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Pharmaceutical company is looking for a Lead Data Engineer to join our Data, Analytics & AI (DA&AI) team in Operations IT. As part of our ground-breaking journey in Data DA&AI within Operations IT, we are advancing our Operation Data Hub (ODH) and adopting the Data Mesh architecture and ways of working.
**Responsibilities**:
Provide detailed design, aligned with the high level design provided by Solution Architects.
Support solution development, provide technical leadership, and oversee technical delivery across multiple initiatives.
Perform regular quality checks and validation on Data Engineering work delivered on projects under his/her leadership
Ensure efficient, secure, and compliant engineering and operation of data products.
Develop scalable solutions for various data use cases, including batch analytics, data warehousing, data mart, Big Data stack, and real-time analytics based on streaming.
Guide and collaborate with engineering teams responsible for data harvesting, storage, quality checks, transformation, and visualization.
Build reusable data products that enable self-service analytics and AI/ML workflows for Operations units.
Define engineering standards, processes, and roadmap in collaboration with solution architecture and Platform lead.
Drive the consolidation of technology stack and implementation of modern data engineering tools and platforms.
Provide technical leadership throughout the software development lifecycle, collaborating with teams in Chennai, UK, and Sweden.
Work closely with Enterprise Data & AI teams to leverage central Enterprise Data Platforms.
Utilize a collaborative delivery approach, using Agile or other appropriate methodologies as needed
**Requirements: To be successful in this role, you should have**:
Extensive experience as a Technical Lead for Data Analytics and Engineering Projects.
Ability to support solution development, provide technical leadership, and oversee delivery across multiple initiatives.
Experience leading engineers in matrix organizations.
Experience in managing technical delivery
Proficiency in owning technical delivery, working with solution architects, and ensuring detailed design and implementation.
Knowledge and experience in defining standard ways of working for Analytics and Engineering.
Experience working with international teams, including those in India, Mexico, and the US.
Expertise in a broad range of data tools, ETL frameworks, monitoring and data technologies, such as SAP HANA, SAP MDG, PowerBI, Qlik Sense, Qlik Replicate, EMR, Hudi, Collibra, Snowflake, DBT, AWS Kinesis.
Proficiency in visualization technologies, particularly Power BI and Qlik Sense.
Knowledge of Data Mesh and Data Product concepts, including experience in delivering and managing data products.
Familiarity with data architectures, including dimensional modelling.
Understanding of cloud-based data management services, such as AWS or equivalent.
Advanced SQL skills.
Experience in building scalable and high-availability analytics solutions.
Knowledge of continuous integration and continuous development practices.
Proficiency in data analysis, including profiling, investigating, interpreting, and documenting data structures.
Experience in identifying and executing data engineering activities for multiple initiatives.
