Sr Data Engineer

Experience Level: 6+ years

About Us:
ServCrust is revolutionizing the Construction and Mining Industry with its one-of-a-kind eCommerce, ERP,
and Fintech platform. Our cutting-edge cloud-based SaaS technologies are driven by a strong data-first
approach and AI-powered workflows. We are seeking Senior Engineers with a passion for technology and
a proven track record in Agile product development. Join us on our journey to build India’s leading
eCommerce platform.
Responsibilities:

• Lead the design and development of scalable, robust data solutions that meet cross-functional teams’ data requirements.
• Architect, develop, and optimize ETL (Extract, Transform, Load) processes to seamlessly integrate data from multiple sources into our data warehouse.
• Implement advanced data modeling techniques and design efficient, optimized databases to support complex business needs.
• Ensure the highest levels of data quality and integrity through rigorous data validation and cleansing processes.
• Collaborate closely with data scientists and analysts to provide clean, structured data for advanced analytics and machine learning models.
• Oversee and manage big data technologies and frameworks, including Hadoop, Spark, and Apache Airflow, to handle large-scale data processing tasks.
• Optimize, troubleshoot, and enhance the performance, scalability, and reliability of data processing pipelines.
• Mentor junior engineers and lead initiatives to integrate industry best practices and emerging technologies in data engineering into our workflows.
• Contribute to the strategic planning of data infrastructure to support the company’s growing data needs.

Requirements:

• Bachelor’s degree in Computer Science, Engineering, or a related field.
• 6+ years of experience in data engineering or a related role.
• Expertise in programming languages such as Python, Java, or Scala.
• Advanced experience with SQL and database technologies (e.g., PostgreSQL, MySQL).
• Proven expertise in designing and optimizing ETL processes and tools.
• Deep understanding of data modeling, database design principles, and data architecture.
• Extensive hands-on experience with big data technologies and distributed computing environments.
• Strong problem-solving and analytical skills, with a proven ability to lead complex projects. 9. Demonstrated ability to optimize and scale data processing pipelines for performance and reliability.