Data Engineer-Databricks & SQL

About Veersa -

Veersa Technologies is a US-based IT services and AI enablement company founded in 2020, with a global delivery center in Noida (Sector 142).

• Founded by industry leaders with an impressive 85% YoY growth
• A profitable company since inception
• Team strength: Almost 400 professionals and growing rapidly
  
  

Our Services Include

• Digital & Software Solutions: Product Development, Legacy Modernization, Support
• Data Engineering & AI Analytics: Predictive Analytics, AI/ML Use Cases, Data Visualization
• Tools & Accelerators: AI/ML-embedded tools that integrate with client systems
• Tech Portfolio Assessment: TCO analysis, modernization roadmaps, etc.
• Tech Stack - *
  
  

AI/ML, IoT, Blockchain, MEAN/MERN stack, Python, GoLang, RoR, Java Spring Boot, Node.js Databases: PostgreSQL, MySQL, MS SQL, Oracle Cloud: AWS & Azure (Serverless Architecture) Website: https://veersatech.com LinkedIn: Feel free to explore our company profile

About The Role

We are seeking a highly skilled and experienced Data Engineer & Lead Data Engineer to join our growing data team. This role is ideal for professionals with 2 to 10 years of experience in data engineering, with a strong foundation in SQL, Databricks, Spark SQL, PySpark, and BI tools like Power BI or Tableau.

As a Data Engineer, you will be responsible for building scalable data pipelines, optimizing data processing workflows, and enabling insightful reporting and analytics across the organization.

Key Responsibilities

• Design and develop robust, scalable data pipelines using PySpark and Databricks.
• Write efficient SQL and Spark SQL queries for data transformation and analysis.
• Work closely with BI teams to enable reporting through Power BI or Tableau.
• Optimize performance of big data workflows and ensure data quality.
• Collaborate with business and technical stakeholders to gather and translate data requirements.
• Implement best practices for data integration, processing, and governance.
  
  

Required Qualifications

• Bachelor’s degree in Computer Science, Engineering, or a related field.
• 2–10 years of experience in data engineering or a similar role.
• Strong experience with SQL, Spark SQL, and PySpark.
• Hands-on experience with Databricks for big data processing.
• Proven experience with BI tools such as Power BI and/or Tableau.
• Strong understanding of data warehousing and ETL/ELT concepts.
• Good problem-solving skills and the ability to work in cross-functional teams.
  
  

Nice To Have

• Experience with cloud data platforms (Azure, AWS, or GCP).
• Familiarity with CI/CD pipelines and version control tools (e.g., Git).
• Understanding of data governance, security, and compliance standards.
• Exposure to data lake architectures and real-time streaming data pipelines.