Responsibility:

Design, develop and deploy data tables , views and marts in data warehouses, operational data store, data lake and data virtualization.
Perform data extraction, cleaning, transformation and flow . Web scraping may be also a part of the work scope in data extraction.
Design, build, launch and maintain efficient and reliable large-scale batch and real-time data pipelines with data processing frameworks.
Integrate and collate data silos in a manner which is both scalable and compliant .
Collaborate with Project Manager , Data Architect, Business Analysts, Frontend developers, Designers and Data analysts to build scalable data-driven products.
Be responsible for developing backend APIs & working on databases to support the applications.
Work in an Agile Environment that practices Continuous Integration and Delivery.
Work closely with fellow developers through pair programming and code review process.
Proficient in general data cleaning and transformation (e.g. SQL, pandas, R etc.,) to ensure data accuracy and consistency.
Proficient in building ETL pipeline (eg. SQL Server Integration services(SSIS), AWS Database Migration Services (DMS), Python, AWS Lambda, ECS Container task, Eventbridge, AWS Glue , Spring)
Proficient in database design and various databases (e.g SQL, Postgre SQL,AWS S3, Athena , mongodb, Postgres/gis, mysql, sqlite, voltdb, cassandra, etc.,)
Experience in cloud technologiessuch as GPC, GCC, (i.e.,AWS, Azure, Google Cloud)
Experience and passion for data engineering in big data environment using cloud platforms such as GPC, GCC (i.e., AWS , Azure, Google cloud)
Experience with building production-grade data pipelines, ETL/ELT data migration.
Knowledge about system design , data structure and algorithms.
Familiar with data modelling, data access, and data storage infrastructure like Data Mart, Data Lake, Data Virtualization and Data Warehouse for efficient storage and retrieval.
Familiar with rest api and web requests/protocols in general.
Familiar with big data frameworks and tools (eg. Hadoop, Spark, Kafka, RabbitMQ)
Familiar with W3C Document Object Model and customised web scraping (e.g BeautifulSoup, CasperJS, PhantomJS, Selenium, NodeJs etc.,)
Familiar with data governance policies, access control and security best practices.
Comfortable in at least one scripting language (eg. SQL, Python)
Comfortable with both Windows and Linux development environments.
Interest in being the bridge between engineering and analytics.

Thanks, and Best Regards

Lini

Recruitment Consultant

R22108463

Data Engineer