Back

Zensar Technologies

Zensar stands out as a premier technology consulting and services company, embracing an ‘experience-led everything’ philosophy. We are creators, thinkers, and problem solvers passionate about designing digital experiences that are engineered into scale-ready products, services, and solutions to deliver superior engagement to high-growth companies. This full lifecycle capability – from experience to engineering to engagement – is what makes us unique. This integrated approach also means that we harness the power of technology, creativity, and insight to deliver impact — ensuring our work focuses not just on technology but also on the people who use it. Part of the $4.4 billion RPG Group, Zensar is headquartered in Pune, India. Our 10,000+ employees work across 30+ locations worldwide, including Seattle, Princeton, Cape Town, London, Singapore, and Mexico City. As an organization, we are diverse and multi-dimensional and unite across geographies and skill sets to deliver products and services that are value-driven, environmentally conscious, and human-centered. To know more, visit us at www.zensar.com.
23/04/2025
Full time
RFX-577 - DATA ENGINEER SPECIALIST
Zensar Technologies Geneva, Geneva, Switzerland
Required Education and Certification: Applicants must have a first level university degree in information security, computer science, engineering, mathematics, business or related discipline. Certifications such as Certified Amazon Web Services (AWS) Solutions Architect, and AWS Certified Data Analytics Specialty are highly desirable. Required Skills set: Expert knowledge and experience developing and implementing ETL jobs for data warehouses using SQL and Python. Good knowledge of software development language and tools such as SQL, Python, Spark Good knowledge and experience with AWS or Azure Big Data tools: Glue, Athena, Redshift, Kinesis, Data bricks, azure analytics, Data explorer. Good knowledge and experience with cloud-based storage and functions. (S3, Blob, Lambda, Azure Functions) Expert knowledge and experience of data engineering tools and methodologies (Datawarehouse, data lake, star schema). Good knowledge and experience with AWS Cloud...