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    Job · 16875579

    BENGALURU · FULLTIME

    Security Services Data Modelling & Engineering - Analyst

    JP Morgan Chase logo

    JP Morgan Chase

    Bengaluru · onsite · Posted 41d ago

    Sourced fromNaukri
    Undisclosed6–11 yrsfulltimeBengaluru

    About a minute. You'll make an account on the way through.

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    Section · 01

    About this role

    Make your mark building trusted data products on Databricks-grow your engineering skills while enabling insights and AI solutions across Securities Services.
    As a Data Engineer in the Securities Services Data Modelling and Engineering team within AI Transformation, you will build the data foundation that powers business insights, objectives and key results tracking, and AI enablement across JPMorganChase s Securities Services businesses. You will design and develop scalable data pipelines and reusable datasets on Databricks using Python and Spark. You will collaborate with Data Architects and Business Analysts to deliver high-quality, compliant, and business-driven solutions.
    Job Responsibilities:
    • Design, build, and optimize data pipelines and transformation workflows on Databricks using Python and Spark.
    • Collaborate with Data Architects and Business Analysts to develop robust data models aligned to business needs.
    • Document data flows, extract-transform-load logic, and transformation rules to a high standard.
    • Implement data quality checks and validation modules using Python.
    • Execute testing and validation processes to support accurate and reliable datasets.
    • Track work and progress in Jira to maintain transparency and accountability.
    • Register datasets and pipelines in relevant catalogues and consoles in line with governance and privacy standards.
    Required qualifications, skills, and capabilities:
    • Proven experience developing data pipelines and solutions on Databricks.
    • Proficiency in Python for data transformation, including libraries such as pandas.
    • Understanding of extract-transform-load concepts, data modelling, and pipeline design.
    • Experience using Spark.
    • Experience with cloud data platforms.
    • Ability to document data flows and transformation logic clearly and consistently.
    • Experience using Jira for project tracking.
    • Ability to collaborate effectively with Data Architects and Business Analysts.
    • Strong communication skills.
    Preferred qualifications, skills, and capabilities:
    • Experience in financial services or large enterprise data environments.
    • Knowledge of data governance, privacy, and compliance requirements.
    • Exposure to business analysis and requirements gathering.


    Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

    Sourced from naukri

    Section · 02

    Skills

    data qualityData Engineerdata transformationbusiness insightsBusiness Analysisdata modelsCloud DataDatabricksJira AtlassiancloudPandasCommunication SkillsData GovernanceFinancial ServicescomplianceAi SolutionsData PipelineArtificial Intelligence

    Section · Company

    About JPMorgan Chase & Co.

    JP Morgan Chase logo

    JP Morgan Chase

    Financial Services

    55k+

    employees

    1968

    58 years old

    Mumbai, Maharashtra

    United States

    ₹21.9L PA avg

    Avg at JPMorgan Chase & Co.

    About

    J.P Morgan is a global leader in financial services offering solutions to the world's most important corporations, governments and institutions.

    Industries

    Financial Services

    Employee ratings

    10 reviews

    3.9/ 5

    Culture

    2.6

    Career growth

    1.8

    Work-life

    3.0

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