

Data Lead - SSIS, AWS Glue,Python
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.
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.