Job description

** Strictly for serious candidates who would really want to enrich and progress their career experience with a growing inborn Cloud and Data Organization**

Company Profile:

Adfolks is a growing technology consulting and services focusing on modern digital technologies in Cloud Computing, Software, Data and Cyber Security. We invest in people, processes, and tools to build a high-performance engineering team that can be trusted as a digital native partner to accelerate the digital initiatives of forward-thinking companies.

What makes us cutting edge?

Founded as a cloud-native data company, Adfolks covers a wide range of segments under Data, ranging from data engineering to basic and complex visualization/reporting use-cases to Machine Learning and Cognitive AI. We are Microsoft Managed Gold Partner, AWS Advanced Partner, and Google Partner in Cloud space and the only Kubernetes Certified Service Provider to enable Hybrid Cloud-Native Transformations for our customers, with a primary focus on Data, AI, Security, and Cloud-Native App Innovations. Security remains a strong practice for Adfolks, with a strong emphasis on modern SIEM, CASB, and CSPM. We are based out of Dubai with operations in India as well. Initially, the mode of work would be remote, considering the ongoing pandemic; however, once the situation resolves, there will be an opportunity to work onsite as well.

You can visit our website www.adfolks.com to learn more about our products and our ongoing projects.

Role:  Data Engineer

Responsibilities:

• Develops and maintains scalable data pipelines and builds out new API integrations to support continuing increases in data volume and complexity. 
• Collaborates with analytics and business teams to improve data models that feed business intelligence tools, increasing data accessibility and fostering data-driven decision making across the organization 
• Ability to build Azure data solutions and provide a technical perspective on storage, big data platform services
• Designs and develops Extract, Transform and Load (ETL) solutions to populate the data warehouse.
• Create and maintain optimal data pipeline architecture, including optimal extraction, transformation and loading of data, leveraging Databricks notebooks, Apache Spark (SQL, Python, Scala, Java) and other Microsoft Azure or open-source tools as required
• Performs data analysis required to troubleshoot data-related issues and assist in the resolution of data issues 
• Demonstrated experience with ETL/API scripts and tools for data integration between applications and platforms
• Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources 

Who can apply?

• 1- 6 yrs of experience

Location

Remote Opportunity based anywhere in India

Just as important as your experience and skills will be the following characteristics and competencies:

• Self-motivation and sense of ownership and accountability
• Ability to analyze problems and create solutions
• Ability to work independently and professionally
• Effective communication skills
• Detailed work and organizational skills