EY WAM-DataAnalyst-Senior 

India, Karnataka, Bengaluru 

50485966

Key Responsibilities:

• Demonstrate strong technical capabilities and knowledge of building, designing and maintaining the data architecture for large volume data solutions
• Design solutions for data aggregation, improve data foundational procedures, integrate new data management technologies and software into the existing system and build data collection pipelines
• Should be able to guide the team in programming, database knowledge, data warehousing or big data applications.
• Lead components of large scale client engagements and/or smaller client engagements while consistently delivering quality client services.
• Monitor progress, manage risk, and effectively communicate with key stakeholders regarding status, issues and key priorities to achieve expected outcomes.
• Understanding business and technical requirements and provision of subject matter expertise.
• Conducting of data discovery activities, performing root cause analysis, and making recommendations for the remediation of data quality issues.
• Should be able to write effective, scalable python code
• Provide product and design level technical best practices
• Work with key stakeholders to define the delivery model based on resources, infrastructure landscape and SME availability
• Support the growth of the data migration / data warehouse & data integration practice through internal initiatives and identifying new business opportunities
• Coach and develop junior colleagues across the data team

Mandatory Experience:

• BE/BTech/MCA/MTech with adequate industry experience
• 3 - 9 years of experience on big data technologies and Python programming
• Exposure working on Markit EDM or Eagle platforms
• Very good experience on Big Data Analytics along with sound knowledge on Python and Java.
• Should have completed at least 2 full life cycle experience in data analytics project
• Establishing scalable, efficient, automated processes for large scale data analyses and management
• Discover, design, and develop analytical methods to support novel approaches of data and information processing
• Prepare and analyse historical data and identify patterns
• Prior experience and expertise in the following domain:
• Building or improving data transformation processes, data visualisations and applications
• Exposure to Kafka, Hadoop and data processing engines such as Spark or Hadoop MapReduce
• Big Data querying tools such as Pig or Hive or Impala
• Solutioning covering data ingestion, data cleansing, ETL, data mart creation and exposing data
• Must have experience working on Hadoop cluster, Big Data technologies like Python, Spark, etc. along with hands on experience in writing Java programs for Big data analytics.
• Excellent analytical (including problem solving), technical and team management skills
• Provide technical support for program management

Desired Experience:

• Experience working on Banking and Capital Markets or Wealth and Asset Management
• Familiar with data process, lineage, metadata and regulatory reporting requirements
• Experience with cloud systems such as AWS, Azure
• Experience using Agile methodologies
• Good to have programming experience (e.g. application development or scripting languages – Perl, VBasic, VBScript, Unix Shell scripts)
• Experience working with NoSQL in at least one of the data stores - HBase, Cassandra, MongoDB
• Prior Client facing skills

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