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Data Lead - SSIS, AWS Glue,Python

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Lead with 15-20 years of experience in data integration, architecture, and engineering. Key skills include SSIS, AWS Glue, and Python. Proven leadership and communication skills are essential. Contract length and pay rate are unspecified.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
💰 - Day rate
Unknown
Unknown
368
🗓️ - Date discovered
March 28, 2025
🕒 - Project duration
Unknown
🏝️ - Location type
Unknown
📄 - Contract type
Unknown
🔒 - Security clearance
Unknown
📍 - Location detailed
London Area, United Kingdom
🧠 - Skills detailed
#Data Engineering #TensorFlow #Deployment #Continuous Deployment #Monitoring #BigQuery #Synapse #Data Analysis #Data Science #AWS Glue #Azure Synapse Analytics #Redshift #AWS (Amazon Web Services) #DevOps #R #Data Integration #Kanban #Cloud #Azure #Leadership #Data Architecture #Agile #Scrum #SSIS (SQL Server Integration Services) #Python
Role description
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Job Summary:

We're looking for an experienced Data Lead with a strong background in data integration, data architecture, and data engineering. The ideal candidate will have 15-20 years of experience in designing and implementing data integration solutions using various technologies such as SSIS, Python, and AWS Glue.

Requirements:

   • Experience

   • : 15-20 years of experience in data integration, data architecture, and data engineering.

   • Technical Skills

   • : Strong technical skills in data integration technologies such as SSIS, Python, and AWS Glue.

   • Leadership

   • : Proven leadership skills, with experience in leading teams of data engineers and data analysts.

   • Communication

   • : Excellent communication skills, with the ability to communicate technical concepts to non-technical stakeholders.

   • Problem-Solving

   • : Strong problem-solving skills, with the ability to analyze complex data integration issues and develop creative solutions.

Nice to Have:

   • Cloud Data Platforms

   • : Experience with cloud data platforms such as AWS Redshift, Google BigQuery, or Azure Synapse Analytics.

   • Data Science

   • : Knowledge of data science concepts and experience with data science tools such as R, Julia, or TensorFlow.

   • DevOps

   • : Experience with DevOps practices such as continuous integration, continuous deployment, and continuous monitoring.

   • Agile Methodologies

   • : Experience with Agile methodologies such as Scrum or Kanban.