About this role

Our company is a global technology consulting company. We identify and integrate technology solutions that grow our clients’ productivity and profit, ranging from mid-sized businesses to international corporations. We are part of something bigger than ourselves, and we strive to create real impact. We empower our clients to be one step ahead through technology and innovation, not just in their businesses, but in their lives. And we empower our team members to grow their skills, take risks, and develop both personally and professionally. It is this dedication to our team, our clients, and our quality that makes us a great company with great people and great results. Our core values are: curious, we constantly grow our knowledge and challenge the consensus;  fearless, impactful results require bold action; inspiring, we don’t follow trends, we set them; collaborative, we trust our teams to see the bigger picture and solve problems; committed, going above and beyond for lasting client impact.

Requirements:

• Creating an inspiring team environment with open communication culture
• Set clear team goals, delegate tasks, and set deadlines
• Monitor team performance and have regular checks with its members
• Listen to team member's feedback and resolve any issues or conflicts
• Recognize high performance and reward accomplishments
• Helps grow the team by participating in technical interviews
• Support for team members to finish their individual tasks
• We are looking for a candidate with 4+ 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.
• Experience building and optimizing ‘big data’ data pipelines, architectures, and data sets.
• Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
• Strong analytic skills related to working with unstructured datasets. Build processes supporting data transformation, data structures, metadata, dependency, and workload management.
• A proven history of ETL (Extract, Transform, Load) from large, sparse data sources.
• Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores. Experience supporting and working with cross-functional teams in a dynamic environment.
• Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
• Experience with data visualization tools, such as PowerBI / DAX language, Tableau, etc
• Experience with relational SQL (including SQL Server), Postgres, and NoSQL databases.
• Familiar with data pipeline and workflow management tools like Azure Data Factory / Synapse Workspace
• Familiar with Azure services, familiar with big data tools: Hadoop, Spark, Kafka, etc.
• Experience with object-oriented/object function scripting languages like: .NET, Python, Java, etc.