Become Part of A Unique Global Team

At Alfa Xprienz, we leverage technologies to drive innovation and enable businesses to transition into digitally mature organizations. We will help you start small, start simple and scale fast. We do this by building and running on the world's best data and AI infrastructure platforms, so our customers can benefit on solving challenges that are hindering their organizational mission.

Our driving force at Alfa Xprienz is that we grow and innovate heavily in areas that improve productivity and operational efficiencies in order to ensure that we collaboratively continuously deliver the highest quality products to your customers.

Become part of a uniquely Global Team with innovation at the forefront leveraging technology in driving amazing experiences. We are looking forward to you joining our amazing team in any of our professional and expert roles. We have an amazing culture of growing and learning together, whilst we create exciting solutions to problems of businesses, organizations, governments and individuals.

The Role Requires You To:

Contribute in technological decisions for organisation future data and analysis needs. You will support organisation’s daily operations inclusive of troubleshooting of the organisation’s data warehouse environment and job monitoring. You will guide the organisation in identifying any new data needs and provide mechanisms for acquiring and reporting such information and addressing the actual needs.

What you are responsible for

• Design and develop systems for maintaining organisation’s data warehouse, ETL processes, and business intelligence
• Workwith other departments and teams across client’s business in coming up with simple, functional, and elegant solutions that balance data needs across the organization
  

What We Require:

• BS/MS/PhD in Computer Science, or a related field   
• We are looking for a candidate with 8+ years of experience in a Data Engineer role, who has attained a Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field.
• Advanced working SQL experience working with relational databases, query authoring (SQL) and working familiarity with a variety of databases.
• Experience building 'big data' data pipelines, architectures and data sets. In-depth knowledge of Model and Design of DB schemas for read and write performance.
• Working knowledge of API or Stream-based data extraction processes like Salesforce API and Bulk API is must.
• Experience performing root cause analysis on all data and processes to answer specific questions and identify opportunities for improvement.
• Build processes supporting data transformation, data structures, metadata, dependency and workload management.
• A successful history of manipulating, processing and extracting value from large disconnected datasets.
• Working knowledge of message queuing, stream processing, and scalable 'big data' data stores.
• Experience with building data pipeline from several business applications like Salesforce, Marketo, NetSuite, and Workday
• Experience with big data tools: Hadoop, Spark, Kafka, Spark & Kafka Streaming, Python, Scala, and Talend
• Working knowledge of BI Tools like Tableau, Looker is plus

Benefits

• Health insurance reimbursement and collective healthcare scheme
• Life, accident and disability coverage
• Company Pension
• Paid parental leave
• Annual vacation bonus

We Are Commited to Diversity and Inclusion

At Alfa Xprienz, we are committed to fostering a diverse and inclusive culture where everyone can excell and grow. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Alfa Xprienz are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.