Data Engineer
Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems.
Must have skills : Databricks Unified Data Analytics Platform
Good to have skills : Microsoft Azure Analytics Services, Microsoft Azure Databricks, PySpark
Minimum 2 year(s) of experience is required
Educational Qualification : 15 years full time education
Summary:
As a Data Engineer, your typical day involves designing, developing, and maintaining comprehensive data solutions that support the generation, collection, and processing of data. You will focus on creating efficient data pipelines that facilitate smooth data flow across various systems. Ensuring the accuracy and quality of data is a key part of your responsibilities, along with implementing processes to extract, transform, and load data effectively. Your role is central to enabling seamless data migration and deployment, contributing to the overall data infrastructure and operational success of the organization.
Roles & Responsibilities:
- Expected to perform independently and become an SME.
- Required active participation/contribution in team discussions.
- Contribute in providing solutions to work related problems.
- Collaborate with cross-functional teams to understand data requirements and deliver scalable solutions.
- Monitor and optimize data workflows to improve performance and reliability.
- Document data processes and maintain clear communication with stakeholders.
- Support junior team members by sharing knowledge and assisting with technical challenges.
Professional & Technical Skills:
- Must To Have Skills: Proficiency in Databricks Unified Data Analytics Platform, Microsoft Azure Databricks, Microsoft Azure Analytics Services, PySpark.
- Good To Have Skills: Experience with Microsoft Azure Databricks, Microsoft Azure Analytics Services, PySpark.
- Strong knowledge of data pipeline architecture and ETL best practices.
- Experience in managing large-scale data processing and integration tasks.
- Ability to troubleshoot and resolve data quality and performance issues.
- Familiarity with cloud-based data platforms and analytics services.
Additional Information:
- The candidate should have minimum 2 years of experience in Databricks Unified Data Analytics Platform.
- This position is based at our Pune office.
- A 15 years full time education is required.
Pune
Igualdade de oportunidade de emprego
A Accenture rege-se pelos princípios da meritocracia e da igualdade de oportunidades, não discriminando nem tolerando qualquer discriminação em razão de ascendência, origem étnica, raça, cor, sexo, estado civil, território de origem, grau de instrução, posição social, orientação sexual, religião, convicções e/ou opções políticas ou ideológicas, situação económica ou social, ou em função de qualquer outro factor considerado discriminatório e proibido nos termos da lei.
We work with one shared purpose: to deliver on the promise of technology and human ingenuity. Every day, more than 775,000 of us help our stakeholders continuously reinvent. Together, we drive positive change and deliver value to our clients, partners, shareholders, communities, and each other.
We believe that delivering value requires innovation, and innovation thrives in an inclusive and diverse environment. We actively foster a workplace free from bias, where everyone feels a sense of belonging and is respected and empowered to do their best work.
At Accenture, we see well-being holistically, supporting our people’s physical, mental, and financial health. We also provide opportunities to keep skills relevant through certifications, learning, and diverse work experiences. We’re proud to be consistently recognized as one of the World’s Best Workplaces™.
Join Accenture to work at the heart of change. Visit us at www.accenture.com.