Senior AWS Data Engineer

Responsibilities:

• Lead the design, development, and deployment of data solutions on the AWS cloud platform, including data ingestion, processing, storage, and analytics.
• Architect and implement scalable and reliable data pipelines using AWS services such as Amazon S3, Glue, EMR, Redshift, Athena, and Lambda.
• Design and build data lake architectures to consolidate and organize structured and unstructured data from diverse sources for analytics and reporting purposes.
• Collaborate with cross-functional teams, including data scientists, business analysts, and software developers, to understand data requirements and deliver high-quality solutions.
• Optimize data infrastructure and performance by implementing best practices for data modeling, indexing, partitioning, and optimization techniques.
• Implement data security and governance measures to ensure compliance with regulatory requirements and industry standards.
• Monitor and troubleshoot data pipelines and infrastructure to identify and resolve issues in a timely manner.
• Develop and maintain documentation, standards, and best practices for data engineering processes and methodologies.
• Stay updated on emerging trends and technologies in data engineering, cloud computing, and AWS services to drive continuous improvement and innovation.
• Mentor and coach junior team members, providing guidance and support in developing their skills and expertise in AWS data engineering.

Requirements:

• Bachelor's degree in Computer Science, Engineering, or a related field. Master's degree is a plus.
• Minimum of 5 years of experience in data engineering, with at least 3 years of hands-on experience in designing and implementing data solutions on the AWS cloud platform.
• Strong proficiency in AWS cloud services, particularly in data-related services such as S3, Glue, EMR, Redshift, Athena, and Lambda.
• Expertise in data modeling, ETL processes, data integration, and data warehousing concepts and methodologies.
• Proficiency in programming languages such as Python, Scala, or Java for data processing and scripting tasks.
• Experience with big data technologies such as Hadoop, Spark, or Kafka is desirable.
• Solid understanding of data security, privacy, and compliance requirements in cloud environments.
• Excellent analytical, problem-solving, and communication skills with the ability to work effectively in a fast-paced, collaborative environment.
• AWS certifications such as AWS Certified Big Data - Specialty or AWS Certified Solutions Architect - Associate are a plus.
• Strong leadership and mentoring skills with the ability to coach and develop junior team members.

Job Type: Full-time