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Cloud Platform Engineer

Websenor
Remote

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Job details

Full-time
12 days ago

Qualifications

CI/CD
Data modelling
Cloud infrastructure
Azure
Spark
Git
SQL
Database design
AWS
Analysis skills
Continuous integration
Azure Certification
Scripting
GitHub
ETL
Agile
AI
Communication skills
Python

Full job description

Cloud Platform Engineer

Location

Noida, Uttar Pradesh

Work Mode

Remote

Employment Type

Full-time

Job Overview

We are seeking a highly skilled Cloud Platform Engineer with strong experience in Databricks, Azure Cloud, and Snowflake to join our team for a Cloud Data Modernization project.

The ideal candidate will have hands-on experience in cloud data platforms, ETL migration, data engineering, cloud modernization, CI/CD, and data platform solutions.

Databricks is the primary data skill, Snowflake is the secondary data skill, and strong Azure and/or AWS cloud infrastructure experience is required.

Key Responsibilities

Contribute to the migration of ETL workloads from on-premises platforms to Azure Cloud, Databricks, and Snowflake.
Develop and implement scalable data platform solutions using Databricks, Azure Data Factory (ADF), SHIR, Logic Apps, ADLS Gen2, Blob Storage, and Snowflake.
Review and analyze existing on-premises ETL processes and support their modernization.
Develop and optimize data pipelines using Apache Spark and PySpark.
Implement DevOps practices and CI/CD pipelines using GitHub Actions.
Collaborate with cross-functional teams to ensure seamless integration and reliable data flow.
Tune and optimize workloads for performance, scalability, and cost efficiency.
Implement data quality validation, monitoring, reconciliation, and observability processes.
Support automated testing and data validation frameworks.
Ensure data security, governance, and compliance with industry standards.
Participate in code reviews and follow engineering best practices.
Work effectively within Agile delivery methodologies.
Leverage AI-assisted development tools such as GitHub Copilot, Databricks Assistant, ChatGPT, or Claude to improve engineering productivity.

Required Qualifications

Strong hands-on experience with Databricks.
Experience with Azure Cloud and/or AWS cloud infrastructure.
Hands-on experience with Snowflake.
Strong knowledge of Apache Spark and PySpark.
Experience with Azure Data Factory (ADF), SHIR, Logic Apps, ADLS Gen2, and Blob Storage.
Strong experience in ETL/ELT development using on-premises databases and cloud technologies.
Strong SQL development skills, including complex queries, stored procedures, views, and ETL transformations.
Experience with Python or other scripting languages.
Experience with GitHub, branching, pull requests, and GitHub Actions.
Understanding of CI/CD, automated testing, data quality, monitoring, and observability.
Experience with code reviews and engineering best practices.
Experience working in Agile environments.
Strong analytical, problem-solving, communication, and collaboration skills.
Ability to work independently, manage ambiguity, and meet tight deadlines.

Preferred Qualifications

Experience with Delta Lake and Lakehouse architectures.
Knowledge of Bronze/Silver/Gold (Medallion) architecture.
Experience with Databricks and Snowflake performance optimization.
Knowledge of data modeling and database design.
Experience with Airflow or other orchestration frameworks.
Knowledge of data governance and data quality best practices.
Experience with healthcare payer data domains such as Claims, Membership, Enrollment, Provider, Clinical, and Financial data.
Experience using AI/ML solutions for data engineering workflows and automation.
Azure or Databricks certification is a plus.
Experience with additional cloud platforms and modern data technologies is an advantage.

Candidate Profile

Strong technical and analytical problem-solving skills.
Excellent communication and collaboration abilities.
Self-motivated and comfortable working in a fully remote environment.
Ability to quickly learn and adapt to new technologies.
Strong ownership and attention to quality.
Ability to identify, communicate, and escalate critical issues effectively.
Willingness to travel occasionally, if required by business needs.

Key Skills

Primary Skills: Databricks, Azure Cloud / AWS, Apache Spark, PySpark

Secondary Skills: Snowflake, Azure Data Factory, SHIR, Logic Apps, ADLS Gen2, Blob Storage, Python, SQL, GitHub Actions, CI/CD, Delta Lake, Airflow

Work Location: Hybrid remote in Remote

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Refine Your Search

database and ai support engineer jobs in remote

Cloud Platform Engineer

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