
Digital Transformation Data Engineer
2 days ago
As a highly skilled Data Engineer, you will play a pivotal role in designing and implementing cutting-edge data platforms that drive business growth and customer satisfaction.
- Design and develop data pipelines for large-scale datasets using AWS technologies such as S3, Redshift, Glue, and EMR.
- Develop high-quality data models and ETL processes to ensure data accuracy and availability.
- Collaborate with data scientists and BI engineers to adopt best practices in reporting and analysis.
Our ideal candidate has strong experience with data pipeline tools such as Airflow and Spark, and is well-versed in data modeling and quality best practices. Additionally, excellent problem-solving and analytical skills are essential for this role.
Key Requirements:- Strong understanding of AWS technologies and experience with data pipeline tools such as Airflow and Spark.
- Experience with data modeling and data quality best practices.
- Excellent problem-solving and analytical skills.
- Strong communication and teamwork skills.
- Experience in at least one modern scripting or programming language such as Python, Java, or Scala.
- Experience with Non-relational databases and data stores.
- Building and operating highly available, distributed data processing systems for large datasets.
- Professional software engineering and best practices for the full software development life cycle.
We value diversity, equity, and inclusion, and are committed to creating a workplace culture that is inclusive, respectful, and empowering. If you are passionate about digital transformation and innovation, join us in shaping the future of banking
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