We are seeking a highly skilled Lead Data Engineer to join our agile team. The ideal candidate will have a strong background in data engineering and architecture, with a focus on leveraging Python, SQL, and Apache Spark to build robust data pipelines and ETL processes. As a Lead Data Engineer, you will play a crucial role in designing and implementing data solutions that meet the needs of our organization and drive data-driven decision-making.

Key Responsibilities

- Design, develop, and maintain scalable data pipelines and ETL processes to support data ingestion and transformation.
- Collaborate with data architects and other stakeholders to define data architecture and ensure data quality and integrity.
- Utilize Python and SQL to manipulate and analyze large datasets, providing insights and recommendations based on data analysis.
- Implement best practices for data engineering, including data governance, security, and performance optimization.
- Lead and mentor a team of data engineers, fostering a culture of continuous improvement and innovation.




- Stay up-to-date with the latest trends and technologies in data engineering and analytics, and evaluate their potential application within the organization.

Required Skills

- Proficiency in Python and SQL, with experience in data manipulation and analysis.
- Strong knowledge of Apache Spark and its ecosystem for big data processing.
- Experience with ETL tools and frameworks, and a solid understanding of data warehousing concepts.
- Excellent problem-solving skills and the ability to work collaboratively in a fast-paced environment.
- Strong communication skills, with the ability to convey complex technical concepts to non-technical stakeholders. If you are passionate about data engineering and want to make a significant impact in a growing organization, we encourage you to apply for this exciting opportunity.

Industry

IT Services & Consulting

Department

Sales / BD, ERP / CRM

📌 Lead Data Engineer (India)
🏢 Nippon Data Systems
📍 India