<p><p><b>Description : </b><br/><br/></p><p><br/>We are looking for a highly skilled Lead Data Engineer with strong expertise in data architecture, modeling, and scalable data systems.
In this role, you'll design, build, and optimize data pipelines and frameworks that enable analytics, AI, and data-driven decision-making at scale.<br/><br/><b>Responsibilities : </b><br/><br/></p><p><br/>- Collaborate with business and technical teams to design and deliver enterprise-grade data products.<br/><br/></p><p><br/>- Develop, optimize, and maintain scalable data pipelines using modern data frameworks.<br/><br/></p><p><br/>- Architect and implement fault-tolerant, high-performance data solutions using DataOS, Spark, and Python.<br/><br/></p><p><br/>- Translate complex business needs into robust technical data models and workflows.<br/><br/></p><p><br/>- Optimize data pipelines for performance, scalability, and cost efficiency.<br/><br/></p><p><br/>- Ensure data accuracy, consistency, and compliance through quality monitoring and validation frameworks.<br/><br/></p><p><br/>- Work closely with data architects and analysts to align data models with enterprise standards.<br/><br/></p><p><br/>- Mentor junior engineers and contribute to engineering best practices and code quality.<br/><br/><b>Requirements : </b><br/><br/></p><p><br/>- Bachelor's or Master's degree in Computer Science, Information Systems, or related field.<br/><br/></p><p><br/>- 8 to 12 years of experience in data engineering, data architecture, or analytics roles.<br/><br/></p><p><br/>- Proven hands-on experience with Apache Spark, Python, SQL, and API integration frameworks.<br/><br/></p><p><br/>- Expertise in modern data architectures, including cloud data lakes, data warehouses, and data marts.<br/><br/></p><p><br/>- Strong understanding of ETL/ELT processes, data streaming (Kafka), and dimensional modeling (star/snowflake schemas).<br/><br/></p><p><br/>- Experience with DBT, Airflow, or similar workflow orchestration tools.<br/><br/></p><p><br/>- Proficiency in relational and NoSQL databases such as PostgreSQL, MySQL, Redshift, BigQuery, or Cassandra.<br/><br/></p><p><br/>- Familiarity with Docker, Kubernetes, and cloud storage (AWS S3 Azure Data Lake, or GCP Storage).<br/><br/></p><p><br/>- Strong problem-solving, analytical, and communication skills.<br/><br/><b>Preferred Qualifications : </b><br/><br/></p><p><br/>- Experience with data product platforms like DataOS.<br/><br/></p><p><br/>- Knowledge of data governance and cataloging frameworks.<br/><br/></p><p><br/>- Cloud certifications (AWS, Azure, or GCP) are a plus.</p><br/></p> (ref:hirist.tech)