Experience of 6+ years in data analytics working in extracting value from data. They should
have worked on all processes including data collection, cleaning, and preprocessing, building
data warehouses, training models and deploying them to production with greater focus on the
data handling, data modeling and data preparation activities.
The ideal candidate will be passionate about data analytics and stay up-to-date with the latest
developments in the field.
Responsibilities
● Be responsible for designing and implementing data integration, combine raw
information from different sources, create ETL jobs and creating and modeling data
warehouses
● Conduct analysis of business process, data and systems
● Understand, design and create physical and logical data models to meet business
needs
● Develop and document overall data sourcing, data transformation and semantic layer
designs
● Analyze and organize raw data and build complex data pipelines
● Evaluate business needs and objectives and interpret trends and patterns, conduct
complex data analysis and report on results
● Verifying data quality, and/or ensuring it via data cleaning, explore ways to enhance
data quality and reliability
● Exposure to any of the cloud(AWS, Azure) data analytics tools, preferably Azure and
DWH like Snowflake.
● Working with stakeholders including the Executive, Product, Data and Design teams
to support their data infrastructure needs while assisting with data-related technical
issues
Skills
● Understanding of cloud-based data analytics services is needed, preferably Azure
● Expertise in visualizing and manipulating big datasets
● Ability to do research, identify, analyze data enrichments and presenting findings
● Demonstrated ability to create and deliver creative solutions and automated workflows
● Strong communications to build a constructive working relationship with various
technology partners, stakeholders and other internal/ external users
● Experience of building high quality solutions and leading processes in the Agile working
environment
● Experience with any one data warehouse like Snowflake, Azure Synapse Analytics, etc. is
a must.
● Previous experience as a data engineer, data architect or in a similar role
● Technical expertise with data models, data mining, and segmentation techniques
● Experience with large-scale data integration and reporting
● Understanding of data requirements in complex environments
● Knowledge of programming languages (e.g. Java and Python)
● Hands-on experience with SQL database design
● Great numerical and analytical skills
● Degree in Computer Science, IT, or similar field; a Master’s is a plus
● Data engineering certification is a plus