EY Advisory_Data and Analytics _ ETL Developer (Traditional), Staff in Bangalore, India
Advisory_Data and Analytics _ ETL Developer (Traditional), Staff
Requisition # BLR0047L
Post Date Nov 12, 2019
EY's Financial Services Office (FSO) is a unique, industry-focused business unit that provides a broad range of integrated services that leverage deep industry experience with strong functional capability and product knowledge. FSO practice provides integrated advisory services to financial institutions and other capital markets participants, including commercial banks, investment banks, broker-dealers, asset managers (traditional and alternative), insurance and energy trading companies, and the Corporate Treasury functions of leading Fortune 500 Companies. The service offerings provided by the FSO Advisory include: market, credit and operational risk management, regulatory advisory, quantitative advisory, structured finance transaction, actuarial advisory, technology enablement, risk and security, program advisory, and process & controls.Within EY’s FSO Advisory Practice, Data and Analytics team solves big, complex issues and capitalize on opportunities to deliver better working outcomes that help expand and safeguard the businesses, now and in the future. We dive deep into big data to extract the greatest value and discover opportunities in key functions like Banking and Insurance. We help you to detect fraud using forensic data analytics, learn what customers really want, help create new business models, manage risk and support complex transaction decisions.We combine technical progression with our commercial know-how. But we don't start with technology. Instead, we start with a question: What are the key areas that require immediate assistance? Then we seek answers by analyzing the big data. This way we help create a compelling business case for embedding the right analytical practices at the heart of your decision-making.We also recognize that when it comes to data analytics, technology is only half of the equation. We help you deploy analytics into business processes at a stage where significant decisions are made by the management. Organizational processes, culture and the human element are as critical as technology for extracting the true value from data analytics.
Relevant experience focused on solving data & analytics challenges with solid experience preferably in Financial Services domain (Banking and Capital Markets or Wealth and Asset Management domains)
Lead components of large scale client engagements and/or smaller client engagements while consistently delivering quality client services.
Contribution and ability to lead towards the delivery of data integration solutions.
Understanding business and technical requirements and provision of subject matter expertise.
Putting into practice good organizational and time management skills, with the ability to prioritize and complete multiple complex projects under tight deadlines.
Monitor progress, manage risk, and effectively communicate with key stakeholders regarding status, issues and key priorities to achieve expected outcomes.
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
Conducting of data discovery activities, performing root cause analysis, and making recommendations for the remediation of data quality issues.
Provide product and design level technical best practices
Demonstrate strong technical capabilities and knowledge of building, designing and maintaining the data architecture for large volume risk data solutions
Should be able to guide the team in programming, database knowledge, data warehousing or big data applications.
Coach and develop junior colleagues across the Data Team
Experience (e.g. type of work, projects, area of business etc)
- BE/BTech/MCA/MBA with 10+ years industry experience
Experience working on Hadoop distribution systems (Cloudera /Hortonworks/MapR)
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
Data Integration experience on Kafka, Sqoop, Nifi, Flink, Talend, Informatica, DataStage etc
Experience with Big Data programming environments and competency in major analytics software packages and programming environments (e.g. Hadoop /Map-Reduce, Hive, Hbase, Spark, Storm, Python, R, Java etc.)
In depth understanding of data management concepts.
Experience with cloud systems such as AWS or Azure
Experience in NOSQL technologies like Hbase, Cassandra, MongoDB
Experience in ETL on Azure /AWS cloud and Databricks
Knowledge of data modelling tools (Power designer, Erwin, or other accepted standard tool), CI/CD Tools (Jenkins, Marvin, GIT)
Experience in Reporting and Analytics tools: PowerBI, QlikSense, Qlikview, Tableau, Spotfire, SAP BO
Knowledge in big data architecture patterns [Lambda, Kappa]
Strong proficiency in using query languages such as SQL, Hive and SparkSQL
Experience in Python, Spark and Scala programming languages
Should have worked on Databases (MySQL, Oracle, MSSQL, SQL Server 2008/2012)
Good knowledge of Shell Scripting and Linux
Knowledge of SDLC, Scrum, Agile methodologies
Prior client facing skills
Willingness to travel to meet client needs
Experience in converting business problems/challenges to technical solutions considering security, performance, scalability etc
Experience in enterprise grade solution implementations
Multi-tasking attitude, equally comfortable operating from within both the technology & business environments
Flexible and proactive/self-motivated working style with strong personal ownership of problem resolution excellent inter-personal skills
Ability to multi-task under pressure and work independently with minimal supervision
Self-starter who can work effectively with minimal day-to-day supervision
Strong problem-solving skills & proactive attitude
Client focused with good presentation, communication and relationship building skills
Up-to-date knowledge of the latest industry regulations and have a keen interest in future technology trends
Should be able to identify profitable opportunities, sell-on at client work, make a significant contribution in supporting a market proposition/capability and wider practice contribution