
GenAI Big Data Engineer (Financial Services) Manager, Technology Consulting
Salary undisclosed
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- Participation in large-scale client engagements.
- Contribution towards, or even leading, the delivery of innovative and engaging big data solutions.
- Understanding of business and technical requirements, provision of subject matter expertise, and implementation of big data engineering techniques.
- Conducting of data discovery activities, performing root cause analysis, and making recommendations for the remediation of data quality issues.
- Putting into practice good organizational and time management skills, with the ability to prioritize and complete multiple complex projects under tight deadlines.
- Leverage technology to continually learn, improve service delivery and maintain our leading-edge best practices
- Strong presentation skills and proficiency in the use of PowerPoint, Word and Excel
- Good understanding of financial services industry
- Bachelor or Master's degree in computer science, Engineering, or other related fields.
- Minimally 6 years of relevant experience. Candidates with more than 9 years of relevant experience can be consider for Senior Manager position.
- Understanding or even practical experience of handling and manipulating semi-structured and unstructured data.
- Deep understanding of big data technology, concepts, tools, features, functions and benefits of different approaches available.
- Ability to deploy, manage, and administer Hadoop-based components.
- Ability to design, build, install, configure and support Hadoop-based applications.
- Experience with one of Java, Python, C# or C++.
- Experience with ETL tools such as Talend, Informatica, AWS Glue, Azure Data Factory. Hands-on experience with Talend is a plus.
- Hands-on experience with HiveQL.
- Familiarity with data ingestion tools such as Kafka, Flume and Sqoop.
- Knowledge of Hadoop related workflow/scheduling tools such as Oozie.
- Understanding of data modeling (ER models) techniques.
- Experience with investigating and handling data quality issues.
- Design or implementation experience of data models in physical form in one (or more) of the leading RDBMS platforms such as SQL Server, Oracle, IBM DB2/Netezza, Teradata, etc.
- Experience with Business Intelligence or statistical analysis tools and techniques.
- Strong communication and business relationship skills to effectively explain analysis, both verbally and in writing, to others and translate analysis into a clear business plan.
- Strong time management and organizational skills to gather and make use of data (both internal and external).
- Continuous learning: You'll develop the mindset and skills to navigate whatever comes next.
- Success as defined by you: We'll provide the tools and flexibility, so you can make a meaningful impact, your way.
- Transformative leadership: We'll give you the insights, coaching and confidence to be the leader the world needs.
- Diverse and inclusive culture: You'll be embraced for who you are and empowered to use your voice to help others find theirs.
- Participation in large-scale client engagements.
- Contribution towards, or even leading, the delivery of innovative and engaging big data solutions.
- Understanding of business and technical requirements, provision of subject matter expertise, and implementation of big data engineering techniques.
- Conducting of data discovery activities, performing root cause analysis, and making recommendations for the remediation of data quality issues.
- Putting into practice good organizational and time management skills, with the ability to prioritize and complete multiple complex projects under tight deadlines.
- Leverage technology to continually learn, improve service delivery and maintain our leading-edge best practices
- Strong presentation skills and proficiency in the use of PowerPoint, Word and Excel
- Good understanding of financial services industry
- Bachelor or Master's degree in computer science, Engineering, or other related fields.
- Minimally 6 years of relevant experience. Candidates with more than 9 years of relevant experience can be consider for Senior Manager position.
- Understanding or even practical experience of handling and manipulating semi-structured and unstructured data.
- Deep understanding of big data technology, concepts, tools, features, functions and benefits of different approaches available.
- Ability to deploy, manage, and administer Hadoop-based components.
- Ability to design, build, install, configure and support Hadoop-based applications.
- Experience with one of Java, Python, C# or C++.
- Experience with ETL tools such as Talend, Informatica, AWS Glue, Azure Data Factory. Hands-on experience with Talend is a plus.
- Hands-on experience with HiveQL.
- Familiarity with data ingestion tools such as Kafka, Flume and Sqoop.
- Knowledge of Hadoop related workflow/scheduling tools such as Oozie.
- Understanding of data modeling (ER models) techniques.
- Experience with investigating and handling data quality issues.
- Design or implementation experience of data models in physical form in one (or more) of the leading RDBMS platforms such as SQL Server, Oracle, IBM DB2/Netezza, Teradata, etc.
- Experience with Business Intelligence or statistical analysis tools and techniques.
- Strong communication and business relationship skills to effectively explain analysis, both verbally and in writing, to others and translate analysis into a clear business plan.
- Strong time management and organizational skills to gather and make use of data (both internal and external).
- Continuous learning: You'll develop the mindset and skills to navigate whatever comes next.
- Success as defined by you: We'll provide the tools and flexibility, so you can make a meaningful impact, your way.
- Transformative leadership: We'll give you the insights, coaching and confidence to be the leader the world needs.
- Diverse and inclusive culture: You'll be embraced for who you are and empowered to use your voice to help others find theirs.