Expoint - all jobs in one place

מציאת משרת הייטק בחברות הטובות ביותר מעולם לא הייתה קלה יותר

Limitless High-tech career opportunities - Expoint

EY WAM-Data Analyst-Senior-TIAA 
India, Karnataka, Bengaluru 
326242343

07.07.2024

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
  • Minimum 7+ 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 Java and Python.
  • 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.
  • Significant programming experience in high-level languages such as Python, Java, Scala etc.,
  • 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



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.