Job
Description
Mandatory Skills & Experience: 6 to 8 years of experience in data engineering, with strong experience in Oracle DWH/ODS environments. Minimum 3+ years hands-on experience in Databricks (including PySpark, SQL, Delta Lake, Workflows). Strong understanding of Lakehouse architecture, cloud data platforms, and big data processing. Proven experience in migrating data warehouse and ETL workloads from Oracle to cloud platforms. Experience with PL/SQL, query tuning, and reverse engineering legacy systems. Exposure to Pentaho and/or TIBCO Data Virtualization/Integration tools. Experience with CI/CD pipelines, version control (e.g., Git), and automated testing. Familiarity with data governance, security policies, and compliance in cloud environments. Strong communication and documentation skills. Preferred Skills (Advantage): Experience in cloud migration projects (AWS/Azure). Knowledge of Delta Lake, Unity Catalog, and Databricks workflows. Exposure to Kafka for real-time data streaming. Experience with ETL tools like Pentaho or Tibco will be an added advantage. AWS/Azure/Databricks certifications Tools & Technologies: Databricks, Oracle, Hadoop (HDFS, Hive, Sqoop), AWS (S3, EMR, Glue, Lamda, RDS) PySpark, SQL, Python, Kafka CI/CD (Jenkins, GitHub Actions), Orchestration (Airflow, Control-M) JIRA, Confluence, Git (GitHub/Bitbucket) Cloud Certifications (Preferred): Databricks Certified Data Engineer AWS Certified Solutions Architect/Developer
