Senior Data Platform Engineer

**POSITION SUMMARY** We are looking for an experienced Senior Data Engineer proficient in Data infrastructure operations, automation, and management, as well as traditional data engineering responsibilities. As a Senior Data Engineer, you will work cross-functionally with various teams and contribute to helping build an enterprise-grade Data Platform. This position will be hybrid from our Bengaluru office, as part of our expanding site, with 2+ days in the office. EarnIn provides excellent employee benefits, including healthcare, internet/cell phone reimbursement, a learning and development stipend, and opportunities to collaborate with and travel to our Mountain View HQ and Bangkok Site. Our salary ranges are determined by role, level, and location. **WHAT YOU'LL DO** - Lead and focus on scaling the data infrastructure, streamlining the data delivery, and designing and implementing AI automation to replace manual operations. - Engage closely with a wide array of stakeholders, including executive, product, data, and design teams, providing high-level support for data infrastructure challenges, advising on technical data issues, and implementing self-serve solutions. - Develop sophisticated AI-based analytical tools that integrate with the data pipeline to provide deep insights into key business metrics, including customer growth and operational efficiency. - Architect and manage extensive, sophisticated data sets to meet complex business needs and requirements. - Engage closely with a wide array of stakeholders, including executive, product, data, and design teams, providing high-level support for data infrastructure challenges and advising on technical data issues. - Make a meaningful impact on the lives of our community members. - Collaborate and mentor other senior engineers while providing thoughtful guidance using code, design, and architecture reviews. - Contribute to defining technical direction, planning the roadmap, escalating issues, and synthesizing feedback to ensure team success. - Estimate and manage team project timelines and risks. - Participate in hiring and onboarding for new team members. - Lead cross-team engineering initiatives. - Constantly learning about new technologies and industry standards in data engineering. **WHAT WE'RE LOOKING FOR** - 4+ years of experience in designing, building, and maintaining data infrastructure, and the ability to lead complex projects - Bachelor's, Master’s, or PhD degree in computer science, computer engineering, or a related technical discipline, or equivalent industry experience. - Deep knowledge of Kafka, Proficiency in programming languages like Python and Scala, and a good understanding of ML engineering. - Strong knowledge of distributed computing frameworks, such as Apache Spark, with cloud platforms such as AWS, Azure, or GCP. - Working experience with Databricks would be nice to have - Experience using AI-assisted development tools (e.g., GitHub Copilot, Cursor, ChatGPT, or similar tools) as part of your software development workflow - Deep understanding of database design, SQL, and NoSQL databases. Experience in managing large datasets and optimizing database performance. - Proficiency in Git and Terraform, and experience in deploying continuous integration and continuous deployment (CI/CD) practices. - Experience in managing event-driven systems, particularly with Kafka in cloud environments. - Expertise in developing and implementing data governance frameworks, policies, and procedures to ensure data quality, compliance, and effective data management practices. - Deep understanding of data security principles, including encryption, decryption, and secure data storage and transfer protocols # LI-Hybrid