About the role:
As the Senior Consultant, you will have subject matter expertise area of end-to-end data management domain with a focus on data pipelining, modelling and analysis. You will have practical technical skills based on 7+ years’ experience in a lead data engineer capacity focused on a number technology stacks

Key Responsibilities:

• Develop ELT/ETL designs and data models for engagement involving data profiling, data migration, and end-to-end data management
• With experience in the Data Management arena, you have hands-on experience in cloud platforms such as Azure, AWS or GCP, especially in the data domain.
• You will also have detailed experience and skills in traditional ELT/ELT technologies
• You have a track record of client delivery, putting forward data solutions to meet client specific need
• You engage with clients utilising your excellent communication and presentation skills.

To be successful in this role you will have:

• Banking Industry Experience
• Strong experience with traditional data platforms, (e.g., SQL Server, Oracle, DB2)
• Experience with cloud-based data platforms (e.g., AWS, Azure, Google Cloud, OCI)
• Deep understanding of ETL, ELT, data wrangling, data modelling, handling of streaming data
• Good knowledge of one or multiple data programming languages (e.g., SQL, Python, R, Spark, Scala)
• Proficient with software engineering practices (e.g., coding standards, unit testing, version control, code review and Devops)
• Experience with data toolsets and expertise with using SQL queries to analyse and profile datasets
• Experience with popular SaaS data tools (e.g., Databricks, Snowflake, Informatica, Kafka )
• Data integration with ERP or other systems is a plus
• Awareness and understanding of data migration principles and processes including the ability to identify, define, document and communicate requirements
• Technology stack certifications are highly desired
• Banking or Financial experience a bonus
• Bachelor’s Degree in Computer Science, Engineering, or a relevant field
• A graduate degree in Data Science or other quantitative field is preferred

Next steps: For further information please contact Anu B at [email protected] or click below to Apply.