Data Engineer
Data Engineer
Posted on :
17-07-2025
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1 Vacancy
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Job Description
Key Responsibilities:
- 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.
- Visualization & Reporting: Collaborate with data analysts and business stakeholders to create and maintain reporting systems using visualization tools such as Tableau Power BI or Looker.
- Technical Leadership & Mentoring: Provide technical leadership and mentorship to junior data engineers and cross-functional teams. Stay abreast of emerging data technologies and methodologies advocating for their integration where appropriate.
- Documentation & Best Practices: Document data models work processes and pipeline architectures. Establish and promote data engineering best practices to ensure high code quality and efficient workflows.
Qualifications:
- Bachelors or Masters degree in Computer Science Information Technology Engineering or related field.
- 10 years of experience in data engineering or related roles with at least 7-8 years in specialized data engineering tasks on cloud platforms.
- 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.
Employment Type
Full-time
Key Skills
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