Ernst & Young

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EY GDS – Data and Analytics (D&A) – Azure/Databricks Architect

We’re looking for candidates with strong technology and data understanding in big data engineering space, having proven delivery capability. This is a fantastic opportunity to be part of a leading firm as well as a part of a growing Data and Analytics team.

Your key responsibilities

• Architecting big data solutions in a cloud environment using Azure Cloud services
• ETL design, development, and deployment to Cloud Service
• Interact with Onshore, understand their business goals, contribute to the delivery of the workstreams
• Develop standardized practices for delivering new products and capabilities using Big Data technologies, including data acquisition, transformation, and analysis.
• Define and develop client specific best practices around data management within a Hadoop environment on Azure cloud
• Recommend design alternatives for data ingestion, processing, and provisioning layers

Skills and attributes for success

• 8+ years of experience in architecting big data solutions with proven track record in driving business success
• Hands-on expertise in cloud services like Microsoft Azure
• Experience with databricks, python, and ADF
• 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
• Strong understanding & familiarity with all Hadoop Ecosystem components and Hadoop administrative Fundamentals
• 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
• 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] and knowledge of data standards like APRA, BASEL etc
• Design and develop data ingestion programs to process large data sets in Batch mode using HIVE, Pig and Sqoop technologies
• Develop data ingestion programs to ingest real-time data from LIVE sources using Apache Kafka, Spark Streaming and related technologies
• Strong UNIX operating system concepts and shell scripting knowledge
• Knowledge of microservices and API development

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 6 years hand-on experience in one or more of the above areas.
• Minimum 8 years industry experience

EY | Building a better working world 

EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. 

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