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Custom Software Engineer

Accenture

Custom Software Engineer

Accenture

·

On-site

·

Full-time

·

5d ago

Required Skills

Data Engineering

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 Engineering

Good to have skills: NA

Minimum 3 year(s) of experience is required

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

Summary:

As a Custom Software Engineer, you will engage in the development of custom software solutions that involve designing, coding, and enhancing various components across systems or applications. Your typical day will include collaborating with team members to utilize modern frameworks and agile practices, ensuring the delivery of scalable and high-performing solutions that are tailored to meet specific business needs. You will also be involved in troubleshooting and optimizing existing software components to improve functionality and performance, while continuously seeking innovative approaches to enhance the overall software development process.

Roles & Responsibilities:

  1. Design, develop, and maintain scalable data pipelines and ETL processes to collect, process, and store large volumes of structured and unstructured data.
  2. Collaborate with data scientists, analysts, and business teams to understand data requirements and deliver reliable data solutions.
  3. Optimize data architecture for performance, reliability, and scalability.
  4. Implement data quality checks and monitor data integrity throughout the pipeline.
  5. Work with cloud platforms as AWS, GCP, Azure and big data technologies Spark, Hadoop, Kafka, etc.
  6. Manage and optimize databases and data warehouses. e.g: Redshift, BigQuery, Snowflake.
  7. Develop automation tools for data ingestion, transformation, and integration.
  8. Document data flows, architecture, and processes.
  9. Ensure compliance with data governance and security policies.

Professional & Technical Skills:

  1. Proven experience as a Data Engineer or in a similar role.
  2. Strong programming skills in Python, Pyspark, Java, or Scala.
  3. Experience with SQL and NoSQL databases.
  4. Familiarity with ETL tools and data pipeline frameworks. e.g: Apache Airflow, Luigi.
  5. Hands-on experience with cloud data services AWS Glue, Google Dataflow, Azure Data Factory.
  6. Knowledge of big data technologies such as Hadoop, Spark, Kafka.
  7. Strong problem-solving skills and attention to detail.
  8. Excellent communication and collaboration skills.
  9. Experience with containerization and orchestration tools Docker, Kubernetes.
  10. Knowledge of machine learning pipelines and data science workflows.
  11. Familiarity with data visualization tools Tableau, Power BI.

Additional Information:

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

Bachelors degree in Computer Science Engineering Information Technology or related field

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