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Architect - Data Engineering (Remote - Mexico)

Remote:

Full Remote

Contract:

Full time

Experience:

Mid-level (2-5 years)

Work from:

Mexico

Offer summary

Qualifications:

Expertise in cloud platforms (AWS, Azure, GCP), Experience with big data platforms (Apache Spark, Presto, EMR), Strong programming skills in Java and Python, Experience with NoSQL databases (DynamoDB, Cosmos DB, MongoDB), Proficiency in container management tools (Kubernetes, Amazon ECS).

Key responsabilities:

Design and deliver innovative data platforms using cloud data warehouses
Lead development of large-scale data processing systems
Integrate AI/ML tools and models into data workflows
Conduct streaming data ingestion and analytics
Develop modern data workflows for process automation

Quid Solutions SME https://www.quid.solutions/

51 - 200 Employees

See more Quid Solutions offers

Job description

🚀 Architect - Data Engineer (Big Data/Cloud) – Lead the Future of Data Platforms!

Do you have a passion for data platforms and cutting-edge technologies? Our client is looking for a skilled Architect - Data Engineer to join a team of technologists who are constantly evolving with the latest innovations. If you’re ready to design and deliver world-class solutions, this could be your perfect opportunity!

Your Mission:

Design and deliver innovative, next-gen data platforms using cloud data warehouses like Amazon Redshift, Snowflake, and Google BigQuery.
Lead the development of large-scale data processing systems on Big Data platforms like Apache Spark, Presto, and Amazon EMR.
Leverage object-oriented programming skills in Java and Python to build scalable, efficient systems.
Implement and manage NoSQL databases such as DynamoDB, Cosmos DB, and MongoDB.
Utilize container management systems like Kubernetes and Amazon ECS for scalable and efficient deployment.
Collaborate with cutting-edge AI/ML tools such as Amazon SageMaker and Azure ML Studio to integrate machine learning models.
Lead streaming data ingestion and analytics efforts using Amazon Kinesis and Apache Kafka.
Integrate visual analytics platforms like Tableau and PowerBI for clear, actionable data insights.
Develop and manage modern data workflows using tools like Apache Airflow, dbt, and Dagster to automate and optimize data processes.
Work independently and collaboratively within small, agile teams to deliver results for forward-thinking organizations in data and analytics.

What You’ll Need to Succeed:

Expertise in cloud platforms (AWS, Azure, GCP) and cloud data warehouses such as Redshift, Snowflake, and BigQuery.
Experience with big data platforms like Apache Spark, Presto, and EMR.
Strong programming skills in Java and Python for building scalable data solutions.
Experience with NoSQL databases like DynamoDB, Cosmos DB, and MongoDB.
Proficiency with container management tools like Kubernetes and Amazon ECS.
Familiarity with AI/ML technologies (Amazon SageMaker, Azure ML Studio) and their integration into data platforms.
Knowledge of streaming technologies (Amazon Kinesis, Apache Kafka) for real-time data processing.
Experience with visual analytics tools like Tableau and PowerBI for creating insightful reports.
Familiarity with modern data workflow automation tools like Apache Airflow, dbt, and Dagster.

Additional Details:

Location: Anywhere in Mexico (remote work from home)
Eligibility: Only fluent English speakers and legal residents/locals can be considered (directly hired as a fulltime employee).
Contract Type: Direct hire, indefinite contract.

Starting Benefits: