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Engaged Employer

Ernst & Young

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3.5

based on 10k Reviews

2 Ernst & Young Cloud Data Architect Jobs

GDS Consulting - AI and DATA - Cloud Data Architect - Senior Manager

Ernst Young

3.5

based on 10k Reviews

12-15 years

Kochi

1 vacancy

GDS Consulting - AI and DATA - Cloud Data Architect - Senior Manager

Ernst & Young

posted 7d ago

Job Role Insights

Flexible timing

Key skills for the job

Supply Chain Management Consulting Healthcare Project Management Clinical Data Management Presales

+ 4 more

Job Description

Your key responsibilities

Have proven experience in driving Analytics GTM/Pre-Sales by collaborating with senior stakeholder/s in the client and partner organization in CPR/P&U/Life Sciences. Activities will include pipeline building, RFP responses, creating new solutions and offerings, conducting workshops as well as managing in flight projects focused on cloud and big data.
Develop standardized practices for delivering new products and capabilities using Big Data technologies, including data acquisition, transformation, and analysis.
Interact with senior client technology leaders, understand their business goals, create, architect, propose, develop and deliver technology solutions
Define and develop client specific best practices around data management within a Hadoop environment or cloud environment
Recommend design alternatives for data ingestion, processing and provisioning layers
Design and develop data ingestion programs to process large data sets in Batch mode using HIVE, Pig and Sqoop, Spark
Develop data ingestion programs to ingest real-time data from LIVE sources using Apache Kafka, Spark Streaming and related technologies

Skills and attributes for success

Strong understanding & familiarity with all Big Data and Cloud.
Architect in desingning highly scalable solutions Azure, AWS and GCP.
Strong understanding of underlying Hadoop Architectural concepts and distributed computing paradigms
Experience in the development of Hadoop APIs and MapReduce jobs for large scale data processing.
Hands-on programming experience in Apache Spark using SparkSQL and Spark Streaming or Apache Storm
Hands on experience with major components like Hive, PIG, Spark, MapReduce
Experience working with NoSQL in at least one of the data stores - HBase, Cassandra, MongoDB
Experienced in Hadoop clustering and Auto scaling.
Good knowledge in apache Kafka & Apache Flume
Knowledge of Spark and Kafka integration with multiple Spark jobs to consume messages from multiple Kafka partitions
Knowledge of Apache Oozie based workflow
Hands-on expertise in cloud services like AWS, and/or Microsoft Azure
Solid understanding of ETL methodologies in a multi-tiered stack, integrating with Big Data systems like Hadoop and Cassandra.
Experience with BI, and data analytics databases
Experience in converting business problems/challenges to technical solutions considering security, performance, scalability etc.
Experience in Enterprise grade solution implementations.
Knowledge in Big data architecture patterns [Lambda, Kappa]
Experience in performance bench marking enterprise applications
Experience in Data security [on the move, at rest]
Strong UNIX operating system concepts and shell scripting knowledge

To qualify for the role, you must have

Flexible and proactive/self-motivated working style with strong personal ownership of problem resolution.
Excellent communicator (written and verbal formal and informal).
Ability to multi-task under pressure and work independently with minimal supervision.
Strong verbal and written communication skills.
Must be a team player and enjoy working in a cooperative and collaborative team environment.
Adaptable to new technologies and standards.
Participate in all aspects of Big Data solution delivery life cycle including analysis, design, development, testing, production deployment, and support.
Minimum 10 years hand-on experience in one or more of the above areas.
Minimum 12 years industry experience