Experience Required: 8 to 12 Years

Location: Remote

Job Summary:

We are looking for a highly skilled and experienced Data Engineer with robust expertise in Databricks , PySpark , and big data technologies . The ideal candidate will play a key role in designing, building, and optimizing scalable data pipelines and analytics solutions to support business decision-making.

Key Responsibilities:

- Design, develop, and maintain scalable data pipelines using Databricks and PySpark .
- Work with large-scale structured and unstructured data from various sources.
- Optimize data workflows for performance and reliability.
- Collaborate with data scientists, analysts, and business stakeholders to understand data requirements.
- Implement data quality checks, monitoring, and alerting mechanisms.
- Ensure data security and compliance with governance policies.
- Participate in code reviews and contribute to best practices in data engineering.





Required Skills & Qualifications:

- 8–12 years of experience in data engineering or related roles.
- Strong hands-on experience with Databricks and Apache Spark (PySpark) .
- Proficiency in Python and SQL.
- Experience with cloud platforms such as Azure , AWS , or GCP (preferably Azure).
- Solid understanding of ETL/ELT processes , data warehousing , and data modeling .
- Familiarity with Delta Lake and Parquet formats.
- Experience with CI/CD pipelines and version control (e.g., Git).
- Excellent problem-solving and communication skills.

Preferred Qualifications:

- Knowledge of data governance , security , and compliance standards.
- Exposure to real-time data processing using tools like Kafka or Spark Streaming.

📌 Senior Data Engineer – Databricks & PySpark (India)
🏢 Propelis
📍 India