Data Engineer (Remote)Straight from Lingaro Group’s careers page. Apply on the company site — no recruiter, no middleman.
GCPBigQuerySQLPythonNoSQLETLAirflowdbtGitJIRAConfluenceSparkDatabricksLookerPower BITableauAlteryxAzure
Data Engineer GCP Mexico
Team: Data E&M - PP GCP
Location: Mexico
Commitment: Full-time
Workplace Type: remote
Must have:
• At least 4 years of experience as a Data Engineer working with GCP cloud-based infrastructure & systems.
• Deep knowledge of Google Cloud Platform and cloud computing services.
• Extensive experience in design, build, and deploy data pipelines in the cloud, to ingest data from various sources like databases, APIs or streaming platforms.
• Proficient in database management systems such as SQL (Big Query is a must), NoSQL. Candidate should be able to design, configure, and manage databases to ensure optimal performance and reliability.
• Programming skills (SQL, Python, other scripting).
• Proficient in data modeling techniques and database optimization. Knowledge of query optimization, indexing, and performance tuning is necessary for efficient data retrieval and processing.
• Knowledge of at least one orchestration and scheduling tool (Airflow is a must).
• Experience with data integration tools and techniques, such as ETL and ELT Candidate should be able to integrate data from multiple sources and transform it into a format that is suitable for analysis.
• Knowledge of modern data transformation tools (such as DBT, Dataform).
• Excellent communication skills to effectively collaborate with cross-functional teams, including data scientists, analysts, and business stakeholders. Ability to convey technical concepts to non-technical stakeholders in a clear and concise manner.
• Ability to actively participate/lead discussions with clients to identify and assess concrete and ambitious avenues for improvement.
• Tools knowledge: Git, Jira, Confluence, etc.
• Open to learn new technologies and solutions.
• Experience in multinational environment and distributed teams.
Good to have:
• Certifications in big data technologies or/and cloud platforms.
• Experience with BI solutions (e.g. Looker, Power BI, Tableau).
• Experience with ETL tools: e.g. Talend, Alteryx
• Experience with Apache Spark, especially in GCP environment.
• Experience with Databricks.
• Experience with Azure cloud-based infrastructure & systems.
• At least 4 years of experience as a Data Engineer working with GCP cloud-based infrastructure & systems.
• Deep knowledge of Google Cloud Platform and cloud computing services.
• Extensive experience in design, build, and deploy data pipelines in the cloud, to ingest data from various sources like databases, APIs or streaming platforms.
• Proficient in database management systems such as SQL (Big Query is a must), NoSQL. Candidate should be able to design, configure, and manage databases to ensure optimal performance and reliability.
• Programming skills (SQL, Python, other scripting).
• Proficient in data modeling techniques and database optimization. Knowledge of query optimization, indexing, and performance tuning is necessary for efficient data retrieval and processing.
• Knowledge of at least one orchestration and scheduling tool (Airflow is a must).
• Experience with data integration tools and techniques, such as ETL and ELT Candidate should be able to integrate data from multiple sources and transform it into a format that is suitable for analysis.
• Knowledge of modern data transformation tools (such as DBT, Dataform).
• Excellent communication skills to effectively collaborate with cross-functional teams, including data scientists, analysts, and business stakeholders. Ability to convey technical concepts to non-technical stakeholders in a clear and concise manner.
• Ability to actively participate/lead discussions with clients to identify and assess concrete and ambitious avenues for improvement.
• Tools knowledge: Git, Jira, Confluence, etc.
• Open to learn new technologies and solutions.
• Experience in multinational environment and distributed teams.
Good to have:
• Certifications in big data technologies or/and cloud platforms.
• Experience with BI solutions (e.g. Looker, Power BI, Tableau).
• Experience with ETL tools: e.g. Talend, Alteryx
• Experience with Apache Spark, especially in GCP environment.
• Experience with Databricks.
• Experience with Azure cloud-based infrastructure & systems.
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