| Azure cloud platform
Python
SQL
Postgres
MongoDB | Can you describe your experience with Azure cloud platform
How do you use Python in data engineering
How do you work with SQL databases
Can you explain your experience with Postgres
How do you handle data transformation and loading across systems | | Azure Data Engineer
Job description/tech stack:
We are looking for a proficient Azure Data Engineer to design build and maintain scalable data pipelines and
engineering tools and technologies including Python SQL Postgres MongoDB PySpark Databricks and
high-quality performant data solutions that enable data-driven decision-making.
Key Responsibilities
Design develop and optimize end-to-end data pipelines and ETL/ELT processes leveraging Azure Data services and frameworks.
Build scalable data solutions using Azure Databricks PySpark and Snowflake to process both batch and real-time data workloads.
Develop and maintain data models and schemas in relational and NoSQL databases such as Postgres and MongoDB.
Write efficient reusable and maintainable code primarily in Python and SQL to transform and load data across various systems.
Monitor data pipeline performance and implement improvements for reliability scalability and optimization.
Ensure data quality governance and compliance within all data engineering efforts.
Troubleshoot and resolve data-related issues working closely with cloud infrastructure and platform teams.
Document data architecture workflows and processes to support ongoing maintenance and knowledge sharing. |
Azure cloud platform Python SQL Postgres MongoDB Can you describe your experience with Azure cloud platform How do you use Python in data engineering How do you work with SQL databases Can you explain your experience with Postgres How do you handle da...
| Azure cloud platform
Python
SQL
Postgres
MongoDB | Can you describe your experience with Azure cloud platform
How do you use Python in data engineering
How do you work with SQL databases
Can you explain your experience with Postgres
How do you handle data transformation and loading across systems | | Azure Data Engineer
Job description/tech stack:
We are looking for a proficient Azure Data Engineer to design build and maintain scalable data pipelines and
engineering tools and technologies including Python SQL Postgres MongoDB PySpark Databricks and
high-quality performant data solutions that enable data-driven decision-making.
Key Responsibilities
Design develop and optimize end-to-end data pipelines and ETL/ELT processes leveraging Azure Data services and frameworks.
Build scalable data solutions using Azure Databricks PySpark and Snowflake to process both batch and real-time data workloads.
Develop and maintain data models and schemas in relational and NoSQL databases such as Postgres and MongoDB.
Write efficient reusable and maintainable code primarily in Python and SQL to transform and load data across various systems.
Monitor data pipeline performance and implement improvements for reliability scalability and optimization.
Ensure data quality governance and compliance within all data engineering efforts.
Troubleshoot and resolve data-related issues working closely with cloud infrastructure and platform teams.
Document data architecture workflows and processes to support ongoing maintenance and knowledge sharing. |
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Job Location:
Monthly Salary:
Posted on:
3 days ago
Vacancies:
1 Vacancy
