The Role
Design, build, and maintain scalable data pipelines and ETL processes using cloud and big-data technologies. Collaborate with data teams to optimize data architecture, ensure data quality, automate ingestion and transformations, document data flows, and enforce governance and security.
Summary Generated by Built In
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 2 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
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 2 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.
Skills Required
- Bachelor's degree in Computer Science, Information Technology, or related field
- Minimum 3 years of experience in Data Engineering (posting contains conflicting 2 and 3 year requirements; 3 years stated additionally)
- Proven experience as a Data Engineer or in a similar role
- Strong programming skills in Python and PySpark (or Java/Scala)
- Experience with SQL and NoSQL databases
- Hands-on experience with cloud data services (AWS Glue, Google Dataflow, Azure Data Factory)
- Familiarity with ETL and pipeline orchestration tools (Apache Airflow, Luigi)
- Knowledge of big data technologies (Hadoop, Spark, Kafka)
- Experience with cloud data warehouses (Redshift, BigQuery, Snowflake)
- Experience with containerization and orchestration (Docker, Kubernetes)
- Experience implementing data quality checks, monitoring data integrity, and documenting data flows
Accenture Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Accenture and has not been reviewed or approved by Accenture.
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Healthcare Strength — Pay is considered competitive when paired with robust insurance options and other perks that compare well with large consulting and IT services peers. Multiple national medical plan options plus dental and vision are positioned as a core strength of the overall package.
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Retirement Support — Retirement support is positioned as a standout feature through a 401(k) dollar-for-dollar match up to a set percentage after eligibility. The package is reinforced by additional financial programs such as savings tools and related resources.
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Parental & Family Support — Parental and caregiving supports are presented as a meaningful benefit differentiator through substantial paid parental leave and multiple caregiver-oriented programs. Backup care and fertility/adoption/surrogacy navigation and reimbursements add breadth to family support beyond leave alone.
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The Company
What We Do
Accenture is a global professional services company with leading capabilities in digital, cloud and security. Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Interactive, Technology and Operations services—all powered by the world’s largest network of Advanced Technology and Intelligent Operations centers. Our 500,000+ people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. We embrace the power of change to create value and shared success for our clients, people, shareholders, partners and communities. Visit us at www.accenture.com.
