Job Description:

 Design, develop, and maintain scalable data pipelines and ETL processes to support data integration and analytics.

 Collaborate with data architects, modelers and IT team members to help define and evolve the overall cloud-based

data architecture strategy, including data warehousing, data lakes, streaming analytics, and data governance

frameworks

 Collaborate with data scientists, analysts, and other business stakeholders to understand data requirements and

deliver solutions.

 Optimize and manage data storage solutions (e.g., S3, Snowflake, Redshift) ensuring data quality, integrity, security,

and accessibility.

 Implement data quality and validation processes to ensure data accuracy and reliability.

 Develop and maintain documentation for data processes, architecture, and workflows.

 Monitor and troubleshoot data pipeline performance and resolve issues promptly.

Requirements:

· Associate degree in Computer Science or MIS with a minimum of 4 years' experience; or bachelor's degree in computer science, or MIS, or related field with a minimum of 2 years of experience; or a master's degree in computer science, MIS, with minimum 1 year of experience; or relevant Business or IT experience of minimum of 4 years.

· Moderate level of technical understanding and demonstrated knowledge in integrating data between applications and data warehouses

· Knowledge of project management and experience working on project teams required.

· Moderate knowledge of and experience with life cycle methodology,

· Exposure to or experience in Expertise in one or more of a major cloud platform (AWS, Azure or GCP)

· Moderate knowledge of and experience with the software development lifecycle.

· Experience working in project teams and contributing to a successful outcome

· Hands-on experience with AWS services such as AWS Glue, Lambda, Athena, Step Functions, and Lake Formation

· Proficiency in Python and SQL

· 4+ years of progressive experience in data engineering, with a significant portion dedicated to cloud-based data platforms.

· Associate degree in Computer Science or MIS with a minimum of 4 years' experience; or bachelor's degree in computer science, or MIS, or related field with a minimum of 2 years of experience; or a master's degree in computer science, MIS, with minimum 1 year of experience; or relevant Business or IT experience of minimum of 4 years.

· Moderate level of technical understanding and demonstrated knowledge in integrating data between applications and data warehouses

· Knowledge of project management and experience working on project teams required.

· Moderate knowledge of and experience with life cycle methodology,

· Exposure to or experience in Expertise in one or more of a major cloud platform (AWS, Azure or GCP)

· Moderate knowledge of and experience with the software development lifecycle.

· Experience working in project teams and contributing to a successful outcome

· Hands-on experience with AWS services such as AWS Glue, Lambda, Athena, Step Functions, and Lake Formation

· Proficiency in Python and SQL

· 4+ years of progressive experience in data engineering, with a significant portion dedicated to cloud-based data platforms.

· Associate degree in Computer Science or MIS with a minimum of 4 years' experience; or bachelor's degree in computer science, or MIS, or related field with a minimum of 2 years of experience; or a master's degree in computer science, MIS, with minimum 1 year of experience; or relevant Business or IT experience of minimum of 4 years.

· Moderate level of technical understanding and demonstrated knowledge in integrating data between applications and data warehouses

· Knowledge of project management and experience working on project teams required.

· Moderate knowledge of and experience with life cycle methodology,

· Exposure to or experience in Expertise in one or more of a major cloud platform (AWS, Azure or GCP)

· Moderate knowledge of and experience with the software development lifecycle.

· Experience working in project teams and contributing to a successful outcome

· Hands-on experience with AWS services such as AWS Glue, Lambda, Athena, Step Functions, and Lake Formation

· Proficiency in Python and SQL

· 4+ years of progressive experience in data engineering, with a significant portion dedicated to cloud-based data platforms.

· Associate degree in Computer Science or MIS with a minimum of 4 years' experience; or bachelor's degree in computer science, or MIS, or related field with a minimum of 2 years of experience; or a master's degree in computer science, MIS, with minimum 1 year of experience; or relevant Business or IT experience of minimum of 4 years.

· Moderate level of technical understanding and demonstrated knowledge in integrating data between applications and data warehouses

· Knowledge of project management and experience working on project teams required.

· Moderate knowledge of and experience with life cycle methodology,

· Exposure to or experience in Expertise in one or more of a major cloud platform (AWS, Azure or GCP)

· Moderate knowledge of and experience with the software development lifecycle.

· Experience working in project teams and contributing to a successful outcome

· Hands-on experience with AWS services such as AWS Glue, Lambda, Athena, Step Functions, and Lake Formation

· Proficiency in Python and SQL

· 4+ years of progressive experience in data engineering, with a significant portion dedicated to cloud-based data platforms.

