Data Engineer at Accenture

Pune, Maharashtra, India

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

TechnologyIndustries

Requirements

Minimum 7.5 years of overall experience (minimum 5 years in Spring Boot)
15 years full-time education
Proficiency in Spring Boot, REST APIs, and Microservices (Must Have)
Good knowledge of Java 8/11+
Familiarity with Maven/Gradle build tools
Understanding of API gateways, load balancers, and caching mechanisms
Experience with application monitoring/logging tools (Splunk, ELK, AppDynamics, New Relic, Grafana, Prometheus)
Familiar with incident management tools (ServiceNow, Jira, Remedy)
Exposure to CI/CD pipelines (Jenkins, Git, GitLab CI)
Basic knowledge of Docker, Kubernetes, AWS/Azure/GCP
Good understanding of SQL/NoSQL databases (PostgreSQL, MySQL, MongoDB)
Good to have: MuleSoft exposure, experience with data warehousing solutions, strong understanding of data modeling and database design principles, experience with cloud platforms such as AWS or Azure, familiarity with containerization technologies like Docker

Responsibilities

Expected to be an SME. Triage, troubleshoot, and resolve application incidents within defined SLAs
Monitor alerts, logs, and dashboards for Spring Boot microservices
Perform root cause analysis (RCA) and provide permanent fix recommendations
Handle service requests (config changes, deployments, access issues)
Support CI/CD deployments in lower and production environments
Validate post-deployment health and rollback if required
Ensure application availability and performance through proactive monitoring
Work with tools like Prometheus, Grafana, Splunk, ELK, AppDynamics, or New Relic

Skills

Spring Boot

Java

REST APIs

Microservices

Maven

Gradle

Prometheus

Grafana

Splunk

ELK

AppDynamics

New Relic

CI/CD

ETL

Accenture

Global professional services for digital transformation

About Accenture

Accenture provides a wide range of professional services, including strategy and consulting, technology, and operations, to help organizations improve their performance. Their services assist clients in navigating digital transformation, enhancing operational efficiency, and achieving sustainable growth. Accenture's offerings include cloud migration, cybersecurity, artificial intelligence, and data analytics, which are tailored to meet the needs of various industries such as financial services, healthcare, and retail. What sets Accenture apart from its competitors is its extensive industry knowledge and ability to deliver comprehensive solutions that address both immediate challenges and long-term goals. The company's aim is to support clients in reducing their environmental impact while driving innovation and growth.

Dublin, IrelandHeadquarters

1989Year Founded

$8.5MTotal Funding

IPOCompany Stage

Consulting, Enterprise Software, CybersecurityIndustries

10,001+Employees

Risks

Rapid AI advancements may outpace Accenture's current capabilities, risking competitive disadvantages.

Integration challenges from multiple acquisitions could affect Accenture's operational efficiency.

The rise of AI-driven startups may disrupt Accenture's market share in customer service solutions.

Differentiation

Accenture's acquisitions enhance its capabilities in digital twin technology for financial services.

The company is expanding its expertise in net-zero infrastructure through strategic acquisitions.

Accenture's focus on software-defined vehicles positions it as a leader in automotive innovation.

Upsides

Accenture's investment in EMTECH supports central bank modernization amid digital currency evolution.

The acquisition of Award Solutions boosts Accenture's presence in the growing 5G and IoT markets.

Accenture's strategic acquisitions align with high-growth markets like digital twins and net-zero projects.

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