Job Title: Data Transformation Consultant
Interview: Virtual
Job Location: Remote
Job Duration: 6 Months
Job Summary:
The Data Transformation Consultant partners with business and technical stakeholders to modernize and optimize enterprise data ecosystems. This role designs and delivers data transformation strategies builds scalable data pipelines and ensures data quality governance and performance to enable analytics digital transformation and data-driven decision-making.
Key Responsibilities:
- Engage stakeholders to understand data challenges transformation goals and success measures
- Define and deliver data transformation roadmaps aligned to enterprise architecture and business strategy
- Design build and optimize ETL/ELT pipelines across on-premises and cloud environments
- Transform cleanse and integrate structured and unstructured data from multiple source systems
- Develop scalable reusable data models to support reporting analytics and AI/ML use cases
- Establish data quality standards validation rules and monitoring processes
- Support data governance initiatives including metadata lineage and master data management
- Ensure solutions meet security compliance and enterprise data policy requirements
- Lead workshops contribute to solution design documentation and technical reviews
- Mentor junior team members and contribute to best practices and reusable assets
Required Qualifications:
- Bachelors degree in Computer Science Information Systems Engineering or related field
- 5 years of experience in data transformation data engineering or analytics consulting
- Strong experience designing and implementing ETL/ELT solutions on modern data platforms
- Proficiency in SQL and one programming language (Python Scala or Java)
- Experience working with relational and non-relational data sources
- Strong consulting problem-solving and stakeholder communication skills
Preferred Qualifications:
- Experience with Azure AWS or Google Cloud
- Hands-on experience with tools such as dbt Spark Airflow Fivetran Informatica or Talend
- Knowledge of data warehousing and lakehouse architectures
- Familiarity with DataOps/DevOps and CI/CD pipelines
- Experience supporting BI analytics or AI/ML workloads
Required Skills:
version managementagile methodologystreamservegitlabcommunication skilljsonsvnxmlinformatica data
Job Title: Data Transformation ConsultantInterview: VirtualJob Location: RemoteJob Duration: 6 MonthsJob Summary:The Data Transformation Consultant partners with business and technical stakeholders to modernize and optimize enterprise data ecosystems. This role designs and delivers data transformati...
Job Title: Data Transformation Consultant
Interview: Virtual
Job Location: Remote
Job Duration: 6 Months
Job Summary:
The Data Transformation Consultant partners with business and technical stakeholders to modernize and optimize enterprise data ecosystems. This role designs and delivers data transformation strategies builds scalable data pipelines and ensures data quality governance and performance to enable analytics digital transformation and data-driven decision-making.
Key Responsibilities:
- Engage stakeholders to understand data challenges transformation goals and success measures
- Define and deliver data transformation roadmaps aligned to enterprise architecture and business strategy
- Design build and optimize ETL/ELT pipelines across on-premises and cloud environments
- Transform cleanse and integrate structured and unstructured data from multiple source systems
- Develop scalable reusable data models to support reporting analytics and AI/ML use cases
- Establish data quality standards validation rules and monitoring processes
- Support data governance initiatives including metadata lineage and master data management
- Ensure solutions meet security compliance and enterprise data policy requirements
- Lead workshops contribute to solution design documentation and technical reviews
- Mentor junior team members and contribute to best practices and reusable assets
Required Qualifications:
- Bachelors degree in Computer Science Information Systems Engineering or related field
- 5 years of experience in data transformation data engineering or analytics consulting
- Strong experience designing and implementing ETL/ELT solutions on modern data platforms
- Proficiency in SQL and one programming language (Python Scala or Java)
- Experience working with relational and non-relational data sources
- Strong consulting problem-solving and stakeholder communication skills
Preferred Qualifications:
- Experience with Azure AWS or Google Cloud
- Hands-on experience with tools such as dbt Spark Airflow Fivetran Informatica or Talend
- Knowledge of data warehousing and lakehouse architectures
- Familiarity with DataOps/DevOps and CI/CD pipelines
- Experience supporting BI analytics or AI/ML workloads
Required Skills:
version managementagile methodologystreamservegitlabcommunication skilljsonsvnxmlinformatica data
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