Data Engineer

Project Role : 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 : Amazon Web Services (AWS), AWS Glue, PySpark
Minimum 5 year(s) of experience is required
Educational Qualification : 15 years full time education

Summary : As a Data Engineer, you will play a pivotal role in integrating, and maintaining the infrastructure needed to support data processing and analysis within the Swisscom ecosystem. You will collaborate with data scientists, analysts, and other stakeholders to ensure data availability, integrity, and usability for business intelligence and analytics purposes.

Must have skills : AWS Services , python, SQL, experience with data warehousing & modeling
Good to have skills : Python , Kafka , DevOps tools
8 year(s) of expected experience

Roles & Responsibilities:
Integrate and unify various Database systems into the Swisscom ecosystem by implementing & maintaining scalable ETL pipelines to process large volumes of data. Ensuring data governance and security policies.
Work in cross-functional teams (data scientists, analysts, and business partners) to provide them with solutions communicate to non-technical stakeholders.
Develop and optimize data architectures and data transformation technologies. to support analytical needs.
Manage and optimize databases for performance, scalability, and availability.
Integrate data from various sources, including APIs, external cloud platforms, and internal data systems.
Identify and resolve bottlenecks in data processing, optimizing the performance of databases and data pipelines.
Implement monitoring and logging solutions to proactively address data reliability and quality issues.

Professional & Technical Skills:
AWS, Database management systems (e.g., SQL – a must, NoSQL, PostgreSQL, MongoDB), , Python – a must, Kafka, big data technologies (Hadoop, pySpark), data warehousing solutions (e.g., Snowflake, Redshift, BigQuery), DevOps tools (gitlab, Docker, Kubernetes)
Strong analytical skills and a proactive approach to problem-solving
Ability to work independently and as part of a collaborative team. Able to coach junior team members.
15 years full time education

About Accenture

Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.

Visit us atwww.accenture.com

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