to help build complex algorithms that provide unique insights into our data
Job Requirement
Required Skills and Qualifications
- Bachelor’s degree in computer science, information technology, engineering or equivalent
- Experience in CI/CD pipelines and exposure to dbt.
- 3 or more years of experience with Python, SQL, and data visualization/exploration tools
- Familiarity with the AWS ecosystem specifically RedShift and RDS
- Communication skills, especially explaining technical concepts to non-technical business leaders
- Comfort working in a dynamic, research-oriented team with concurrent projects
Preferred Qualifications
- Experience building or maintaining ETL processes
- Professional certifications
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