Data Engineer / Lead - Python / SQL

Job Description :

At Our Client, we are seeking a Data Engineer - Lead to architect and scale enterprise-grade data platforms, manage and mentor a growing team, and drive the design and implementation of high-performance, cloud-native data solutions that power advanced analytics and AI initiatives.

Requirements :

• 7+ years of experience in data engineering, including at least 2+ years in a leadership or lead role.
• Proven ability to lead and manage data engineering teams, provide mentorship, and drive strategic initiatives.
• Strong expertise in architecting enterprise-scale data platforms and multi-tenant infrastructure.
• Hands-on experience with data lake / warehouse solutions (Redshift, BigQuery, Snowflake, Delta Lake, Apache Iceberg).
• Expert-level proficiency in Python, SQL, and data modeling.
• Deep knowledge of distributed systems, data processing frameworks, and system design.
• Advanced experience with cloud platforms (AWS, GCP, Azure), infrastructure as code, and containerization.
• Strong background in real-time and batch data pipelines using Airflow, Kafka, Spark, Flink.
• Experience implementing data governance, lineage, quality frameworks, and observability standards.
• Skilled in performance optimization for queries, storage, and infrastructure at scale.
• Knowledge of CI / CD workflows, testing strategies, and deployment automation.
• Experience with streaming platforms (Kafka, Kinesis) and event-driven architectures.
• Proficiency with modern table formats (Apache Iceberg, Delta Lake) and lake house architectures.
• Demonstrated ability in strategic thinking, stakeholder management, and cross-team collaboration.
• Experience in budget planning, vendor management, and technical recruitment.
• Excellent communication and leadership skills to drive collaboration between Data, ML, Analytics, and Engineering teams.

Good to Have :

(ref : hirist.tech)