· Familiarity with Snowflake

· Knowledge of dbt (data build tool)

· Strong problem-solving skills, especially in data pipeline troubleshooting and optimization

 Associate degree in Computer Science or MIS with a minimum of 4 years' experience; or bachelor's degree in

computer science, or MIS, or related field with a minimum of 2 years of experience; or a master's degree in computer

science, MIS, with minimum 1 year of experience; or relevant Business or IT experience of minimum of 4 years.

 Moderate level of technical understanding and demonstrated knowledge in integrating data between applications and

data warehouses

 Knowledge of project management and experience working on project teams required.

 Moderate knowledge of and experience with life cycle methodology,

 Exposure to or experience in Expertise in one or more of a major cloud platform (AWS, Azure or GCP)

 Moderate knowledge of and experience with the software development lifecycle.

 Experience working in project teams and contributing to a successful outcome

 Hands-on experience with AWS services such as AWS Glue, Lambda, Athena, Step Functions, and Lake Formation

 Proficiency in Python and SQL

 4+ years of progressive experience in data engineering, with a significant portion dedicated to cloud-based data

platforms.

 Associate degree in Computer Science or MIS with a minimum of 4 years' experience; or bachelor's degree in

computer science, or MIS, or related field with a minimum of 2 years of experience; or a master's degree in computer

science, MIS, with minimum 1 year of experience; or relevant Business or IT experience of minimum of 4 years.

 Moderate level of technical understanding and demonstrated knowledge in integrating data between applications and

data warehouses

 Knowledge of project management and experience working on project teams required.

 Moderate knowledge of and experience with life cycle methodology,

 Exposure to or experience in Expertise in one or more of a major cloud platform (AWS, Azure or GCP)

 Moderate knowledge of and experience with the software development lifecycle.

 Experience working in project teams and contributing to a successful outcome

 Hands-on experience with AWS services such as AWS Glue, Lambda, Athena, Step Functions, and Lake Formation

 Proficiency in Python and SQL

 4+ years of progressive experience in data engineering, with a significant portion dedicated to cloud-based data

platforms.

AWS Glue, dbt).

 Associate degree in Computer Science or MIS with a minimum of 4 years' experience; or bachelor's degree in

computer science, or MIS, or related field with a minimum of 2 years of experience; or a master's degree in computer

science, MIS, with minimum 1 year of experience; or relevant Business or IT experience of minimum of 4 years.

 Moderate level of technical understanding and demonstrated knowledge in integrating data between applications and

data warehouses

 Knowledge of project management and experience working on project teams required.

 Moderate knowledge of and experience with life cycle methodology,

 Exposure to or experience in Expertise in one or more of a major cloud platform (AWS, Azure or GCP)

 Moderate knowledge of and experience with the software development lifecycle.

 Experience working in project teams and contributing to a successful outcome

 Hands-on experience with AWS services such as AWS Glue, Lambda, Athena, Step Functions, and Lake Formation

 Proficiency in Python and SQL

 4+ years of progressive experience in data engineering, with a significant portion dedicated to cloud-based data

platforms.

AWS Glue, dbt).

 Associate degree in Computer Science or MIS with a minimum of 4 years' experience; or bachelor's degree in

computer science, or MIS, or related field with a minimum of 2 years of experience; or a master's degree in computer

science, MIS, with minimum 1 year of experience; or relevant Business or IT experience of minimum of 4 years.

 Moderate level of technical understanding and demonstrated knowledge in integrating data between applications and

data warehouses

 Knowledge of project management and experience working on project teams required.

 Moderate knowledge of and experience with life cycle methodology,

 Exposure to or experience in Expertise in one or more of a major cloud platform (AWS, Azure or GCP)

 Moderate knowledge of and experience with the software development lifecycle.

 Experience working in project teams and contributing to a successful outcome

 Hands-on experience with AWS services such as AWS Glue, Lambda, Athena, Step Functions, and Lake Formation

 Proficiency in Python and SQL

 4+ years of progressive experience in data engineering, with a significant portion dedicated to cloud-based data

platforms.

AWS Glue, dbt).

architect certification (Associate or Professional) is a plus

 Familiarity with Snowflake

 Knowledge of dbt (data build tool)

 Strong problem-solving skills, especially in data pipeline troubleshooting and optimization