Data Engineer – Are you passionate about building your career in the Data Analytics and AI then Accenture is hiring the Data Engineer for its fast growing team. This is a full time opportunity and based in Pune and offering The Good CTC. Visit the complete article for additional insights and stay connected with us on LinkedIn for future opportunities and announcements.
About the Accenture Company
Accenture is a globally recognized technology and professional services organization that helps businesses accelerate growth through innovation, digital transformation, and advanced technology solutions. With expertise across cloud computing, artificial intelligence, cybersecurity, consulting, and operations, Accenture empowers organizations to solve complex challenges and create lasting value. The company offers a collaborative and inclusive workplace where professionals can develop their skills, work on impactful projects, and contribute to shaping the future of technology and business.
- Role : Data Engineer
- Location : Pune
- Employee Type : Full Time , Permanent
- Department : Data Engineer & Management
- Experience : 2 – 5 Years
- CTC – Not Mentioned
- Link to Apply – Accenture – Data Engineer
Job Highlights for Data Engineer
- BE/BTech, ME/MTech, BCA/MCA, Computer Science or any relevant field qualification from a well-known institute.
- The recruitment process may include the use of AI-powered tools to assist with application screening, resume assessment, and candidate evaluation.
- Professionals with 2–5 years of relevant industry experience are encouraged to apply for this opportunity.
- 15 years of full time educational qualification is required.
- Design and develop scalable data solutions that support enterprise data management and analytics initiatives.
- Build and maintain robust data pipelines to enable efficient data integration, processing, and movement across systems.
- Ensure data accuracy, consistency, and reliability through effective quality assurance and governance practices.
- Develop and optimize ETL/ELT workflows for seamless data extraction, transformation, and loading.
- Contribute to data migration, deployment, and modernization projects that enhance organizational data capabilities.
- Collaborate with cross-functional teams to support data-driven decision-making and business objectives.
- Strengthen and maintain the organization’s data infrastructure to ensure high performance and operational efficiency.
- Work with large-scale datasets and modern data technologies to deliver reliable and scalable solutions.
Job Description for Data Engineer
- Develop and maintain data reports, datasets, and technical documentation to support business intelligence, analytics, and operational decision-making.
- Perform data analysis and research to identify trends, patterns, and opportunities for improving data quality, performance, and business outcomes.
- Collaborate with stakeholders to gather requirements, validate data accuracy, resolve inconsistencies, and define effective data solutions.
- Design and optimize data pipelines and workflows to ensure efficient data collection, transformation, integration, and delivery across platforms.
- Work closely with cross-functional teams to support data-driven initiatives and ensure alignment with business and technical objectives.
- Work independently while developing deep technical expertise within the assigned domain.
- Actively participate in team discussions, knowledge-sharing sessions, and collaborative problem-solving activities.
- Analyze technical challenges and contribute effective solutions to support project and business objectives.
- Partner with cross-functional teams to gather requirements and deliver scalable, data-driven solutions.
- Continuously monitor, maintain, and enhance data workflows to ensure optimal performance, reliability, and efficiency.
- Prepare and maintain clear technical documentation for data pipelines, platform architecture, processes, and governance standards.
- Collaborate with stakeholders to provide clear updates, technical insights, and project status information.
- Support the growth of team members by sharing knowledge, offering guidance, and assisting with technical issues when needed.
Desired Skills for Data Engineer
- Professionals with 2–5 years of relevant industry experience are encouraged to apply for this opportunity.
- BE/BTech, ME/MTech, BCA/MCA, Computer Science or any relevant field qualification from a well-known institute.
- Required Skills: Hands-on experience with Databricks, Azure Databricks, Azure Analytics Services, and PySpark for building and managing modern data solutions.
- Preferred Skills: Exposure to cloud-based analytics tools and technologies, including Azure Databricks, Azure Analytics Services, and PySpark.
- Strong understanding of data engineering principles, data pipeline design, and ETL/ELT development methodologies.
- Experience working with high-volume datasets and implementing scalable data integration and processing solutions.
- Ability to identify, diagnose, and resolve data quality, reliability, and performance-related challenges.
- Familiarity with cloud data ecosystems, analytics platforms, and modern data management practices.
- 15 years of full time educational qualification is required.
- Excellent communication skills with the ability to collaborate effectively with stakeholders and cross-functional teams.
- Proactive, adaptable, and results-driven individual with strong analytical and teamwork abilities.
- Practical thinker capable of balancing technical requirements with business goals and priorities.
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Education
- UG: Any Graduate
- PG: Any Postgraduate
Skills for Data Engineer
- Stress testing
- Recruiting
- Monitoring
- Artificial Intelligence
- Databricks unified data analytics platform
- Microsoft Azure databricks
- PySpark
- Azure Analytics Services
- Data pipeline architecture
- Data processing
- Data analysis
- Cloud platform
Additional Information
We are an equal opportunity employer and make employment decisions based on merit, qualifications, and business requirements, without regard to any status protected under applicable laws.
Important Notice
Accenture never charges candidates for job applications, interviews, or employment opportunities. Please be alert to fraudulent requests for payment and report any suspicious communications through official channels.
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