Senior Specialist - Data Engineering

As an integral member of our delivery team, the Senior Specialist - Data Engineering is responsible for the design, development, implementation, management and support of mission critical enterprise BI reporting and Extract, Transform, Load (ETL) processes and environments. You will drive the adoption of the Analytics and Reporting experience by proto typing and showcasing the dashboards to collect additional feedback and build additional requirements in iterative manner. Working with business and cross-functional teams, you will be required to gather, document, and approve business requirements for data analytics reporting projects, as well as robust data engineering capabilities to build pipelines and report via visualization tools. Using your skills and experience as a Senior Specialist - Data Engineering, you will design, develop and implement ETL processes to transform structured, unstructured and disparate source data into the target data store(s)/ data warehouse(s) / data mart(s).

Strategic:

• Support the development of data strategy and internal processes of the organization.
• Drive business to self-enable on the self-service analytics and provide enough support to upskill.
• Enable a data-driven strategy by recommending the best way to organize, analyse, and present data.
• Evaluate existing data and analytics systems and support planning of Data Analytics and Al roadmap.
• Build data community among the business and lead them deliver business value on data and embrace data as strategic asset.

Operational:

• Design and develop scalable and robust data pipelines for ingesting, processing, and transforming large volumes of data from various sources.
• Collaborate with data scientists, analysts, and stakeholders to understand data requirements and translate them into technical specifications and data models.
• Optimize and tune data pipelines for performance, reliability, and scalability.
• Implement data quality checks, validation rules, and monitoring systems to ensure data integrity and accuracy.
• Design and maintain data warehouses, data lakes, and other data storage systems.
• Develop and maintain data processing frameworks and tools to facilitate efficient data analysis and reporting.
• Expertise in data modelling using Star/Snowflake Schema Design, Data Marts, Relational and Dimensional Data Modelling, Fact and Dimensional tables, Physical and logical data modelling.
• Manage the business analytics portfolio for the respective business which you are going to lead.