Software Engineer (Part-time): Work on a project from scratch in the domain of data warehousing, data engineering and cloud. Responsibilities Identify and scope tasks by experimenting with data engineering, data warehousing, and cloud tools. Design and code software in Python. Clearly communicate your code and findings to your manager. Qualifications Prior internship or work experience building real-world software. Ability to work with minimal guidance and figure things out independently. Hands-on experience with databases. Experience with data pipelines, data warehouses, or cloud is a plus. Stipend & Perks ₹1 – 1.5 L per month. Work directly with a CXO from a NASDAQ-listed company. Duration Minimum 6 months. Candidate needs to commit a minimum of 40 hours/week. Note: Your manager is based in the US, so you must be available for coordination calls between 8 AM – 11 AM IST .

Senior Data Engineer at Zingle AI Research Labs: Responsibilities Partner with Data Science, Product Manager, Analytics, and Business teams to review and gather the data/reporting/analytics requirements and build trusted and scalable data models, data extraction processes, and data applications to help answer complex questions. Design and implement data pipelines to ETL data from multiple sources into a central data warehouse. Design and implement real-time data processing pipelines using Apache Spark Streaming. Improve data quality by leveraging internal tools/frameworks to automatically detect and mitigate data quality issues. Develop and implement data governance procedures to ensure data security, privacy, and compliance. Implement new technologies to improve data processing and analysis. Coach and mentor junior data engineers to enhance their skills and foster a collaborative team environment. Qualifications Should have experience of working with large and complex data pipelines projects. Experience building scalable data pipelines in Spark, SQL, Pyspark using Airflow scheduler/executor framework or similar scheduling tools. Champion automated builds and deployments using CICD tools like Bitbucket, Git. Should know how to build end-end CI/CD pipelines for testigng and deploying data pipelines. Experience working with large-scale, high-performance data processing systems (batch and streaming) Perks: Option to work permanent remote & from Office(hybrid) Salary range: Upto 75LPA Zingle offers a variety of perks and benefits to support you, your family and to help you engage with your local community. Our offerings include health coverage, paid volunteer days, wellness resources, and so much more. Flexible working arrangement: We understand that life happens outside of work. That's why we don't expect a typical 9 AM - 5 PM schedule to work for everyone—we offer flexibility for you to do your best work in a way that works for you