Designation: ETL / Data Integration Consultant Experience: 8 Years Location: Ahmedabad On-site Priority: Immediate Joiners Preferred
Job Summary
We are looking for a skilled ETL / Data Integration Consultant to build scalable high-performance data platforms. The ideal candidate should have strong hands-on experience with Pentaho Snowflake Databricks and AWS along with expertise in ETL/ELT development data warehousing and modern data transformation practices. This role requires an individual who can work independently deliver reliable data solutions and collaborate effectively with cross-functional teams.
Roles & Responsibilities
Design develop and maintain scalable ETL/ELT pipelines using Pentaho and modern data engineering tools.
Build and optimize enterprise data platforms using Snowflake and Databricks.
Design and implement data warehouses dimensional models and data marts.
Develop data transformation models using dbt and ensure high-quality reliable data delivery.
Optimize SQL queries and improve Snowflake performance for large-scale datasets.
Integrate data pipelines with Tableau and other BI/Reporting platforms.
Work with AWS Cloud Services and Linux environments to deploy and support data solutions.
Process structured and semi-structured data formats such as JSON CSV XML and Excel.
Follow Git-based development practices and collaborate using Jira.
Monitor troubleshoot and optimize data pipelines to ensure performance scalability and reliability.
Must-Have Skills
8 years of experience in Data Engineering.
Strong hands-on experience with Pentaho (PDI/Kettle).
Expertise in Snowflake and Databricks.
Strong understanding of Data Warehousing Dimensional Modeling and Data Mart design.
Experience with dbt for data transformation and modeling.
Advanced SQL development query optimization and performance tuning.
Experience building end-to-end ETL/ELT pipelines.
Hands-on experience with AWS Cloud Services and Linux.
Experience integrating data platforms with Tableau or other BI tools.
Strong understanding of JSON CSV XML and Excel data formats.
Experience with GitHub version control and Jira.
Excellent analytical troubleshooting and communication skills.
Good-to-Have Skills
Snowflake Administration.
Apache Airflow.
CI/CD implementation for Data Engineering workflows.
Data platform monitoring automation and performance optimization.
Exposure to enterprise data governance and best practices.
Required Skills:
Pentaho Snowflake Databricks AWS ETL ELT Data Warehousing Dimensional Modeling Data Mart dbt SQL Query Optimization Performance Tuning Tableau BI Platforms Linux JSON CSV XML Excel Git GitHub Jira Communication Analytical Troubleshooting Snowflake Administration Apache Airflow CI/CD Data Governance Automation Monitoring Performance Optimization Data Engineering
Designation: ETL / Data Integration ConsultantExperience: 8 YearsLocation: Ahmedabad On-sitePriority: Immediate Joiners PreferredJob SummaryWe are looking for a skilled ETL / Data Integration Consultant to build scalable high-performance data platforms. The ideal candidate should have strong hands-...
Designation: ETL / Data Integration Consultant Experience: 8 Years Location: Ahmedabad On-site Priority: Immediate Joiners Preferred
Job Summary
We are looking for a skilled ETL / Data Integration Consultant to build scalable high-performance data platforms. The ideal candidate should have strong hands-on experience with Pentaho Snowflake Databricks and AWS along with expertise in ETL/ELT development data warehousing and modern data transformation practices. This role requires an individual who can work independently deliver reliable data solutions and collaborate effectively with cross-functional teams.
Roles & Responsibilities
Design develop and maintain scalable ETL/ELT pipelines using Pentaho and modern data engineering tools.
Build and optimize enterprise data platforms using Snowflake and Databricks.
Design and implement data warehouses dimensional models and data marts.
Develop data transformation models using dbt and ensure high-quality reliable data delivery.
Optimize SQL queries and improve Snowflake performance for large-scale datasets.
Integrate data pipelines with Tableau and other BI/Reporting platforms.
Work with AWS Cloud Services and Linux environments to deploy and support data solutions.
Process structured and semi-structured data formats such as JSON CSV XML and Excel.
Follow Git-based development practices and collaborate using Jira.
Monitor troubleshoot and optimize data pipelines to ensure performance scalability and reliability.
Must-Have Skills
8 years of experience in Data Engineering.
Strong hands-on experience with Pentaho (PDI/Kettle).
Expertise in Snowflake and Databricks.
Strong understanding of Data Warehousing Dimensional Modeling and Data Mart design.
Experience with dbt for data transformation and modeling.
Advanced SQL development query optimization and performance tuning.
Experience building end-to-end ETL/ELT pipelines.
Hands-on experience with AWS Cloud Services and Linux.
Experience integrating data platforms with Tableau or other BI tools.
Strong understanding of JSON CSV XML and Excel data formats.
Experience with GitHub version control and Jira.
Excellent analytical troubleshooting and communication skills.
Good-to-Have Skills
Snowflake Administration.
Apache Airflow.
CI/CD implementation for Data Engineering workflows.
Data platform monitoring automation and performance optimization.
Exposure to enterprise data governance and best practices.
Required Skills:
Pentaho Snowflake Databricks AWS ETL ELT Data Warehousing Dimensional Modeling Data Mart dbt SQL Query Optimization Performance Tuning Tableau BI Platforms Linux JSON CSV XML Excel Git GitHub Jira Communication Analytical Troubleshooting Snowflake Administration Apache Airflow CI/CD Data Governance Automation Monitoring Performance Optimization Data Engineering