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125 Accenture Data Engineer Jobs

Data Engineer

3-5 years

₹ 4.6 - 14.5L/yr (AmbitionBox estimate)

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Pune

1 vacancy

Data Engineer

Accenture

posted 25d 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 :Google Cloud Data Services

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

Educational Qualification :
standard 15 years
Summary:As a Data Engineer, you will be responsible for designing, developing, and maintaining data solutions for data generation, collection, and processing. Your typical day will involve creating data pipelines, ensuring data quality, and implementing ETL processes to migrate and deploy data across systems using Google Cloud Data Services.
Roles & Responsibilities:
  • Design, develop, and maintain data solutions for data generation, collection, and processing using Google Cloud Data Services.
  • Create data pipelines, ensuring data quality, and implementing ETL processes to migrate and deploy data across systems.
  • Collaborate with cross-functional teams to identify and resolve data-related issues and ensure data accuracy and consistency.
  • Develop and maintain data models, data dictionaries, and data flow diagrams to support data integration and data management processes. JOB SUMMARY & PRINCIPAL DUTIES:
  • A solid experience and understanding of considerations for large-scale solutioning and operationalization of data warehouses, data lakes and analytics platforms on GCP is a must.
  • Monitors the Data Lake constantly and ensures that the appropriate support teams are engaged at the right times.
  • Design, build and test scalable data ingestion pipelines, perform end to end automation of ETL process for various datasets that are being ingested.
  • Determine best way to extract application telemetry data, structure it, send to proper tool for reporting (Kafka, Splunk).
  • Create reports to monitor usage data for billing and SLA tracking.
  • Work with business and cross-functional teams to gather and document requirements to meet business needs.
  • Provide support as required to ensure the availability and performance of ETL/ELT jobs.
  • Provide technical assistance and cross training to business and internal team members.
  • Collaborate with business partners for continuous improvement opportunities.
  • Must have experience working in an Onshore/Offshore model.
  • Be responsible for removing any blockers to tasks, communicating with the client stakeholders to manage delivery risksRequirements JOB SPECIFICATIONS:Education:Bachelor's Degree in Computer Science, Information Technology, Engineering, or related fieldExperience, Skills & Qualifications:
  • 3+ years of experience in Data Engineering with an emphasis on Data Warehousing and Data Analytics.
  • 3+ years of experience with one of the leading public clouds.
  • 2+ years of experience in design and build of salable data pipelines that deal with extraction, transformation, and loading.
  • Mandatory Experience 3+ years of experience with Python with working knowledge on Notebooks.
  • Mandatory - 3+ years working on a cloud data projects
  • Nice to Have Scala experience.
  • Must have for Onshore candidate- 2+ years hands on experience on GCP Cloud data implementation projects (Dataflow, DataProc, Cloud Composer, Big Query, Cloud Storage, GKE, Airflow, etc.).
  • At least 2 years of experience in Data governance and Metadata Management.
  • Ability to work independently, solve problems, update the stake holders.
  • Analyze, design, develop and deploy solutions as per business requirements.
  • Strong understanding of relational and dimensional data modeling.
  • Experience in DevOps and CI/CD related technologies.
  • Excellent written, verbal communication skills, including experience in technical documentation and ability to communicate with business managers and executives. Additional Information:
  • The candidate should have a minimum of 3 years of experience in Google Cloud Data Services.
  • The ideal candidate will possess a strong educational background in computer science, information technology, or a related field, along with a proven track record of delivering impactful data-driven solutions.
  • This position is based at our Pune office.Qualificationsstandard 15 years

  • Employment Type: Full Time, Permanent

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    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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    What Data Engineer at Accenture are saying

    4.0
     Rating based on 191 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 191 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 53.1k 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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