- Design and implement robust data pipelines to extract data from various distributed systems, including production databases, analytics tools, and data warehousing solutions.
- Automate and streamline existing data collection processes to enhance efficiency and scalability.
- Categorize and segment data effectively to support targeted analysis and derive meaningful insights.
- Conduct complex data analyses and develop classifiers using Python, applying statistical methods and machine learning algorithms as needed.
- Develop and maintain detailed dashboards and reporting systems to monitor key metrics and communicate insights to stakeholders across the company.
- Collaborate closely with engineering teams to ensure comprehensive data capture and integration into our systems for ongoing analytics needs.
- Highly proficient in SQL and Python, familiarity with R is a plus.
- Strong foundation in statistical analysis, especially with applications in data science.
- Experience in building and deploying machine learning models.
- In-depth knowledge of database management and architecture, with experience in both SQL and NoSQL platforms.
- Data wrangling + ETL; be able to transform and aggregate raw data into quality, usable databases for analyses and model-building.
- Proficient in using Postgres, AWS technologies like DynamoDB, Athena and Redshift
- Experience in using Apache Airflow
- Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, or a related field.
- At least 3-5 years of relevant professional experience in data engineering or a related role.
- Demonstrated ability to work independently and as part of a team in a dynamic and fast-paced environment.
- Hybrid working model
- Flexible and generous vacation policy
- Maternity / Paternity Leave/ Adoption/ Commissioning leave
- Generous Medical Benefits - Above market family floater medical insurance coverage including both parents or in law parents
- Metro connectivity from office
- A supportive, collaborative group of people who understand that success depends on the team
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