Design, develop, and maintain scalable data pipelines, ETL processes, data architectures, and database integrations. Ensure data quality, governance, security, monitoring, and performance across diverse systems, APIs, cloud platforms, and analytical environments. Collaborate with data scientists, analysts, and business stakeholders to deliver reliable data solutions, troubleshoot processing bottlenecks, and support business intelligence. The role also involves coaching junior team members and optimizing databases for scalability and availability.
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
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 at www.accenture.com
Equal Employment Opportunity Statement
We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, military veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by applicable law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.
Accenture Mahārāshtra, IND Office
India
Accenture Pune, Mahārāshtra, IND Office
Building B-1, Magarpatta City (SEZ, Mundhwa Rd, Magarpatta, Hadapsar, Pune, Maharashtra, India, 411013
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What you need to know about the Pune Tech Scene
Once a far-out concept, AI is now a tangible force reshaping industries and economies worldwide. While its adoption will automate some roles, AI has created more jobs than it has displaced, with an expected 97 million new roles to be created in the coming years. This is especially true in cities like Pune, which is emerging as a hub for companies eager to leverage this technology to develop solutions that simplify and improve lives in sectors such as education, healthcare, finance, e-commerce and more.
