Job Description :

Responsibilities :

- Design, develop, and maintain scalable data pipelines and systems on AWS.

- Implement data integration solutions using AWS services such as S3, Redshift, Glue, and Lambda.

- Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver solutions.

- Optimize and tune data processing workflows for performance and cost-efficiency.

- Ensure data quality, integrity, and security across all data platforms.

- Monitor and troubleshoot data pipeline issues and implement solutions to prevent future occurrences.

- Develop and maintain documentation for data engineering processes and solutions.

Requirements :

- Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.

- 3+ years of experience in data engineering with a focus on AWS technologies.

- Proficiency in programming languages such as Python, Java, or Scala.

- Strong experience with SQL and database technologies.

- Hands-on experience with AWS services like EC2, S3, Redshift, Glue, Lambda, and RDS.

- Knowledge of data warehousing concepts and ETL processes.

- Familiarity with big data technologies such as Hadoop, Spark, or Kafka is a plus.

- Excellent problem-solving skills and attention to detail.

- Strong communication and collaboration skills.

Preferred Qualifications :

- AWS Certified Data Analytics - Specialty or AWS Certified Solutions Architect.

- Experience with data visualization tools like Tableau or Power BI.

- Knowledge of data governance and data security best practices.

Benefits :

- Competitive salary and performance bonuses.

- Health, dental, and vision insurance.

- Retirement savings plan with company match.

- Opportunities for professional development and career growth.

- Flexible work hours and remote work options.