Job Description
Responsibilities:
• Working with the client and the team to determine data processing and access needs and how best to deliver them.
• Creation and support of highly available data pipelines and storage solutions (e. g. data warehouses).
• Delivery of software using agile (pair programming, TDD, CI/CD, etc) practices.
• Automation of data infrastructure and deployments.
• Advocating agile practices to the client organization.
• Mentoring client team members.
• Helping improve the team and clients' data capabilities.
Requirements:
• Significant experience working on data pipelines, platforms, and projects.
• Experience in developing solutions in one or more of the main Cloud providers (AWS, GCP, Azure).
• Strong background in at least one programming language, Python or Scala preferable.
• Working with a variety of databases, data warehouses, and distributed file systems in production environments.
• Strong experience in SQL and data modeling.
• Exposure to data processing at scale.
• Knowledge about GDPR and data security.
• Working with source control and infrastructure as code (Git/GitHub, Terraform, ansible, etc. ) and CI/CD tools.
• Understanding and being able to support data scientists or business intelligence teams - in data prep, mentoring, and support functions.
• Strong collaboration and communication skills, including the ability to communicate effectively while working remotely with globally distributed teams.
• Working with the client and the team to determine data processing and access needs and how best to deliver them.
• Creation and support of highly available data pipelines and storage solutions (e. g. data warehouses).
• Delivery of software using agile (pair programming, TDD, CI/CD, etc) practices.
• Automation of data infrastructure and deployments.
• Advocating agile practices to the client organization.
• Mentoring client team members.
• Helping improve the team and clients' data capabilities.
Requirements:
• Significant experience working on data pipelines, platforms, and projects.
• Experience in developing solutions in one or more of the main Cloud providers (AWS, GCP, Azure).
• Strong background in at least one programming language, Python or Scala preferable.
• Working with a variety of databases, data warehouses, and distributed file systems in production environments.
• Strong experience in SQL and data modeling.
• Exposure to data processing at scale.
• Knowledge about GDPR and data security.
• Working with source control and infrastructure as code (Git/GitHub, Terraform, ansible, etc. ) and CI/CD tools.
• Understanding and being able to support data scientists or business intelligence teams - in data prep, mentoring, and support functions.
• Strong collaboration and communication skills, including the ability to communicate effectively while working remotely with globally distributed teams.
💡 Quick Summary
Seeking a career-building opportunity? The Data Engineer |Cloud position is now open for candidates interested in the Work from home Jobs sector. This role in Kolkata offers a professional environment and growth potential.
Requirement Snapshot: Candidates should possess basic communication skills, a proactive attitude, and the ability to work in a team. Experience in Work from home Jobs is a plus.
