Senior Data Engineer
P
phDataCloud data engineering
Location: India - Remote; This role is based in India, India business hours (IST); some flexibility for global collaboration.Full-TimeSenior
Salary not disclosed
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Job Details
- Languages
- Strong client-facing written and verbal communication skills in English.
- Experience
- 4+ years of experience as a Software Engineer and/or Data Engineer building and deploying production-grade data solutions.
- Required Skills
- AWSPythonSQLSnowflakeAzureScalaDatabricks
Requirements
- Have 4+ years of experience as a Software Engineer and/or Data Engineer building and deploying production-grade data solutions.
- Develop end-to-end technical solutions for production with a focus on performance, security, scalability, and data integration.
- Have programming expertise in Python and/or Scala for data processing, automation, and orchestration.
- Have hands-on experience with Snowflake, AWS, Azure, and/or Databricks.
- Demonstrate strong SQL skills, including writing, debugging, and optimizing complex queries.
- Have experience delivering projects for clients in a professional services or consulting environment.
- Have experience creating technical presentations and detailed solution documentation for client and internal stakeholders.
- Have strong client-facing written and verbal communication skills in English.
- Be able to work effectively with distributed, cross-functional teams and manage multiple priorities with minimal supervision.
- Hold a 4-year bachelor's degree in Computer Science or a related field.
Responsibilities
- Own the design, development, and deployment of end-to-end data solutions and pipelines for enterprise clients.
- Translate business requirements into technical data architectures, integration patterns, and models.
- Ensure production solutions meet performance, security, reliability, and scalability requirements.
- Collaborate with data engineering, software engineering, analytics, and platform teams on client engagements.
- Provide technical leadership during design and code reviews, proof-of-concepts, and implementation workshops.
- Ensure deliverables meet quality standards through testing, documentation, governance, and change management.
- Create reusable accelerators, templates, playbooks, and best practices for cloud data platforms.
- Develop technical documentation, including architectures, roadmaps, and operational runbooks.
- Mentor peers and share knowledge through internal communities of practice.
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