Data Engineer
2 weeks ago
This is a remote position.
Role: Data EngineerExperience: 2+Years
Notice period: Immediate
Location: Anywhere from India
Job Type: Full Time
Responsibilities:
Designing & building data architectures including the design & set-up of scalable (big) data lakes (full cloud or hybrid cloud), scheduled transformations & data governance
Responsible for implementing robust data pipeline using Airflow, Google/Microsoft Stack
Responsible for creating reusable and scalable data pipelines and data models
Responsible for using Google/Azure BI services for development of Big Data Platforms
Responsible for creating reusable components for rapid development of data platforms
Work closely with the Product Owners and Architects to develop Data Platforms including Machine Learning.
Choose and use the right analytical libraries, programming languages, and frameworks for each task
Assisting the project team in deploying data applications including, if needed, close-to real-time architectures
Produce high-quality code that allows us to put solutions into production
Refactor code into reusable libraries, APIs, and tools.
Help us to shape the next generation of our products.
Requirements Required skills & qualifications:
With at least 2 years Relevant experience in data warehousing and analytics
Good understanding of OLAP data model design
Good knowledge of SQL and excellent coding skills (Python)
2 years of experience with Spark, airflow and ideally Kubernetes
Good to have background in Pharmaceuticals and/or Warehouse Distribution industry
Substantial knowledge and working experience with data modelling, data pipelines using airflow, python/pyspark programming
Able to connect to any data source (incls APIs, RDBMS, Postgres, HANA, Azure Synapse, sharepoint, excel etc)
Knowledge in the Full Software Development Lifecycle (SDLC) including Requirements, Design, Development, Testing and Deployment is an advantage.
Experience integrating solutions with Power BI, Tenant configuration/setup, Embedding analytics
Batch and streaming architecture experience
Excellent analytical and problem-solving skills
Ability to provide technical and end-user support
Excellent time management skill is a must
Essential skillset:
SQL - Data modelling and Data Engineering
Python/Pyspark
Experience with cloud environments- Azure/GCP
Excellent troubleshooting and debugging skills
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