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A global technology firm in Toluca is seeking a Shell Scripting/Python Developer Technology Lead to design and develop ETL processes, build data pipelines on Google Cloud Platform, and automate workflows. The ideal candidate will have extensive experience in data manipulation, SQL, and task automation in Linux/Unix environments. A passion for problem-solving and attention to detail are essential. This position offers a hybrid work model with three days in the office each week.
Shell Scripting/Python Developer Technology Lead
Technology|ETL & Data Quality|ETL - Others, Technology|Open System|Shell scripting, Technology|OpenSystem|Python - OpenSystem
Domain
Delivery
Interest Group
Infy Mexico
Company
Requisition ID
137151BR
Job Description: ETL, python and shell scripting
Key Responsibilities:
Design and develop robust and scalable ETL processes to move and transform large volumes of data from various sources.
Build and maintain data pipelines on Google Cloud Platform (GCP) using services such as Dataflow, Cloud Functions, BigQuery, and Cloud Storage.
Automate workflows and processes using Shell Scripting and Python.
Write and optimize complex SQL queries for data manipulation and analysis in relational (e.g., PostgreSQL, MySQL) and NoSQL databases.
Monitor, debug, and troubleshoot data pipelines to ensure their proper functioning and performance.
Document implemented processes, architectures, and data flows.
Skills and Qualifications
Required:
Knowledge of Google Cloud Platform (GCP), especially with data services like BigQuery and Dataflow.
Proficiency in Python for data manipulation and script development (knowledge of libraries like Pandas, Apache Beam is a plus).
Strong skills in Shell Scripting for task automation in Linux/Unix environments.
Extensive experience working with SQL (e.g., PostgreSQL, SQL Server, MySQL) and NoSQL databases. Ability to write complex and optimized queries.
Solid understanding of data modeling and data warehousing principles.
Excellent problem-solving skills and attention to detail.
Preferred:
Google Cloud certification (e.g., Professional Data Engineer).
Experience with workflow orchestration tools such as Apache Airflow or Cloud Composer.
Knowledge of Agile methodologies (Scrum/Kanban).
Familiarity with container technologies like Docker and Kubernetes.
Ability to communicate effectively in English (oral and written).
Job description
Job Description: ETL, python and shell scripting
Key Responsibilities:
Design and develop robust and scalable ETL processes to move and transform large volumes of data from various sources.
Build and maintain data pipelines on Google Cloud Platform (GCP) using services such as Dataflow, Cloud Functions, BigQuery, and Cloud Storage.
Automate workflows and processes using Shell Scripting and Python.
Write and optimize complex SQL queries for data manipulation and analysis in relational (e.g., PostgreSQL, MySQL) and NoSQL databases.
Monitor, debug, and troubleshoot data pipelines to ensure their proper functioning and performance.
Document implemented processes, architectures, and data flows.
Skills and Qualifications
Required:
Proven experience in ETL development and/or data engineering.
Knowledge of Google Cloud Platform (GCP), especially with data services like BigQuery and Dataflow.
Proficiency in Python for data manipulation and script development (knowledge of libraries like Pandas, Apache Beam is a plus).
Strong skills in Shell Scripting for task automation in Linux/Unix environments.
Extensive experience working with SQL (e.g., PostgreSQL, SQL Server, MySQL) and NoSQL databases. Ability to write complex and optimized queries.
Solid understanding of data modeling and data warehousing principles.
Excellent problem-solving skills and attention to detail.
Preferred:
Google Cloud certification (e.g., Professional Data Engineer).
Experience with workflow orchestration tools such as Apache Airflow or Cloud Composer.
Knowledge of Agile methodologies (Scrum/Kanban).
Familiarity with container technologies like Docker and Kubernetes.
Ability to communicate effectively in English (oral and written).