Jobs
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:
- 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.
- 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.
- 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.
- 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.
- 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.
- Partner closely with stakeholders to elicit requirements, design storyboard prototypes, and iterate on layouts and visuals based on user feedback and adoption metrics.
- 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.
- 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.
- 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.
- 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:
- Power BI Desktop and Service, DAX, Power Query- M,
- Python, Apache Py Spark, SQL, T-SQL, ANSI,
- Azure Data Factory, Databricks, ADLS Gen2, Unity Catalog, CI or CD tools like Git, Azure DevOps, data modeling, performance tuning.
- Strong problem-solving skills and attention to detail.
- Excellent communication and collaboration skills.
- Adaptability to changing priorities,
- Collaboration in cross-functional teams,
- Time management, and a continuous learning attitude
Additional Information:
- The candidate should have minimum 3 years of experience in Data Analytics.
- This position is based at our Bengaluru office.
- 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
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Dublin
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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
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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
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Behavioral/STAR
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