We are looking for a skilled and proactive Data Engineer to join our data team at a leading fintech company. You will work closely with business and technical teams to design and implement high-performance data pipelines, delivering accurate and timely insights that power decision-making in financial operations, risk analytics, and product performance.


Key Responsibilities

• Design, develop, and maintain end-to-end data pipelines from MongoDB, MySQL, PostgreSQL, and other sources into the Oracle Data Warehouse using ODI, Python, and Apache Kafka.
•  Build and optimize real-time streaming pipelines using Apache Kafka for analytics and reporting.
•  Translate business requirements into optimized SQL queries and analytical models.
•  Develop and maintain dashboards and analytical reports using OBIEE and Metabase.
•  Collaborate with cross-functional teams to deliver data-driven solutions to complex business problems.
•  Ensure data quality, governance, and documentation are maintained across all pipelines and systems. 

Required Qualifications

• 3+ years of experience in Data Engineering, Business Intelligence, or a related role.
•  Hands-on experience with Oracle Database, ODI, and OBIEE in production environments.
•  Strong proficiency in SQL and best practices for data transformation.
•  Solid Python skills for scripting, automation, and data analysis.
•  Experience with Apache Kafka for real-time analytics.
•  Ability to translate complex business needs into efficient queries and analytical outputs.
•  Strong problem-solving and analytical thinking skills.
•  Effective communication skills to present technical findings to non-technical stakeholders. 

Preferred Qualifications

• Experience with StarRocks or other real-time analytics databases.
•  Familiarity with stream processing frameworks such as Apache Flink or Apache Spark.
•  Experience with other BI tools or reporting platforms.
•  Experience in fintech or other high-transaction environments.