Job Title: Python Engineer with Grafana
Work Mode: Remote
Visa: USC/H4EAD
Interview: Virtual
Job Description We are seeking a Python Engineer with Grafana expertise to join our clients data engineering team. The ideal candidate will have a strong background in Python-based ETL development SQL across multiple databases and visualization with Grafana. This role involves working with diverse data sources building custom utilities and supporting complex data transformations into time-series databases.
Responsibilities -
Develop and maintain Python-based ETL pipelines for data ingestion transformation and loading into time-series and relational databases.
-
Work with a variety of data sources including REST APIs Kafka streams SQL/NoSQL databases and time-series databases (TimescaleDB ELK stack).
-
Write efficient SQL queries across multiple platforms: Microsoft SQL Server Oracle SQL PostgreSQL MongoDB.
-
Extend and optimize an existing Python framework to accommodate new data integration needs.
-
Build custom utilities to process and transform data into target formats.
-
Design and implement data masking warehousing and data lake solutions where applicable.
-
Deploy and manage solutions in Linux-based environments.
-
Use Grafana for visualization monitoring and reporting of processed data.
-
Collaborate with cross-functional teams to ensure high-quality scalable and reliable solutions.
Required Skills & Experience -
Strong Python programming skills with hands-on ETL development experience.
-
Proficiency in writing complex queries across multiple SQL/NoSQL databases (MS SQL Oracle PostgreSQL MongoDB).
-
Hands-on experience with time-series databases (TimescaleDB ELK stack or similar).
-
Familiarity with data warehousing data masking and data lake concepts.
-
Experience in Linux environments for development and deployment.
-
Grafana expertise for visualization and dashboarding.
-
Solid understanding of Kafka REST APIs and streaming data processing.
-
Ability to extend frameworks and build custom Python utilities.
Kindly share the updated resume to
Job Title: Python Engineer with Grafana Work Mode: Remote Visa: USC/H4EAD Interview: Virtual Job Description We are seeking a Python Engineer with Grafana expertise to join our clients data engineering team. The ideal candidate will have a strong background in Python-based ETL development SQL ...
Job Title: Python Engineer with Grafana
Work Mode: Remote
Visa: USC/H4EAD
Interview: Virtual
Job Description We are seeking a Python Engineer with Grafana expertise to join our clients data engineering team. The ideal candidate will have a strong background in Python-based ETL development SQL across multiple databases and visualization with Grafana. This role involves working with diverse data sources building custom utilities and supporting complex data transformations into time-series databases.
Responsibilities -
Develop and maintain Python-based ETL pipelines for data ingestion transformation and loading into time-series and relational databases.
-
Work with a variety of data sources including REST APIs Kafka streams SQL/NoSQL databases and time-series databases (TimescaleDB ELK stack).
-
Write efficient SQL queries across multiple platforms: Microsoft SQL Server Oracle SQL PostgreSQL MongoDB.
-
Extend and optimize an existing Python framework to accommodate new data integration needs.
-
Build custom utilities to process and transform data into target formats.
-
Design and implement data masking warehousing and data lake solutions where applicable.
-
Deploy and manage solutions in Linux-based environments.
-
Use Grafana for visualization monitoring and reporting of processed data.
-
Collaborate with cross-functional teams to ensure high-quality scalable and reliable solutions.
Required Skills & Experience -
Strong Python programming skills with hands-on ETL development experience.
-
Proficiency in writing complex queries across multiple SQL/NoSQL databases (MS SQL Oracle PostgreSQL MongoDB).
-
Hands-on experience with time-series databases (TimescaleDB ELK stack or similar).
-
Familiarity with data warehousing data masking and data lake concepts.
-
Experience in Linux environments for development and deployment.
-
Grafana expertise for visualization and dashboarding.
-
Solid understanding of Kafka REST APIs and streaming data processing.
-
Ability to extend frameworks and build custom Python utilities.
Kindly share the updated resume to
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