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Highly Skilled Data Engineer Wanted
3 weeks ago
This role is a challenging opportunity for a highly skilled data engineer to lead on medium to complex products and product development. The successful candidate will apply advanced technical knowledge of data engineering principles and practices, coupled with specific data technology, domain expertise and thought leadership.
The Senior Data Engineer will be responsible for accelerating data delivery, providing data delivery guidance and developing strategic data products. This includes understanding business problems and devising data & analytics driven solutions, innovating to continuously identify opportunities to simplify, automate & improve data delivery speed, and delivering proof of concepts/ technical spikes and leading examples of accelerated data delivery using new solution patterns/ capabilities.
Key Responsibilities
- Accelerating data delivery
- Providing data delivery guidance
- Developing strategic data products
To be successful in this role, you will need to have:
- Over 2-4 years of experience at Senior data engineer level in large Banks/ organizations
- Good understanding of data delivery life cycle & associated concepts including data analysis, data profiling, data design, data modelling, data ingestion, data cleansing, data extraction, data definitions/dictionary, data lineage mapping, data classification, data quality, etc.
- Experience in Big Data solutions using Cloudera Hadoop eco-systems, Teradata platform using Spark/TCF and various ETL frameworks
- Experience with AWS Cloud platform and Snowflake
- Awareness of data modelling concepts/ frameworks, design patterns (FSLDM, IBM IFW DW, BIAN) and techniques such as Data Vault, Kimball, 3NF
- Sound skills in writing SQL scripts (Spark SQL or any RDBMS), scripting in Java or Python
- Sound experience in building data pipelines & ETL tools like Ab Initio
- Experience in designing and developing ETL test scripts for structured and unstructured data
- Sound skills testing solutions with large data volumes and complex data transformation rules