Senior Data Engineer
New
Based in India, multiple time zonesFull-TimeSenior
Salary not disclosed
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Job Details
- Languages
- English
- Experience
- 4+ years
- Required Skills
- AWSPythonSQLGCPSnowflakeAzureScalaDatabricks
Requirements
- 4+ years of experience in Data Engineering or Software Engineering delivering production-grade data solutions
- Strong programming skills in Python and/or Scala for data processing and automation
- Hands-on experience with cloud data platforms such as Snowflake, AWS, Azure, GCP, or Databricks
- Strong SQL expertise, including query optimization and complex data manipulation
- Experience working in client-facing or consulting environments with end-to-end project ownership
- Strong understanding of distributed data systems, pipelines, and modern data architectures
- Ability to create technical documentation, presentations, and solution designs for stakeholders
- Excellent communication skills in English with strong stakeholder management ability
- Proven ability to manage multiple priorities in fast-paced, distributed teams
Responsibilities
- Own the design, development, and deployment of end-to-end cloud data pipelines and solutions for enterprise clients
- Translate business requirements into scalable data architectures, integration patterns, and data models aligned with best practices
- Ensure performance, security, scalability, and reliability of data solutions in production environments
- Collaborate with data engineering, analytics, and platform teams to deliver successful client engagements
- Provide technical leadership in design reviews, proof-of-concepts, and implementation workshops
- Produce high-quality technical documentation, including architectures, workflows, and operational runbooks
- Contribute to accelerators, reusable frameworks, and internal best practices for cloud data platforms
- Engage with stakeholders to ensure timely delivery and measurable business value
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