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, Python (Programming Language), Microsoft Azure Data Services, Data Governance, SQL for Data processing, Kafka
Good to have skills : NA
Minimum 7.5 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. This role requires creating efficient data pipelines and ensuring the integrity and quality of data throughout its lifecycle. The position also involves implementing extract, transform, and load processes to facilitate seamless migration and deployment of data across various systems, enabling smooth data flow and accessibility for multiple teams and applications.
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 the design and implementation of scalable data architectures to support business needs.
- Mentor junior team members to enhance their technical skills and project contributions.
- Coordinate cross-functional efforts to align data strategies with organizational goals.
Professional & Technical Skills:
- Must To Have Skills: Proficiency in Data Engineering, Data Governance, Python (Programming Language), Microsoft Azure Data Services and SQL for data processing and pipeline development.
- Hands-on with Azure data services: Data Lake (ADLS), Data Factory (ADF), Synapse, Purview.
- Familiarity with Databricks (Delta Lake, Spark jobs, notebooks).
- Knowledge of data governance, security, and compliance frameworks.
- Knowledge of streaming (Kafka/Event Hubs) and real-time data products
- Strong experience in building and optimizing data pipelines and architectures.
- Expertise in managing large-scale data processing systems and ensuring data quality.
- Familiarity with cloud-based data platforms and services, particularly within Microsoft Azure.
- Ability to troubleshoot and resolve complex data integration and migration challenges.
Additional Information:
- The candidate should have minimum 7.5 years of experience in Data Engineering.
- This position is based at our Pune office.
- A 15 years full time education is required.
Pune
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.