About the job
General Responsibilities
Design and maintain cloud, on-premises, and hybrid data platform architectures
Identify, design and implement full data warehouse and Big Data solutions
Design and maintain optimal data pipeline architectures for batch and real-time processing
Identify, design, and implement process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc
Work in a customer facing environment alongside with technical and business stakeholders to assist with data-related needs
Manage the workload of team members though productivity and collaborations tools such as DevOps and JIRA
Execute regular work review and coaching of team members
Provide regular and effective progress updates to and work closely with Project Managers to ensure the management of any delivery risks or issues
Take responsibility for making key decisions to ensure the successful implementation of all initiatives
Contribute and support the business development team with solution design, budget and high-level schedule
Job Specific Responsibilities
Strong hands-on experience on implementing modern data platform solutions
Experience supporting and working with cross-functional teams in a dynamic environment
Capable of leading data initiatives and communicate clearly with business stakeholders
Ability to work efficiently without supervision
Advanced working SQL and Python knowledge and experience working with relational and unstructured databases and, query authoring (SQL) and Pyspark as well as working familiarity with a variety of databases
Experience building and optimizing 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
Build processes supporting data transformation, data structures, metadata, dependency and workload management
Technical aspects of Data Governance including glossary, metadata, data quality, master data management & data lifecycle management
Security, authentication and authorization
Experience working in agile/scrum setup
Experience with Azure Devops or any other Devops practice
Experience building and maintaining Data Lakes
Experience building and maintaining Azure Data Lakes and Synapse Azure environments
Experience with Data Lineage and Data cleansing tools – CluedIn preferred
Qualifications And Experience
Bachelor of Science Degree in IT/Computer Science/ Computer Engineering.
Minimum 7 years of relevant experience in Data Analysis and BI solutions preferred .
Azure Certified (Data track) ex (dp-900, pl-200, DA-100).
Experience in Azure-based data platform mainly Azure Data Factory, Azure SQL, and Azure Synapse
Experience in Power BI and Cognos.
Seniority Level: Other
Job Functions: Software Development
Industries : Information Technology
