Cloud Data Architect – Public Cloud

1 week ago

Bengaluru, Karnataka, India Getronics Full time

Job Overview

The Cloud Data Lead is a senior role responsible for owning end-to-end technical responsibilities. This includes ensuring the best architecture and support are provided to the customer on behalf of Getronics. The successful candidate will be the technical and people point of contact for Public Cloud Delivery team customer engagements and will be responsible for supporting the transition phase of existing or new customers.
Main Responsibilities

• Prepare the KMAP of the team and create an upskill/training plan
• Review and update of Project specific documentation
• Plan and guide the team in managing day-to-day activities
• Assist in technology decision-making and propose the best solution to the client for the capabilities/solutions we have during deal solution conversations
• Contribute to developing platforms that make data across applications/application deployments available for AI/ML-driven feature prototyping, proofs-of-concept, and general availability
• Assist in refining data pipelines for analysis, while refining, automating, and scaling as needed for the use case at hand
• Work on various aspects of the AI/ML ecosystem – data modeling, data, and ML pipelines, data documentation, scaling, deployment, monitoring, and maintenance etc.
• Work closely with Data scientists and MLOps Engineers to come up with scalable system and model architectures for enabling real-time ML/AI services
• Develop, program, and maintain applications using the Apache Spark open-source framework
• Work with different aspects of the Spark ecosystem, including Spark SQL, Data Frames, Datasets, and streaming
• Familiar with big data processing tools and techniques Create Spark jobs for data transformation and aggregation
• Produce unit tests for Spark transformations and helper methods
• Assist in designing data processing pipelines, creation and maintenance of optimal data pipeline architecture
• Assemble large, complex data sets that meet functional/non-functional business requirements
• Assist in building analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics
• Create data tools for analytics and data scientist team members that assist them in building and optimizing our offerings
• Build processes supporting data transformation, data structures, metadata, dependency, and workload management
• Provide the team with technical direction(s)/approach(es) to be undertaken and guide them in the resolution of queries/issues etc.
• Attend/drive various architectural, design, and status calls with multiple stakeholders
• Ensure end-to-end ownership of all tasks is aligned
• Test implementation, troubleshooting, and correct problems
• Capable of working as an individual contributor and within a team too
• Conduct technical training(s)/session(s), write whitepapers/case studies/blogs, etc
Requirements

• More than 10+ years of experience which can include IT infrastructure, Cloud, and Data areas
• Minimum of 3 years experience managing a team containing a mix of Data skills
• Strong analytic skills related to working with unstructured datasets
• A successful history of manipulating, processing, and extracting value from large, disconnected datasets
• Working knowledge of message queuing, stream processing, and highly scalable 'big data' data store
• Agile/Scrum methodology experience is required
• Expertise in designing and developing applications using Big Data and Cloud technologies
• Hands-on experience on Spark, and Hadoop ecosystem components
• Hands-on experience of any of the Cloud (AWS/Azure)
• Good knowledge of Shell script & Java/Python
• Passionate about exploring new technologies
• Good Communication Skills
• 5+ years of experience understanding architecture-related distributed data systems, specifically within one of the following:
o Data Engineering technologies Spark, Hadoop, Kafka)
o Data Warehousing SQL, OLTP/OLAP/DSS)
o Data Science and Machine Learning technologies pandas, sci-kit-learn, HPO)
• Knowledge of migration projects on Hadoop will be good to have
• Knowledge of Agile Development will be good to have
• Knowledge of one of the Workflow engines like Oozie, Autosys will be good to have
• Expertise in preparing Proposal/SOW will be good to have
Certifications

• In one or more of the following areas
o Data Engineering technologies Spark, Hadoop, Kafka)
o Data Warehousing SQL, OLTP/OLAP/DSS)
o Data Science and Machine Learning technologies pandas, sci-kit-learn,HPO)
• Microsoft Azure or AWS Cloud or Data certifications
• ITIL and or Agile methodologies
Education

• Bachelor/Masters's Degree from a reputed institute

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