About the Role
You will drive the adoption of the Analytics and Reporting experience by prototyping and showcasing dashboards to collect additional feedback and build additional requirements in an iterative manner. Your expertise as a Senior Specialist in Data Engineering will allow you to work with business and cross-functional teams 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. 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), or data mart(s).
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Responsibilities
- 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, analyze, and present data.
- Evaluate existing data and analytics systems and support planning of Data Analytics and AI roadmap.
- Build a data community among the business and lead them to deliver business value on data and embrace data as a strategic asset.
- 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.
- Manage the business analytics portfolio for the respective business which you are going to lead.
- Business analysis to gather required needs on overall analytic needs.
- Translate business requirements into specifications that will be used to drive data store, data warehouse, or data mart design and configuration.
- Proven track record in administering, developing, and implementing Data Warehousing using Alteryx and Business Intelligence (BI) applications using Power BI, Tableau, or Business Objects.
- Cloud knowledge on AWS, Azure, or Google platform for data warehouse.
- Transition developed BI systems to the Operations & Support team.
- Provide support as required to ensure the availability and performance of enterprise data and BI environments for both external and internal users.
- Ability to manage multiple priorities and assess and adjust quickly to changing priorities.
- Stay up to date with the latest trends, technologies, and best practices in data engineering and recommend innovative solutions to improve data infrastructure and processes.
Qualifications
- Bachelor’s or master's degree in computer science.
- Desired if certified in Data Warehousing, ETL, Analytics, and Reporting Solutions.
- 8 to 11 years of experience implementing Advanced Analytics, data engineering, and Reporting Solutions.
- Experience working with users in a requirements analysis role.
- Hands-on experience with Python for Data Engineering.
- Knowledge of using Airflow.
- Hands-on experience of working with multiple data sources and APIs.
- Good understanding of Algorithms and basic statistics.
- Extensive use of SQL and RDBMS systems (DB2, Oracle, SQL Server, etc.).
- Proficiency with Data Wrangling, Data Visualization, Analytics, and Reporting.
- Strong experience in Query Languages like PL/SQL, SQL Server, Spark SQL, and T-SQL.
