Experience more than 9 years is must for this role.
Skills and Experience:
Experience in design or development in Analytics and Data Warehousing projects.
Experience in building end-to-end solutions with the Big data platform, Spark or scala programming.
Solid experience in ETL pipeline building with spark or scala programming framework with knowledge in developing UNIX Shell Script, Oracle SQL/ PL-SQL.
Experience in building data pipelines using AWS services in Cloud Ecosystem.
Experience in Python and any other programming language is highly recommended.
Experience in building AI/GenAI powered engineering applications is highly recommended.
Experience in utilizing GenAI framework (Langchain, Llama, Hugging Face) and automation applications is highly desirable.
Experience with Oracle SQL database programming, SQL performance tuning, and relational model analysis is highly recommended.
Extensive experience with Teradata data warehouses and Cloudera Hadoop.
Proficient across Enterprise Analytics/BI/DW/ETL technologies such as Teradata Control Framework, Tableau, OBIEE, SAS, Apache Spark, Hive
Responsibilities:
Understand our customers' core business objectives and build end-to-end data centric solutions to address them.
Lead or participate in the definition, execution and communication of ETL strategy and technical solution.
Development of data staging, architecture and consuming internal and external application interfaces
Cooperate with business and operational users, other data management staff and infrastructure teams to ensure adherence to client and company guidelines, restrictions and requirements as well as industry standards.
Participate in the full lifecycle of agile projects (ideation through implementation)
Designs technical solutions and consumption patterns for business requirements with increasing complexity.
Adhere to the Code of Conduct. The Code of Conduct sets the standards of behavior, actions and decisions we expect from our people.
Produce high quality, sustainable solutions to meet business requirements, leveraging approved delivery frameworks
Influence and guide stakeholders to ensure that solutions are robust, secure and highly available
Uplift the quality of technical solutions by applying industry best practice
Role model continuous improvement mindset in team and project interactions
Contributor to delivery planning, providing guidance to ensure that technical deliveries are aligned to engineering direction and strategy.