Senior Technical Lead

Job Summary

We are looking for strong Data Engineers with experience in building scalable data pipelines and working on modern cloud-based data platforms. The candidate should have hands-on experience in Apple’s preferred data engineering stack and should be comfortable working in a fast-paced Agile environment.

Key Responsibilities

• Design, develop, and maintain scalable ETL/data pipelines

• Build and optimize batch and streaming data processing workflows

• Work closely with cross-functional teams including Data Analysts, Product Teams, and Platform Engineers

• Ensure high data quality, reliability, and performance across pipelines

• Troubleshoot production issues and perform performance tuning

• Participate in Agile ceremonies and collaborate with distributed teams

Skill Requirements

Required Skills:

• Strong experience in Python programming

• Hands-on experience with Apache Spark / Py Spark

• Experience with Apache Airflow for workflow orchestration

• Strong SQL skills and data modeling knowledge

• Experience working with large-scale distributed data processing systems

• Exposure to cloud platforms such as GCP / AWS

• Experience with CI/CD and version control tools

• Good understanding of data warehousing and big data concepts

Preferred Skills:

• Experience with Big Query, Iceberg, or Data Lake architectures

• Exposure to Kafka or streaming technologies

• Experience working in enterprise-scale data platforms

Familiarity with Agile/Scrum methodologies

Experience:

• 5+ years of relevant Data Engineering experience preferred

Other Requirements

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