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Custom Software Engineer

Accenture

Custom Software Engineer

Accenture

·

On-site

·

Full-time

·

5d ago

Required Skills

Data Analytics

Power BI

DAX

Python

SQL

Project Role: Custom Software Engineer

Project Role Description: Develop custom software solutions to design, code, and enhance components across systems or applications. Use modern frameworks and agile practices to deliver scalable, high-performing solutions tailored to specific business needs.

Must have skills: Data Analytics

Good to have skills: Data Modeling Techniques and Methodologies, PySpark, Databricks Unity Catalog

Minimum 3 year(s) of experience is required

Educational Qualification: A Bachelors degree in Computer Science Engineering Information Technology or related field is required

Summary:

As a Custom Software Engineer, you will engage in the development of custom software solutions that are designed to meet specific business needs. Your typical day will involve collaborating with team members to design, code, and enhance various components across systems or applications. You will utilize modern frameworks and agile practices to ensure that the solutions you deliver are scalable and high-performing, contributing to the overall success of the projects you are involved in.

Roles & Responsibilities:

  1. Design and build multi-page, interactive Power BI dashboards featuring drill-throughs, bookmarks, custom visuals, and role-based filters to deliver tailored, actionable insights for diverse business users.
  2. Develop complex DAX measures, calculated tables, and time-intelligence functions to support dynamic KPI reporting and scenario modeling directly within the Power BI data model.
  3. Leverage Power Query, M-Query to perform advanced data transformations such as unpivoting, merging, conditional logic, and parameterization ensuring source data is cleansed and shaped for optimal dashboard performance.
  4. Configure and maintain on-premises or cloud Power BI Gateways, automate incremental and full refresh schedules, and troubleshoot connectivity issues to guarantee up to date reporting.
  5. Optimize report and data model performance through query folding, aggregation tables, star-schema design patterns, and best-practice visuals to minimize load times and enhance user experience.
  6. Partner closely with stakeholders to elicit requirements, design storyboard prototypes, and iterate on layouts and visuals based on user feedback and adoption metrics.
  7. Architect and implement end to end ETL pipelines in Azure Data Factory, orchestrating data ingestion, transformation, delivery, error handling, and monitoring for reliable data flows.
  8. Develop and maintain Py Spark notebooks on Azure Databricks to execute complex KPI logic, data cleansing, and aggregation workflows, supplemented by SQL scripts to validate ETL outputs and reconcile key metrics.
  9. Provision, secure, and govern data in Azure Data Lake Storage Gen2 via Unity Catalog, managing access controls, data lineage, schema evolution, and audit trails in compliance with organizational policies.
  10. Operate within an Agile or Scrum framework participating in sprint planning, daily stand-ups, backlog grooming, and retrospectives and perform root cause analyses to identify data quality and performance issues, implementing preventive measures

Professional & Technical Skills:

  1. Power BI Desktop and Service, DAX, Power Query- M,
  2. Python, Apache Py Spark, SQL, T-SQL, ANSI,
  3. Azure Data Factory, Databricks, ADLS Gen2, Unity Catalog, CI or CD tools like Git, Azure DevOps, data modeling, performance tuning.
  4. Strong problem-solving skills and attention to detail.
  5. Excellent communication and collaboration skills.
  6. Adaptability to changing priorities,
  7. Collaboration in cross-functional teams,
  8. Time management, and a continuous learning attitude

Additional Information:

  1. The candidate should have minimum 3 years of experience in Data Analytics.
  2. This position is based at our Bengaluru office.
  3. A Bachelors degree in Computer Science Engineering Information Technology or related field is required.

A Bachelors degree in Computer Science Engineering Information Technology or related field is required

About Accenture

Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.
Visit us at www.accenture.com

Equal Employment Opportunity Statement

We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, military veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by applicable law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.

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About Accenture

Accenture

Accenture

Public

Let there be change.

10,001+

Employees

Dublin

Headquarters

Reviews

4.0

10 reviews

Work Life Balance

3.5

Compensation

4.0

Culture

4.2

Career

4.1

Management

4.0

75%

Recommend to a Friend

Pros

Great learning and development opportunities

Supportive and collaborative work environment

Good career growth and networking opportunities

Cons

Need to be proactive in finding projects

Long hours during busy periods

Very competitive environment for advancement

Salary Ranges

33 data points

L2

L3

L4

L5

L6

L2 · Business Analyst L2

0 reports

$63,830

total / year

Base

$25,532

Stock

$31,915

Bonus

$6,383

$44,681

$82,979

Interview Experience

6 interviews

Difficulty

2.7

/ 5

Duration

14-28 weeks

Offer Rate

17%

Experience

Positive 0%

Neutral 50%

Negative 50%

Interview Process

1

Application Review

2

Recruiter Screen

3

Technical/Task-Based Interview

4

Final Interview

5

Offer

Common Questions

Technical Knowledge

Behavioral/STAR

Past Experience

Case Study