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Building Collaborate with cross-functional teams to understand data requirements and design data architectures that meet business needs.Develop, construct, test, and maintain data architectures, databases, and large-scale processing systems.
Design and implement ETL (Extract, Transform, Load) processes to ingest data from various sources and transform it into usable formats.
Optimize and enhance existing data pipelines for improved performance and reliability.
Ensure data quality, integrity, and security throughout the data lifecycle.
Collaborate with Data Scientists and Analysts to provide them with the necessary data resources for analysis and reporting.
Implement and manage data warehousing solutions for efficient storage and retrieval of data.
Stay up-to-date with emerging technologies and industry trends in data engineering.
3-5 years of experience working as a data engineer
Experience in Banking Industry is preferred.
Strong programming skills in languages such as Python, Java, Scala, or similar.
Experience with distributed computing frameworks like Hadoop, Spark, or Flink.
Proficiency in designing and maintaining databases (SQL and NoSQL).
Familiarity with data warehousing solutions and concepts.
Working knowledge of cloud platforms such as AWS, Azure, or Google Cloud.
Experience with data modeling, schema design, and optimization techniques.
Solid understanding of data management best practices and data governance.
Excellent problem-solving skills and attention to detail.
Strong communication and collaboration abilities.
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