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Open nowPosted 522 days ago

Business Development intern

Lifespark Technologies

Where
IIT Bombay
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Your applicationOpen nowBusiness Development internLifespark Technologies · IIT Bombay

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Early applications get read.

11.5% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.0%1 day
  2. 4.3%3 days
  3. 11.5%7 days
  4. 18.1%14 days
  5. 35.6%30 days
  6. 44.6%60 days
This job: posted 522 days ago

The posting

Senior Data Engineer

## Company Overview 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, Accenture offers Strategy and Consulting, Interactive, Technology, and Operations services—all powered by the world’s largest network of Advanced Technology and Intelligent Operations centers. Our diverse team brings innovation to improve the way the world works and lives.

## Job Summary The Senior Data Engineer will be responsible for designing, building, and maintaining large-scale data processing systems and solutions. The role involves developing and optimizing data pipelines, integrating new data sources, ensuring data quality, and collaborating with cross-functional teams to deliver high-quality data products. The ideal candidate will have expertise in data engineering tools, cloud platforms, and data modeling, and will contribute to driving Accenture’s data and analytics initiatives forward.

## Responsibilities - Design, build, and maintain scalable data pipelines and architectures for large-scale data processing. - Develop, implement, and optimize ETL (Extract, Transform, Load) processes. - Collaborate with data scientists, analysts, and business stakeholders to deliver data solutions that meet business requirements. - Integrate various data sources, ensuring data quality, consistency, and security. - Monitor and troubleshoot data pipelines, ensuring performance, reliability, and scalability. - Document technical solutions, workflows, and best practices for data management and engineering.

## Qualifications - Bachelor’s or Master’s degree in Computer Science, Information Technology, Engineering, or a related field. - Strong experience with ETL development and data pipeline orchestration. - Proficient in programming languages such as Python, Java, or Scala. - Hands-on experience with cloud platforms such as AWS, Azure, or Google Cloud Platform. - Experience with big data technologies (e.g., Hadoop, Spark, Kafka). - Solid understanding of data modeling, warehousing, and relational/non-relational databases. - Excellent problem-solving skills and attention to detail. - Strong communication and collaboration abilities.

## Preferred Skills - Experience with containerization tools such as Docker and orchestration tools like Kubernetes. - Familiarity with CI/CD pipelines and DevOps practices. - Knowledge of data governance, data security, and privacy best practices. - Experience with machine learning pipelines or data science workflows. - Certifications in relevant cloud or data engineering technologies.

## Experience - Typically requires 5+ years of relevant experience in data engineering, data architecture, or related roles. - Proven track record of designing, developing, and maintaining large-scale data solutions in a professional environment.

## Environment - Hybrid work environment with a combination of remote and in-office work at Accenture’s designated locations. - Collaborative, fast-paced, and innovative work culture. - May require occasional travel to client sites as per project needs.

## GrowthOpportunities - Opportunities for career advancement into lead data engineering, data architecture, or technical management roles. - Access to training, certifications, and upskilling programs. - Involvement in cutting-edge projects with global clients across various industries.

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