Job Summary
A great opportunity as a Data Engineer to work in cloud based data engineering, analytics and data management team in a well established company.
Mandatory Skill-set
- Bachelor's Degree in Computer Science or equivalent
- Minimum 5 years of experience in data engineering and data management
- Hands on technical experience in Azure Data Factory, Databricks, Synapse, SQL Server Integration Services
- Strong experience in Python / SAS / R along with Tableau / Power BI
- Strong experience in gathering business requirements and translating into technical specification
- Strong analytical skills with high curiosity to deep dive into root cause of problems and suggest solutions
- Has good stakeholders management experience
- Attention to technical details
- Ability to deliver tasks on time with high quality outcome
- Self motivated and ability to take ownership
- Strong written and spoken communication skills.
Desired Skill-set
- Azure Data Engineer Certified
- ITIL certified
- Prior experience in Python, R or Machine Learning tools.
Responsibilities
- Design and develop data models, ETL pipelines, data integration process while ensuring data accuracy and quality
- Perform data analysis of structured and unstructured data and perform business intelligence initiatives such as build user friendly reports using data visualization tools
- Analyze ETL requirements from users and provide solutions accordingly
- Responsible for planning and executing data profiling and data quality analysis
- Monitor data pipelines, databases and analytical processes to ensure smooth operations
- Identify and resolve data-related issues, performance bottleneck and data quality problems
- Design and document data catalogs and data architectures
- Perform regular data cleansing exercise to ensure that data is of high quality and relevant to the business needs
- Execute data transformation, correction and aggregations to ensure compliance with business / regulatory requests
- Build and maintain reports and dashboards using suitable data visualization tools
- Conduct analysis on the reports and translate the findings into valuable insights to business users
- Prepare data for prescriptive and predictive modelling
- Perform database monitoring and performance tuning.
