Data Engineer

Candidates typically face a timed online assessment focusing on aptitude and SQL coding, followed by a deep‑dive technical interview covering data pipeline architecture, performance tuning and AWS services. The final HR round assesses cultural fit, communication and career aspirations. Preparation should include hands‑on practice with Snowflake/Redshift queries and a clear articulation of past projects.

10x.hellosunday.ai promotes a collaborative, fast‑paced environment where engineers are encouraged to experiment and own end‑to‑end solutions. The company offers clear growth tracks, regular learning sessions and a healthy work‑life balance supported by flexible hours and occasional remote days.

Graduates (B.Tech/B.E./M.Tech/M.Sc.) in Computer Science, Information Technology, Electronics, or related streams; minimum 60% aggregate (or CGPA 6.5/10); batch years 2023‑2026; up to 3 years of relevant experience or strong internship/personal project exposure; no active backlogs; good communication skills.

Round 1: Online assessment (aptitude + coding) → Round 2: Technical interview (data pipeline design, SQL, cloud concepts) → Round 3: HR interview (culture fit, expectations)

10x.hellosunday.ai is a fast‑growing technology startup that focuses on building intelligent automation solutions for enterprises. Founded by a team of ex‑FAANG engineers, the company leverages cloud‑native architectures to help clients modernise their data pipelines, enable real‑time analytics and accelerate decision‑making. With a culture that encourages rapid experimentation, continuous learning and ownership, 10x.hellosunday.ai has quickly expanded its footprint across major Indian metros and now serves a diverse portfolio of customers ranging from fintech to e‑commerce. The organisation prides itself on a flat hierarchy, merit‑based growth and a collaborative environment where engineers are empowered to ship production‑grade features within weeks. The Data Engineer role is a core part of the data platform team, responsible for designing, building and maintaining scalable data pipelines that feed business intelligence and analytics products. The candidate will work closely with data scientists, product managers and cloud architects to translate business requirements into robust ETL/ELT workflows, optimise storage solutions and ensure data quality across the AWS ecosystem. This position offers exposure to cutting‑edge data warehousing technologies and the chance to influence architectural decisions that impact millions of records daily. Key responsibilities include: 1. Design, develop, and optimise end‑to‑end data pipelines using PostgreSQL, Snowflake and Redshift for high‑volume ingestion and transformation. 2. Implement and manage data lake architectures on Iceberg, ensuring efficient storage, partitioning and query performance. 3. Build interactive dashboards and visualisations in AWS QuickSight to deliver actionable insights to stakeholders. 4. Conduct ETL/ELT processes, data modelling and transformation workflows adhering to best practices. 5. Deploy and integrate BI solutions using Qliksense for advanced analytics reporting. 6. Tune and troubleshoot database performance across PostgreSQL, Snowflake and Redshift environments. 7. Collaborate with cross‑functional teams to deliver end‑to‑end data solutions within the AWS ecosystem. 8. Enforce data quality, governance and security standards for Iceberg‑based tables and cloud warehouses. 9. Participate in code reviews, documentation and knowledge‑sharing sessions. 10. Stay updated with emerging data technologies and propose improvements. The tech stack revolves around PostgreSQL, Snowflake, Redshift, AWS QuickSight, Iceberg and Qliksense, complemented by Python/SQL scripting and AWS services such as S3, Lambda and Glue. Growth path includes progression to Senior Data Engineer, Data Architecture Lead and eventually Data Platform Manager, with opportunities to lead cross‑functional projects and mentor junior talent. Joining 10x.hellosunday.ai means working in a vibrant, high‑impact environment where your contributions directly shape the data backbone of innovative products, offering both technical depth and career acceleration.