Data Analytics Architect (4+ Years)
Budget: ₹150,000 – ₹250,000 INR
Hi,
We are looking for a Data Analytics Architect who will be responsible to lead complex ETL & Data Viz requirements & design and Performing an active role in shaping and enhancing overall ETL architecture with flexibility & scalability as the cornerstone.
Note - : Immediate or 2-4 weeks joiner will be preferred .
Key responsibilities of the Role:
• Guide the direction of the Digital Transformation team in Analytics & lead in identifying
opportunities within business, technology evaluations & selections.
• Support in establishing a roadmap for DaaS and may provide technical guidance and
leadership beyond the immediate team.
• Lead development of industry-standard ETL tools such as Informatica, Talend, Ab Initio, IBM DataStage etc. as they deliver a wide range of application or system solutions.
• Responsible for making innovative architecture & technology recommendations in the Analytics space for Biocon Biologics.
• Responsible to establish coding standards, ETL framework and standard data flow using the approved ETL tools across DaaS.
• Lead the discussion around business objectives related to Analytics & AI/ML across a variety of decision-makers including executives.
• Responsible for end-to-end development & implementation of the NextGen
Platform/Technology in Analytics ETL/Viz space.
• Review & provide inputs for solution architectures from Analytics/ETL/Data Architecture perspective.
• Collaborate closely with Digital Stakeholders to conduct proofs of concepts for emerging technologies & business concepts related to NextGen technologies in Analytics.
• Understand & influence Stakeholders on the latest industrial & academic developments in Analytics.
• Enhancing Development Capability assessment with a continuous learning approach to grow team expertise leveraging curated training curriculum.
Skills Required
- Well versed with skills like Artificial Intelligence, Clustering, Machine Learning, Random Forest & Regression.
- Knowledge of coding standards, ETL framework and standard data flow.
- Preferred from Pharma and Biosimilar industries.
We are looking for a Data Analytics Architect who will be responsible to lead complex ETL & Data Viz requirements & design and Performing an active role in shaping and enhancing overall ETL architecture with flexibility & scalability as the cornerstone.
Note - : Immediate or 2-4 weeks joiner will be preferred .
Key responsibilities of the Role:
• Guide the direction of the Digital Transformation team in Analytics & lead in identifying
opportunities within business, technology evaluations & selections.
• Support in establishing a roadmap for DaaS and may provide technical guidance and
leadership beyond the immediate team.
• Lead development of industry-standard ETL tools such as Informatica, Talend, Ab Initio, IBM DataStage etc. as they deliver a wide range of application or system solutions.
• Responsible for making innovative architecture & technology recommendations in the Analytics space for Biocon Biologics.
• Responsible to establish coding standards, ETL framework and standard data flow using the approved ETL tools across DaaS.
• Lead the discussion around business objectives related to Analytics & AI/ML across a variety of decision-makers including executives.
• Responsible for end-to-end development & implementation of the NextGen
Platform/Technology in Analytics ETL/Viz space.
• Review & provide inputs for solution architectures from Analytics/ETL/Data Architecture perspective.
• Collaborate closely with Digital Stakeholders to conduct proofs of concepts for emerging technologies & business concepts related to NextGen technologies in Analytics.
• Understand & influence Stakeholders on the latest industrial & academic developments in Analytics.
• Enhancing Development Capability assessment with a continuous learning approach to grow team expertise leveraging curated training curriculum.
Skills Required
- Well versed with skills like Artificial Intelligence, Clustering, Machine Learning, Random Forest & Regression.
- Knowledge of coding standards, ETL framework and standard data flow.
- Preferred from Pharma and Biosimilar industries.