Required Qualifications :

- Minimum 7 years of professional experience in data engineering, data integration, ETL/ELT development, or related areas.

- Strong hands-on experience with Databricks, including Apache Spark, PySpark, SQL, Delta Lake, and job orchestration.

- Strong proficiency in Python, PySpark, and advanced SQL.

- Experience building production-grade data pipelines using medallion architecture.

- Good working knowledge of AWS, particularly Amazon S3, IAM, and cloud-based data integration and processing.

- Experience integrating data from enterprise databases and SaaS applications, with working knowledge of PostgreSQL, Couchbase, Salesforce, and Oracle NetSuite.

- Understanding of JDBC, REST APIs, CDC, incremental ingestion, and batch processing.

- Experience working with structured, semi-structured, and JSON-based data.

- Strong knowledge of data modeling, data transformation, and data quality frameworks.

- Experience with Databricks Unity Catalog and data governance fundamentals.

- Experience with Git, CI/CD, automated testing, and production deployment practices.

- Strong troubleshooting, performance tuning, and problem-tuning capabilities.

- Ability to independently design, develop, test, and deploy enterprise data pipelines.