Senior Data Engineer

New
P
phDataData and AI
Location: India - Remote, India business hours (IST) with some flexibility for global collaborationFull-TimeSenior
Salary not disclosed
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Job Details

Languages
English
Experience
4+ years
Required Skills
AWSPythonSQLSnowflakeAzureScalaDatabricks

Requirements

  • 4+ years of experience as a Software Engineer and/or Data Engineer building and deploying production-grade data solutions.
  • Ability to develop end-to-end technical solutions into production.
  • Programming expertise in Python and/or Scala.
  • Hands-on experience with core cloud data platforms including Snowflake, AWS, Azure, and/or Databricks.
  • Strong SQL skills, including the ability to write, debug, and optimize complex queries.
  • Experience creating and delivering detailed technical presentations.
  • Experience producing detailed solution documentation.
  • Experience delivering projects in a professional services or consulting environment.
  • Strong client-facing written and verbal communication skills in English.
  • 4-year Bachelor’s degree in Computer Science or a related field.

Responsibilities

  • Own and drive 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 solutions meet performance, security, reliability, and scalability requirements in production environments.
  • Ensure engagements are delivered on time, within scope, and with measurable business value.
  • Collaborate with cross-functional partners including data engineering, software engineering, analytics, and platform teams.
  • Provide technical leadership during design and code reviews, proof-of-concepts, and implementation workshops.
  • Ensure high quality in deliverables through testing, documentation, and adherence to governance processes.
  • Contribute to internal initiatives such as developing accelerators, templates, playbooks, and best practices.
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