Senior Data Engineer

Description:

We are looking for a skilled and motivated Senior Data Engineer with expertise in PySpark/Spark, ETL processes, and data modeling. You will play a key role in data integration, infrastructure optimization, and real-time data processing for large-scale platforms.

💼 Key Responsibilities:
Design and implement ETL processes using tools like Informatica and Apache NiFi.
Optimize data workflows for scalability and efficiency.
Ensure data quality and integrity through validation, cleansing, and error handling.
Work with advanced big data technologies such as Hadoop (Cloudera), Kafka, Hive, and Iceberg.
Collaborate with cross-functional teams to build cutting-edge data solutions.

🌟 Required Skills:
Proficiency in ETL tools (Informatica, Apache NiFi) and data integration frameworks.
Expertise in big data technologies like Hadoop, Spark, Kafka, Hive, and Iceberg.
Hands-on experience with real-time data streaming (Spark Streaming, Kafka).
Strong understanding of data modeling and scalable system architecture.
Experience with Oracle Golden Gate, data quality assurance, and automation.

🎓 Preferred Qualifications:
Cloud platform experience (AWS, Azure, GCP) is a plus.
Knowledge of programming languages like Python, Java, or Scala.
Familiarity with relational and NoSQL databases.

🚀 Why Join Us?
Work with cutting-edge technologies and innovate in the banking domain.
Enjoy career growth opportunities in a fast-paced, dynamic industry.
Collaborate with talented professionals from across the globe.