Design and implement data pipelines, ETL/ELT workflows, and data models on OCI.
Drive data integration, transformation, and storage solutions to support analytics, reporting and enterprise applications.
Lead the design, development and implementation of complex data structures, data models, and database schemas using other relevant technologies.
Requirements
7+ years of IT experience.
At least 6+ years of experience working as an OCI Data Engineer.
Bachelor’s/master’s degree in computer science/engineering, operations research or related analytics areas.
Strong experience with Oracle cloud Infrastructure (OCI) data services: Object Storage, Data Integration, OCI Data Flow (Apache Spark).
Experience in Big Data Services (BDS) on OCI.
Proficient with ETL/ELT processes and tools like OCI Data Integration, Oracle GoldenGate, or another equivalent.
Expertise in SQL, PL/SQL and performance tuning on Oracle-based databases.
Expertise in Data Warehouse concepts and knowledge of Data models to be implemented on Oracle-based databases.
Experience working with Python, Pyspark or Scala for data engineering work.
Working experience of Oracle BI and Power BI.
Familiarity with Data Lakehouse concepts and architecture.
Implement data governance, data quality and data security best practices.
Strong leadership and mentoring skills, with the ability to guide and inspire a team.
Experience of collaborating with cross-functional teams and managing client and stakeholder expectations.
Tech Stack
Apache
Cloud
ETL
Oracle
PySpark
Python
Scala
Spark
SQL
Benefits
Analytics requires different skill sets at different levels within the organization.
At EXL Analytics, we invest heavily in training you in all aspects of analytics as well as in leading analytical tools and techniques.
We provide guidance/ coaching to every employee through our mentoring program wherein every junior level employee is assigned a senior level professional as advisors.