Job
Description
We are seeking a highly motivated and experienced SDE II - Backend and Data to join our growing platform engineering team. In this role, you will be a key contributor to building and scaling our data infrastructure, ensuring data quality, and enabling real-time analytics for our platform. You will work closely with other engineers and product managers to deliver impactful solutions that drive business growth. What we are looking for in our Backend and Data Engineer (SDE2): Develop and maintain scalable backend services and APIs for our applications powe'red by real time data base. Architect and implement data pipelines for ingestion, processing, and storage leveraging cloud services, preferably AWS. Set up, manage, and optimize Apache Pinot for real-time analytics, including schema design, indexing strategies, and query tuning. Design and implement data lake strategies for storing and accessing raw and processed data. Implement data quality and anomaly checks and monitoring across backend and data pipelines. Develop and maintain ETL processes, integrating them with backend services. Optimize data models and storage for performance and efficiency. Contribute to data infrastructure design, focusing on scalability and fault tolerance. Troubleshoot and resolve data-related issues in backend and pipelines. Stay current with backend and data engineering trends. Participate in code reviews and improve engineering practices. Contribute to automated testing and deployment processes. What we expect from you: 3-6 years of experience in backend development and data engineering. Strong understanding of data engineering concepts, including data architecture, pipeline design, data modeling, and data quality. Proficiency in SQL and experience with relational databases. Experience with Python and data processing libraries (eg, Pandas). Experience with real-time analytics platforms (eg, Apache Pinot/Druid) is highly desired. Experience with ETL tools and processes, including understanding of Fivetran or similar platforms. Experience with cloud platforms (eg, AWS, GCP, Azure) is a plus. Strong problem-solving and debugging skills. Excellent communication and collaboration skills. Bachelors degree in Computer Science or a related field. Bonus Points: Experience with streaming technologies (eg, Kafka, Flink). Experience setting up and managing open-source data tools (eg, Superset, Redash, Airflow) and working experience with such tools. Experience with monitoring and alerting tools (eg, Prometheus, Datadog). Contributions to open-source projects. What s in store for you at Uniqode A we'll-deserved compensation package that recognizes your skills and contributions to our team. Join our journey with an opportunity to share in the companys success through equity ownership. Get the opportunity to work with hand-picked individuals who are experts in their domain and passionate about the product. Contribute to a product that is rapidly growing and is the chosen platform of thousands of businesses across the globe. Experience the flexibility of working both in-office and remotely, optimizing your work-life balance. Secure your we'll-being with comprehensive health insurance coverage, ensuring you and your family peace of mind. Receive dedicated mental health support, fostering a nurturing workplace environment that values your emotional we'll-being.
