Vacancy expired!
- Serve as liaison between the business users and the big data technical team.
- Understand Business requirements for the Data Science projects and translate that into design.
- Participate in Design and Technical Reviews & Daily Project Scrums.
- Lead a team of data engineers and visualization experts within the organization and oversee vendor teams to implement advanced analytics solution.
- Contribute to the big data platform strategy and vision working with the architects, data scientists and data engineers.
- Collaboratively work with the data scientists to understand the algorithms outcomes and the impact on the business process and data solutions for the use case.
- Understand business and operational processes and how that relates to the advanced analytics use case.
- Define innovative solutions, constantly exploring & challenging product capabilities, liaise with the product owners, data owners and subject matter experts within the organization.
- Provide a long-term perspective for business and technology choices using technical judgement to examine architecture as required.
- Lead on defect resolution and help the development teams with technical expertise.
- Perform gap analysis and provide guidance on the big data analytics issues to the development teams.
- Use DevOps/Agile Development methodologies in data science implementation.
- Ensure reusability of data across various data analytics use cases.
- Work in an agile environment with evolving demands and increasing expectations.
- Ensure use of big data analytics framework in use case implementation.
- Demonstrate expert problem-solving skills.
- Identify and clearly articulate and solve complex business problems and present them to the business user, product owners and management in a structured and simpler form.
- Resolve and/or escalate issues in a timely manner to the line manager and project manager.
- Lead cross-functional projects using advanced data modeling and analysis techniques to discover insights that will guide strategic decisions and uncover optimization opportunities.
- Design and build technical processes to address business issues.
- Adhere to the change management processes and work with vendor teams to perform go live activities
- 3+ years of extensive work experience in Big Data as developer and Tech Lead.
- 7+ years of experience in building data analytical solutions.
- Experience of working with large and multiple datasets, data warehouses and ability to pull data using relevant programs and coding.
- Strong SQL skills, ability to perform effective querying involving multiple tables and subqueries.
- Working knowledge of data mining principles: predictive analytics, mapping, collecting data from multiple data systems on premises and cloud-based data sources.
- Understanding of and experience using analytical concepts and statistical techniques: hypothesis development, designing tests/experiments, analyzing data, drawing conclusions, and developing actionable recommendations for business units.
- Knowledge of data collection and analysis tools.
- Proficient and experienced with the following tools, programs and technologies:
- Programming experience with languages like Java, Python, Scala, Spark, SQL, Data frames API etc.
- Knowledge and experience of using Big Data tools and technologies like Hadoop, Hive, Apache Spark, Sparx EA, Kafka
- Knowledge of Machine Learning Algorithms, Pattern Mining/Detection.
- Experience with DevOps and testing tools.
- Experience with data visualization tools: MicroStrategy, PowerBI, Business Objects etc.
- Experience with Agile Project Methodologies.
- Experience in leading ML Ops, Dev Ops projects will be an advantage.
- Bachelor of Science in Business or related Analytic Degree required.
- Certificate in big data technologies desired.