- Data Pipeline Development : Design, develop, and maintain scalable data pipelines and ETL processes using AWS services (e.g., Glue, Lambda, S3) and Snowflake. Ensure efficient data ingestion, transformation, and extraction processes tailored to business needs.

- Data Integration & APIs : Lead efforts in integrating data from multiple and diverse sources, including databases, APIs, and third-party services. Develop and manage APIs for data access and distribution, ensuring secure and efficient data exchange.

- Snowflake Management : Optimize and manage Snowflake environments for data warehousing, ensuring optimal performance, scalability, and cost management. implement data modeling strategies and best practices within Snowflake.

- Cloud & Infrastructure Management : Architect and optimize cloud infrastructure for data solutions using AWS services, ensuring robust security, high availability, and disaster recovery.

Qualifications :

- Expertise in AWS services (e.g., S3, Glue, Lambda).

- Extensive experience with Snowflake, including data warehousing, performance tuning, and

cost optimization.

- Proficiency in ETL tools, data integration, and API development.

- Experience with data visualization tools such as Tableau, Power BI, or Looker.

- Strong programming skills in Python, SQL, and one or more data pipeline orchestration tools

(e.g., Apache Airflow).

- Exceptional problem-solving skills and ability to handle complex data challenges.

- Excellent communication and collaboration skills, with experience working in cross-functional

teams.

- Demonstrated experience working within Agile Scrum frameworks to deliver iterative and

incremental value.

- Proficient in collaborating with cross-functional Scrum teams, actively participating in key

ceremonies such as sprint planning, daily stand-ups, sprint reviews, and retrospectives to

ensure continuous delivery and improvement.

- Strong understanding of Agile principles and Scrum practices, with a proven track record of effectively breaking down complex projects into manageable sprints and iterations.

- Capable of adapting workflows and processes to enhance efficiency and meet evolving project requirements.

- Experience in utilizing Agile project management tools such as Jira or Trello for tracking progress, managing backlogs, and maintaining transparency with stakeholders.

- Adept at fostering a culture of collaboration, accountability, and continuous feedback within Agile teams.

- Strong understanding of data security, privacy regulations, and compliance.

- Certifications in AWS or Snowflake are a plus.

- Data Pipeline Development : Design, develop, and maintain scalable data pipelines and ETL

processes using AWS services (e.g., Glue, Lambda, S3) and Snowflake. Ensure efficient data ingestion, transformation, and extraction processes tailored to business needs.

- Cloud & Infrastructure Management : Architect and optimize cloud infrastructure for data solutions using AWS services, ensuring robust security, high availability, and disaster recovery.

Qualifications :

Expertise in AWS services (e.g., S3, Glue, Lambda) :

- Extensive experience with Snowflake, including data warehousing, performance tuning, and

cost optimization.

- Proficiency in ETL tools, data integration, and API development.

- Experience with data visualization tools such as Tableau, Power BI, or Looker.

- Strong programming skills in Python, SQL, and one or more data pipeline orchestration tools

(e.g., Apache Airflow).

- Exceptional problem-solving skills and ability to handle complex data challenges.

- Excellent communication and collaboration skills, with experience working in cross-functional teams.

- Demonstrated experience working within Agile Scrum frameworks to deliver iterative and incremental value.

- Proficient in collaborating with cross-functional Scrum teams, actively participating in key ceremonies such as sprint planning, daily stand-ups, sprint reviews, and retrospectives to ensure continuous delivery and improvement.

- Strong understanding of Agile principles and Scrum practices, with a proven track record of effectively breaking down complex projects into manageable sprints and iterations.

- Capable of adapting workflows and processes to enhance efficiency and meet evolving project requirements.

- Experience in utilizing Agile project management tools such as Jira or Trello for tracking progress, managing backlogs, and maintaining transparency with stakeholders.

- Adept at fostering a culture of collaboration, accountability, and continuous feedback within Agile teams.

- Strong understanding of data security, privacy regulations, and compliance.

- Certifications in AWS or Snowflake are a plus.