Azure Data Engineer

Sr Azure Data Engineer

Job Description

About Cloudaeon:

Cloudaeon is a global technology consulting and services company. We support companies in managing cloud infrastructure and solutions with the help of big data, DevOps and analytics.
We offer first-class solutions and services that use big data and always exceed customer expectations. Our deep vertical knowledge, combined with expertise in several enterprise- class big data platforms, helps develop targeted solutions to meet our customers' business needs. Our global team consists of experienced professionals with experience in various tech stacks. Every member of our team is very active and committed to helping our customers achieve their goals.
Job Role – Sr Azure Data Engineer Experience - 5+ years

Job description
We are looking for an Senior Azure Data Engineer with overall 7+ years of experience to join our team for one of UKs most well-known client. You will use various methods to transform raw data into useful data systems. Overall, you will strive for efficiency by aligning data systems with business goals.

To succeed in this data engineering position, you should have strong analytical skills and the ability to combine data from different sources. Data engineer skills also include familiarity with several programming languages and knowledge of learning machine methods.

Responsibilities

• Design and build modern data pipelines and data streams.
• Move / Transform data across layers (Bronze, Silver, Gold) using ADF, Python, PySpark
• Analyse current business practices, processes and procedures and identify future.
• Good understanding of Azure Data Platform.”
• opportunities for leveraging Microsoft Azure data & analytics PaaS services.
• Support the planning and implementation of data platform services including sizing,

configuration, and needs assessment.

• Implement effective metrics and monitoring processes.
• Work as a trusted advisor to our clients.

Requirements

• Minimum 3+ years of experience with ADF, Databricks, PySpark, SQL
• Strong conceptual understanding of data warehouse.
• Understanding of data modelling and SQL.
• Experience with building and deploying ETL/ELT pipelines.
• DevOps integration of data pipelines.
• Hands on experience with modern data storage systems (e.g. ADLS, Synapse)
• Experience with DevOps, Continuous Delivery.
• Good conversion of high-level business & technical requirements into technical specs.
• Feeling comfortable in using Azure cloud technologies.
• Customer centric, passionate about delivering great digital products and services.
• Demonstrating true engineering craftsmanship mindset.
• Passionate about continuous improvement, collaboration, and great teams.
• Strong problem-solving skills coupled with good communication skills.
• Open minded, inquisitive, life-long learner