Data Engineer
4 weeks ago
Position Name : Data Engineer (Integration)
Experience Required : 10+yrs
Salary : As per the Market Standard or Else whatever budget you have
Notice period : Immediate joiner
Job Type : Full time
Location : Remote
Job Description :
- Understand all forms of data integration including APIs - Event-based, Streaming, REST and GraphQL API, CDC/Replication, Batch, SFTP, OneDrive/SharePoint etc.
- Proven experience with off the shelf products like Fivetran, HVR, Stitch etc.
- Proven experience with developing integrations using cloud platforms like AWS. Including using API Gateways, event routers, event buses, queues, notification services etc.
- Able to design and build metadata driven integrations where possible.
- Proven experience with Data Warehouses and Data Lakes.
- Understands data management layers, medallion architecture, slowly changing dimensions, dimensional modelling etc.
- Suitable experience working with infrastructure teams to enable connectivity.
- Excellent stakeholder management skills.
- Excellent time management and prioritization skills.
- Must have excellent communication skills both written and spoken.
- Work autonomously on complex data engineering tasks and deliver high-quality results.
Qualifications, Skills and Experience :
- 10+ years of hands-on experience in Data Engineering roles, with a focus on data integration including Event-based APIs, Streaming, REST and GraphQL API etc.
- Must have strong proficiency in designing, implementing, and maintaining data integration solutions.
- Must have experience in designing and implementing Data Warehouses and Data Lakes
- Strong understanding of ETL (Extract, Transform, Load) processes and best practices including the data pipeline.
- Must have understanding for data modeling, schema design, and data governance principles.
- Familiarity with cloud-based data integration services and tools.
- Good to have experience working in AWS cloud environments and utilizing relevant services for data engineering tasks.
- Good to have Python programming experience.
- Ability to work independently and efficiently in a fast-paced environment.
- Good to have hands-on experience with DevOps practices , enabling seamless data engineering operations.
- Worked in Agile/Scrum lifecycle.
- Strong problem-solving skills and attention to detail.
- Excellent communication skills to collaborate with cross-functional teams.
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