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 : Data Engineering
Good to have skills : PySpark, Microsoft Azure Databricks, Scala
Minimum 5 year(s) of experience is required
Educational Qualification : 15 years full time education
Summary:
As a Data Engineer, a typical day involves designing, developing, and maintaining comprehensive data solutions that support the generation, collection, and processing of data. The role includes creating efficient data pipelines and ensuring the integrity and quality of data throughout its lifecycle. You will be responsible for implementing processes that extract, transform, and load data to facilitate seamless migration and deployment across various systems. This position requires continuous collaboration with different teams to optimize data workflows and support organizational data needs effectively.
Roles & Responsibilities:
- Expected to be an SME, collaborate and manage the team to perform.
- Responsible for team decisions.
- Engage with multiple teams and contribute on key decisions.
- Provide solutions to problems for their immediate team and across multiple teams.
- Lead efforts to identify and resolve data-related challenges to improve overall system performance.
- Mentor junior team members to enhance their technical skills and understanding of data engineering practices.
- Coordinate with stakeholders to align data engineering activities with business objectives.
- Drive continuous improvement initiatives to optimize data processing and pipeline efficiency.
Professional & Technical Skills:
- Must To Have Skills: Proficiency in Data Engineering, Microsoft Azure Databricks, Scala, PySpark.
- Good To Have Skills: Experience with Microsoft Azure Databricks, Scala, PySpark.
- Strong knowledge of data pipeline architecture and best practices for data integration.
- Experience with designing and implementing ETL processes to handle large-scale data migration.
- Familiarity with cloud-based data platforms and distributed computing frameworks.
- Ability to troubleshoot and optimize data workflows to ensure high availability and performance.
Additional Information:
- The candidate should have minimum 5 years of experience in Data Engineering.
- This position is based at our Bengaluru office.
- A 15 years full time education is required.
Bengaluru
雇用機会の均等化に関する声明
アクセンチュアは選考に際し、適用される法令に基づき、応募者を年齢、人種、思想信条、肌の色、宗教、性別、国籍、出生地、民族的起源、障がいの有無、性的指向、性同一性、遺伝情報、婚姻、パートナーの有無、市民権において差別することなく、全ての応募者に対し適用される法令に基づき採用選考を行います。
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.