Remote: Hybrid

Join Toptal’s Elite Network of Freelance TalentToptal is an exclusive network of the world’s top freelance software developers, designers, finance experts, product managers, and project managers. As one of the fastest-growing fully remote networks globally, we empower professionals to thrive in their freelance careers while working with leading companies around the world.Role: Data EngineerResponsibilities:Collaborate with teams of experienced actuaries, developers and business experts to deliver projectsDesign and propose end-to-end data pipelines (ingestion to storage to consumption) for data projects as well as databases to support web-based applicationsImplementation of data warehouses and data marts to serve data consumersExecute implementation of the designs and bring it from design stages to implementation ,followed by operationalization to maintenanceDatabase design and modelling. To be able to organize data at both macro and micro level and provide logical data models for the consumersDatabase performance tuning and data lifecycle managementAssist in support and enhancements of existing data pipelines and databasesMust-Have:5+ years of total experience working with data integration teams.1+ years ofin-depthexperience developing data pipelines within anApache Sparkenvironment (preferably Databricks).1+ years of activehands-onwork withDatabricks ,



demonstrating in-depth experience.Valuable experience in building data pipelines that ingests various types of data sources into a database or data lake and populating a structured warehouse or data mart that fuels the data consumer.Fluent in both complex SQL query performance tuning and database performance tuningGood knowledge of data modelling, database technologies, data warehousing.Have experience in building data warehouses/data martsUnderstand the importance of performance and able to implement best practices in ensuring performance and maintainability for data-centric projectsThis person is required to be dynamic and be a quick eager learner as knowledge about new technologies will need to be acquired on the spotExperience with BI and analytics tools like Power BI or Tableau.Nice-to-Have:Experience integrating AI into data engineering.Certifications in Databricks, cloud computing or database management.Experience developing data solutions using native IaaS and PaaS solutions on AWS (RDS, S3).Experience in any object-oriented programming language.Additional DetailsLocation: Hybrid in Bangalore, India (2-3 days/week in-office)Overlap: Singapore timezoneType: 40h/week contractDuration: 12+ monthsAuthorization: Applicants must be authorized to work in their country of residence without employer sponsorship

📌 Data Engineer (Mumbai)
🏢 Toptal
📍 Mumbai