Senior Software Engineer - Data Engineering-

Responsibilities

• Design, build, and maintain robust data pipelines on Snowflake and Databricks.
• Develop scalable ETL/ELT processes using Python, SQL, and Spark.
• Collaborate with data scientists and analysts to translate requirements into data solutions.
• Optimize data models and query performance for large‑scale workloads.
• Implement data governance, security, and compliance best practices.
• Mentor junior engineers and promote best coding standards.
• Evaluate emerging technologies and recommend improvements to the data stack.
• Create comprehensive documentation and technical specifications.
• Participate in agile ceremonies and contribute to sprint planning.
• Monitor production systems, troubleshoot issues, and ensure high availability.

Qualifications

• 5+ years of professional experience in data engineering.
• Deep expertise with Snowflake and Databricks platforms.
• Strong proficiency in SQL and Python (or Scala).
• Hands‑on experience with cloud services (AWS, Azure, or GCP).
• Solid understanding of data modeling, warehousing, and lakehouse concepts.
• Experience building and optimizing Spark jobs at scale.
• Knowledge of CI/CD pipelines and infrastructure as code.
• Excellent problem‑solving and analytical skills.
• Effective communication and stakeholder management abilities.
• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.

ABOUT US

EQUAL OPPORTUNITY EMPLOYER

INFORMATION SECURITY RESPONSIBILITIES

• Understand and adhere to Information Security policies, guidelines and procedure, practice them for protection of organizational data and Information System.
• Take part in information security training and act while handling information.
• Report all suspected security and policy breach to InfoSec team or appropriate authority (CISO).
• Understand and adhere to the additional information security responsibilities as part of the assigned job role.