We are looking for an experienced Oracle Big Data Appliance (BDA) Engineer with a minimum of 5+ years of hands-on experience in designing, implementing, and managing large-scale data platforms.

The role involves working with Oracle Big Data technologies, Hadoop ecosystems, and Oracle Cloud integrations to build scalable and high-performing data solutions.

Key Responsibilities :

- Design, configure, and administer Oracle Big Data Appliance (BDA) environments.

- Perform installation, patching, upgrades, and performance tuning of BDA components.

- Integrate BDA with Oracle Database, Oracle Cloud Infrastructure (OCI), and other data sources.

- Manage and support the Hadoop ecosystem HDFS, Hive, HBase, Spark, Kafka, Oozie, and Sqoop.

- Ensure system reliability, performance, and scalability across distributed environments.

- Collaborate with data engineering and analytics teams to support ETL, data pipelines, and reporting.

- Automate operational tasks through shell scripting , Python and Spark.

- Implement and manage security, backup, and data recovery for big data environments.

- Monitor, troubleshoot, and optimize big data workloads for performance and efficiency.

- Scheduling with Airflow DAG.

Required Skills :

- 5+ years of hands-on experience in Oracle Big Data Appliance (BDA) administration and support.

- Strong understanding of Hadoop ecosystems (Cloudera/Hortonworks).

- Proficiency in Linux administration, shell scripting, and Python.

- Experience with Oracle Database, Big Data SQL, No SQL, Oracle Data Integrator (ODI), OBIEE or GoldenGate.

- Familiarity with data lake architecture, data governance, and security best practices.

- Experience with performance tuning and troubleshooting in big data environments.

- Working knowledge of Oracle Cloud Infrastructure (OCI) or similar cloud platforms.

- Knowledge on other ETL tools (Talend / Informatica etc.)

- Knowledge of Oracle EBS data flow into BDA instance.

- Experience working with Oracle Analytics Products (OBIEE, OAC , BI Apps, OAS).

Preferred Qualifications :

- Oracle Certified Professional Oracle Big Data or Oracle Database certification.

- Experience with Oracle Autonomous Data Warehouse (ADW).

- Exposure to machine learning or data science frameworks.

- Prior experience in cloud migration or hybrid architecture projects.

- Experience working with Oracle BI apps or other Oracle Analytics related projects.

Education :

- Bachelors or Masters degree in Computer Science, Information Technology, or a related field.