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Requirement for Big Data Analyst

3.00 to 5.00 Years   Hyderabad   24 Apr, 2023
DBS Asia Hub 2
Job LocationHyderabad
EducationNot Mentioned
SalaryNot Disclosed
IndustryBanking / Financial Services
Functional AreaGeneral / Other Software
EmploymentTypeFull-time

Job Description

    *Senior Associate, Big Data Analyst, Consumer Banking & Core Engine Business Function Group Technology and Operations (T&O) enables and empowers the bank with an efficient, nimble and resilient infrastructure through a strategic focus on productivity, quality & control, technology, people capability and innovation. In Group T&O, we manage the majority of the Banks operational processes and inspire to delight our business partners through our multiple banking delivery channels.Roles & Responsibilities
    • The lead data analyst will provide big data analytics support to the Analytics Centre of Excellence
    • This role primarily covers partnering with the business and project leader to discover, analyse, process, and visualize the data to develop analytic solutions and support data science needs.
    • The role requires to be hands on, guiding and mentoring a team of analysts
    • Assemble large, complex data sets that meet functional / non-functional business requirements
    • Work with data consumers to enhance the analytic data infrastructure and develop data marts and feature marts to serve different analytics needs
    • Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using big data technologies
    • Perform data wrangling and feature engineering to support machine learning
    • Create helper functions to automate frequently encountered wrangling and feature engineering tasks
    • Execute queries on databases and resolve intricate questions in order to respond to the needs of stakeholders
    • Problem-solve computational and analytic challenges by investigating the data, understanding the root questions, and coming up with alternative measurement strategies
    • Write codes that are production-ready and reusable
    • Develop dashboards and other analytic capabilities to enable stakeholders make the right decisions at the right time
    Requirements
    • Bachelors/Masters in areas of data analytics or related fields
    • At least 10 years of industry experience in data analytics working in a big data environment
    • At least 3 years working experience in banking industry with business domain knowledge in retail banking
    • Highly proficient and extensive experience with data wrangling, transformation, data analysis, data validation and feature engineering using programming language such as Spark and Python. Excellent knowledge of SQL
    • Extensive experience on distributed compute frameworks like Apache Spark and Hadoop, including deployment and optimization activities
    • Proficient in using other big data technology, i.e., Cloudera Data Science Workbench, Airflow, Presto, Superset, Alluxio, S3, Confluence, JIRA and Bitbucket or their equivalents
    • Expertise in visualization using Qlikview, Tableau and Superset; with certifications
    • Experience in publishing and managing content, jobs, and permissions on visualization servers
    • Proven ability to balance competing priorities, workloads, and tight timelines in a fast-paced, dynamic work environment
    • Ability to communicate technical information to both technical and non-technical stakeholders
    ,

Keyskills :
salesmisqualitydata sciencedata analysisapache sparkinsurance

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