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121 Accenture Data Engineer Jobs

Data Engineer

3-6 years

₹ 5.76 - 10.5L/yr (AmbitionBox estimate)

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This is an estimate of the average salary range for this position. It has not been reviewed by the company, and the actual salary may differ.

Bangalore / Bengaluru

1 vacancy

Data Engineer

Accenture

posted 6d ago

Job Role Insights

Flexible timing

Job Description


Project Role :
Data Engineer


Project Role Description :
Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems.
Must have skills :Data Analytics

Good to have skills :
Data Engineering
Minimum 3 year(s) of experience is required

Educational Qualification :
Must have minimum 15 years of full time education
Summary:As a Data Analyst, you will be responsible for analyzing and interpreting complex data sets using your expertise in Data Analytics. Your typical day will involve designing, developing, and maintaining data solutions for data generation, collection, and processing. You will create data pipelines, ensure data quality, and implement ETL processes to migrate and deploy data across systems.
Roles & Responsibilities:
  • Design, develop, and maintain data solutions for data generation, collection, and processing.
  • Create data pipelines, ensure data quality, and implement ETL processes to migrate and deploy data across systems.
  • Conduct detailed analysis of complex data sets, employing statistical methodologies and data munging techniques for actionable insights.
  • Collaborate with cross-functional teams, applying expertise in diverse machine learning algorithms, including experience in implementing various algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms.
  • Communicate technical findings effectively to stakeholders, utilizing data visualization tools like Tableau or Power BI for clarity. General responsibilities:
  • IT / Data analysis and requirements definition
  • Responsible for designing data models and schema
  • Works closely with Data Strategy team to understand data requirements and translate them into a data model
  • Collaborates with IT teams to implement the data model in the organization's systems
  • Designs and manages data transformations and data pipelines
  • Develops, documents and maintains the data catalog and transformation rulesProfile:
  • Expertise in capturing and documenting business requirements and converting these into the foundation for IT design and development
  • Clarify, document, and communicate functional and non-functional requirements by using data, process or information modelling, in order to drive delivery of change in alignment with the target picture and to enable sustainable solutions
  • As a technical mentor build and provide technical and business expertise for the development / purchase & configuration of software applications, decision proposals, or feasibility studies
  • Understand the structure, dynamics, terminology and IT applications of the international payment systems and work closely with stakeholders in business, IT and external partners on such topics
  • Able to work independently with defined problems on a highly-complex level within specific platform and competence area.
  • Ability to take partial responsibility for technically complex projects
  • Proven track record of performing analysis of potential solutions
  • Technical literacy, knowledge of relevant tools and technologies
  • Experience from the financial sector driving technical projects with many technical stakeholders
  • Preferable working experience within the areas of financial crime and/or transaction monitoring systems (AML)
  • Being able to explain and report technical complexity in a less technical languageSkillset/Comment:
  • Able to drive and support requirements and design maturation
  • For initial stage (Task Force mode) able to mature the delivery into a business case / epic as well - potential proof of concept
  • Experience in Transaction Monitoring and associated case management is highly desirable
  • Experience from formulating user stories in Jira and Confluence is valuable Additional Information:
  • The ideal candidate will possess a strong educational background in statistics, mathematics, computer science, or a related field, along with a proven track record of delivering impactful data-driven solutions.
  • This position is based at our Bengaluru & Pune office.
  • Must have minimum 15 years of full time education.
  • Must have Good Communication skill.QualificationMust have minimum 15 years of full time education

  • Employment Type: Full Time, Permanent

    Read full job description

    Accenture Interview Questions & Tips

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    Top Accenture Data Engineer Interview Questions

    Q1. What all the optimisation are possible to reduce the overhead of reducing the reading part of large datasets in spark ?
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    Q2. Write a sql query to find the name of person who logged in last within each country from Person Table ?
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    What Data Engineer at Accenture are saying

    4.0
     Rating based on 188 Data Engineer reviews

    Likes

    Nothing

    Dislikes

    no salary hike or promotion after joining. Always delay in salary hike and promotion stating that company is in loss. No work life balance. You will have to work on weekends also without any incentives. No Recognition/credits of your good work.

    Read 188 reviews

    Data Engineer salary at Accenture

    reported by 2.2k employees
    ₹4.2 L/yr - ₹15.1 L/yr
    17% less than the average Data Engineer Salary in India
    View more details

    What Accenture employees are saying about work life

    based on 53k employees
    66%
    85%
    68%
    76%
    Flexible timing
    Monday to Friday
    No travel
    Day Shift
    View more insights

    Accenture Benefits

    Free Transport
    Cafeteria
    Work From Home
    Gymnasium
    Health Insurance
    Soft Skill Training +6 more
    View more benefits

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