aws data engineer

AWS Data Engineer

Job Summary:

We are seeking a skilled AWS Data Engineer to join our dynamic team, where you will play a pivotal role in designing and implementing scalable data pipelines on AWS. Your expertise will empower our organization to harness large datasets effectively, driving informed decision-making and fostering innovation.

Key Responsibilities:

• Design and develop efficient, secure, and scalable data pipelines using AWS services that meet the organization's data requirements.
• Implement ETL processes leveraging Python and Snowflake to streamline data processing and storage solutions.
• Collaborate with cross-functional teams to understand data needs and provide effective data solutions and insights.
• Utilize Jenkins for continuous integration and delivery of data infrastructure changes to ensure smooth and efficient deployment.
• Write complex SQL queries to extract, transform, and analyze data from various sources for reporting and analysis purposes.
• Monitor, troubleshoot, and optimize data processing workflows to enhance performance and reliability of data pipelines.
• Maintain documentation of data processes, workflows, and architectural designs to support ongoing projects and knowledge transfer.

Requirements:

• Bachelor’s degree in Computer Science, Information Technology, or a related field.
• 6-8years of hands-on experience in data engineering, with a strong focus on AWS data services.
• Proficiency in Python and SQL, with a solid understanding of data manipulation and analysis.
• Experience with Snowflake and its integration with AWS data services.
• Familiarity with DevOps practices and tools, specifically Jenkins.
• Strong analytical and problem-solving skills, with a keen attention to detail.
• Excellent communication and interpersonal skills to work effectively in a hybrid team environment in Gurugram and Bangalore.

Preferred Qualifications:

• Experience with AWS data lake architecture and design.
• Knowledge of additional AWS services such as Redshift, S3, Lambda, and Glue.
• Familiarity with Big Data technologies like Apache Spark or Kafka.
• Certification in AWS Data Analytics or Data Engineering is a plus.
• Experience in agile methodologies and working in fast-paced environments.

Benefits:

• Competitive salary and performance-based bonuses.
• Comprehensive health and wellness benefits package.
• Flexible working hours with a hybrid work model.
• Opportunities for professional development and continued education.
• Dynamic and inclusive company culture that values innovation and collaboration.
• Access to cutting-edge technologies and tools in data engineering.
• Generous vacation and paid time off policies to ensure work-life balance.