Senior Data Engineer - Databricks - Remote

Overview

As a Sr Data Engineer within the product team, you serve as a seasoned member of an agile team to design, build, and maintain scalable and efficient data pipelines leveraging Databricks platform, SQL, and Python.

In Short

• 4+ years’ experience with Big Data Technologies such as Apache Spark, Cloud Native and Data Lakes, Databricks.
• Delivered ETL/ELT solutions including data extraction, transformation, cleansing, data integration and data management.
• Implemented batch ingestion pipelines.
• Experience with version control systems, such as Git and CI/CD process.
• Strong knowledge of SQL, including complex queries and performance tuning.
• Familiarity with data modeling, data warehousing, and data integration concepts and best practices.
• Documentation and white-boarding skills.
• Strong problem-solving skills.
• Proven ability to work with large cross functional teams with good communication skills.

Requirements

• Experience in retail domain – Aware about entities such as POS (Transaction), Products, Customer, Inventory.
• Experience with Build-Operate-Transfer (BOT) model.
• Familiarity with the Azure cloud platform.
• Experience with data visualization tools, such as Power BI.
• Experience with near real time data processing.
• Experience on Cloud migration methodologies and processes.
• Azure/AWS/Databricks Certified Data Engineer.

Benefits

• Competitive Salaries with flexi benefits.
• Group Mediclaim Insurance and Personal Accidental Policy.
• 40+ Paid Leaves in a year.
• Learning and Development of quarterly budgets for certification.