Data Engineer
April 9
Description
• Collaborate with internal project managers, sales directors, account managers, and clients’ stakeholders to identify requirements and build external data-driven solutions • Perform data appends, extracts, and analyses to deliver curated datasets and insights to clients to help achieve their business objectives • Understand and keep current with external data landscapes such as consumer, business, and property data. • Engage in projects involving entity detection, record linking, and data modelling projects • Design scalable code blocks using Demyst’s APIs/SDKs that can be leveraged across production projects • Govern releases, change management and maintenance of production solutions in close coordination with clients' IT teams
Requirements
• Bachelor's in Computer Science, Data Science, Engineering or similar technical discipline (or commensurate work experience); Master’s degree preferred • 1-3 years of Python programming (with Pandas experience) • Experience with CSV, JSON, parquet, and other common formats • Data cleaning and structuring (ETL experience) • Knowledge of API (REST and SOAP), HTTP protocols, API Security and best practices • Experience with SQL, Git, and Airflow • Strong written and oral communication skills • Excellent attention to detail • Ability to learn and adapt quickly
Benefits
• Distributed working team and culture • Generous benefits and competitive compensation • Collaborative, inclusive work culture: all-company offsites and local get togethers in Bangalore • Annual learning allowance • Office setup allowance • Generous paid parental leave • Be a part of the exploding external data ecosystem • Join an established fast growth data technology business • Work with the largest consumer and business external data market in an emerging industry that is fueling AI globally • Outsized impact in a small but rapidly growing team offering real autonomy and responsibility for client outcomes • Stretch yourself to help define and support something entirely new that will impact billions • Work within a strong, tight-knit team of subject matter experts • Small enough where you matter, big enough to have the support to deliver what you promise
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