This is a fully remote position, open to applicants in India.

• Design, develop, and enhance ETL/ELT workflows utilizing Databricks, SQL, Python/pyspark, and Alteryx.

• Engage with cloud platforms (Azure, AWS) to construct and oversee data lakes, data warehouses, and scalable data architectures.

• Employ Databricks for processing big data, conducting analytics, and managing real-time data processing.

• Partner with cross-functional teams to provide impactful data solutions.

• Utilize CI/CD pipelines to optimize the development, testing, and deployment of data engineering workflows.

• 3–6 years of experience in Data Engineering or similar roles.

• Strong proficiency in Python, SQL, and PySpark for data processing and manipulation.

• Practical experience with big data processing frameworks, data lakes, and cloud-native services.

• Bachelor’s or Master’s degree in Computer Science, Information Technology, Engineering, or a related field.

• Familiarity with data visualization tools such as Power BI, Tableau, or equivalent is advantageous.

• Health insurance.

• Professional development opportunities.

• Flexible working environment.

• Collaboration across global teams.

Data Engineer II

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