Data Engineer - Ads

Round 1: Online coding assessment (data structures & algorithms) → Round 2: Technical interview (system design, data pipelines, SQL) → Round 3: HR interview (cultural fit, motivations)

Apple promotes a culture of innovation, where engineers are encouraged to experiment and iterate quickly while maintaining high quality standards. Employees benefit from mentorship programs, continuous learning opportunities, and a balanced approach to work‑life integration, supported by flexible work arrangements and comprehensive wellness initiatives.

Apple’s interview process is rigorous, typically starting with a timed online coding test followed by two technical rounds focusing on data structures, system design, and real‑world data pipeline scenarios. The final HR round assesses cultural fit and motivation. Candidates should practice problem‑solving under time pressure, be ready to discuss past projects in depth, and demonstrate a clear understanding of privacy‑centric data handling.

B.Tech/B.E. or M.Tech in Computer Science, Information Technology, Electronics & Communication or related fields; minimum CGPA 7.0/10 (or equivalent); graduating batch 2026; no active backlogs at the time of joining; strong academic record in data structures, algorithms, databases, and distributed systems.

Apple is a global technology leader renowned for its innovative hardware, software, and services that have reshaped how people interact with technology. With a legacy of design excellence, privacy‑first philosophy, and a commitment to sustainability, Apple continues to set industry benchmarks across devices, cloud platforms, and digital ecosystems. The company’s culture blends relentless curiosity with a collaborative spirit, encouraging employees to push boundaries while fostering an inclusive environment where diverse perspectives thrive. In India, Apple has expanded its engineering footprint, establishing cutting‑edge research and development centers that work on products used by millions worldwide. The Ads division powers Apple’s advertising ecosystem across Search Ads, the App Store, and Apple News. By delivering relevant, privacy‑preserving ads, the team helps developers and publishers monetize their content while ensuring a seamless user experience. As a Data Engineer in the Ads team, you will be at the core of building and scaling data pipelines that ingest, process, and serve massive volumes of advertising data in real time. Your work will directly influence ad targeting, performance analytics, and revenue optimization for one of the world’s most trusted brands. Key responsibilities include: designing end‑to‑end data pipelines for real‑time ad impressions and clicks; developing ETL workflows to cleanse and enrich raw advertising logs; implementing data models that support reporting, forecasting, and machine‑learning use cases; optimizing query performance on large‑scale data warehouses; collaborating with data scientists to operationalize predictive models; ensuring data quality and compliance with privacy regulations; monitoring pipeline health and troubleshooting failures; documenting architecture and best practices; participating in code reviews and knowledge‑sharing sessions; and continuously exploring new technologies to improve scalability and cost efficiency. The tech stack typically comprises Python, Scala, Spark, Kafka, Flink, Snowflake/BigQuery, Airflow, and cloud services on AWS/GCP. Apple offers a clear growth path: junior engineers can progress to senior, lead, and principal roles, with opportunities to move into data‑science, analytics, or product ownership tracks. Joining Apple means working alongside some of the brightest minds, accessing world‑class resources, and contributing to products that impact billions of users. The company’s commitment to learning, mentorship, and a culture of high standards makes it an ideal place for fresh graduates eager to accelerate their careers in data engineering.