Data Engineer

Job Description

SuperOps is a SaaS startup empowering IT service providers and IT teams around the world with technology that is cutting-edge, future-ready, and powered by AI. We are backed by marquee investors like Addition, March Capital, Matrix Partners India, Elevation Capital, and Tanglin Venture Partners. Founded by Arvind Parthiban, a serial entrepreneur, and Jayakumar Karumbasalam, a veteran in the IT space, SuperOps is built on the back of a team of engineers, product architects, designers, and AI experts, who want to reshape the world of IT. Now we have taken on a market that is plagued by legacy solutions and subpar experiences. The potential to do something great is immense. So if you love to grow, be part of a kickass team that inspires you to do more, and make an everlasting mark in the world of IT, SuperOps is the place to be. We also believe that the journey is as important as the destination. We want to build the best products out there and have fun while doing so. So come, be part of our A-star team of superheroes. We are looking for a talented Senior Front-End Engineer to join our engineering team. As a senior member of our team, you will be responsible for creating responsive, efficient, and engaging user interfaces for our platform. Role Summary: We are seeking a skilled and motivated Data Engineer to join our growing team. In this role, you will be instrumental in designing, building, and maintaining our data infrastructure, ensuring that reliable and timely data is available for analysis across the organization. You will work closely with various teams to integrate data from diverse sources and transform it into actionable insights that drive our business forward. Working at a start-up has its own perks. Role boundaries diminish and one needs to get their hands dirty with a variety of tasks, hustle and learn. Whats best is when this is complemented with a culture that fuels growth, learning, trust and a kick-ass team each one best at what they do. Now we are talking about a dream combination. Thats exactly SuperOps.ai for me and why precisely I love day in and day out working here! What Youll Do: Design, develop, and maintain scalable and robust data pipelines to ingest data from various sources, including CRM systems (e.g., Salesforce), Billing platforms, Product Analytics tools (e.g., Mixpanel, Amplitude), and Marketing platforms (e.g., Google Ads, Hubspot). Build, manage, and optimize our data warehouse to serve as the central repository for all business-critical data. Implement and manage efficient data synchronization processes between source systems and the data warehouse. Oversee the storage and management of raw data, ensuring data integrity and accessibility. Develop and maintain data transformation pipelines (ETL/ELT) to process raw data into clean, structured formats suitable for analytics, reporting, and dashboarding. Ensure seamless synchronization and consistency between raw and processed data layers. Collaborate with data analysts, product managers, and other stakeholders to understand data needs and deliver appropriate data solutions. Monitor data pipeline performance, troubleshoot issues, and implement improvements for efficiency and reliability. Document data processes, architectures, and definitions. Years of experience - 5 to 8 years Proven experience as a Data Engineer or in a similar role. Strong experience in designing, building, and maintaining data pipelines and ETL/ELT processes. Proficiency with data warehousing concepts and technologies (e.g., BigQuery, Redshift, Snowflake, Databricks). Experience integrating data from various APIs and databases (SQL, NoSQL). Solid understanding of data modeling principles. Proficiency in programming languages commonly used in data engineering (e.g., Python, SQL). Experience with workflow orchestration tools (e.g., Airflow, Prefect, Dagster). Familiarity with cloud platforms (e.g., AWS, GCP , Azure). Excellent problem-solving and analytical skills. Strong communication and collaboration abilities. Why Youll Love Working with us Experience working in a SaaS company. Understanding of key SaaS business metrics (e.g., MRR, ARR, Churn, LTV, CAC). Experience with data visualization tools (e.g., Tableau, Looker, Power BI). Familiarity with containerization technologies (e.g., Docker, Kubernetes). Impact: Youll work on a product that is revolutionising IT service management for MSPs and IT teams worldwide. Growth: SuperOps is growing rapidly, and there are ample opportunities for career progression and leadership roles. Collaboration: Work with talented engineers, designers, and product managers in a supportive and innovative environment Oops, weve hit a glitch. Try entering the details again.