Sr. AWS Data Engineer

About Company,

Droisys is an innovation technology company focused on helping companies accelerate their digital initiatives from strategy and planning through execution. We leverage deep technical expertise, Agile methodologies, and data-driven intelligence to modernize systems of engagement and simplify human/tech interaction.

Amazing things happen when we work in environments where everyone feels a true sense of belonging and when candidates have the requisite skills and opportunities to succeed. At Droisys, we invest in our talent and support career growth, and we are always on the lookout for amazing talent who can contribute to our growth by delivering top results for our clients. Join us to challenge yourself and accomplish work that matters.

Here's the job details,

Sr. AWS Data Engineer

Atlanta, GA-Onsite

Interview Mode:-Face to face

Rate Range $64 hr C2C All Inc

Job Description:

We are looking for a skilled AWS Data Engineer to design, develop, and maintain scalable data pipelines and data platforms on AWS. The role focuses on building reliable ETL/ELT pipelines, ensuring data quality and security, and enabling analytics and data science use cases through well-architected data lakes and warehouses.

Key Responsibilities

• Design, develop, and maintain batch and streaming ETL/ELT pipelines using AWS services such as AWS Glue, Lambda, Step Functions, and related services.
• Implement robust data ingestion frameworks from diverse data sources including APIs, databases, and streaming platforms.
• Ensure data quality, governance, and security across all data pipelines.
• Build, optimize, and manage data lakes and data warehouses leveraging Amazon S3, Redshift, Athena, and Lake Formation.
• Collaborate closely with data scientists, analysts, and business stakeholders to deliver reliable and high-quality datasets.
• Monitor, troubleshoot, and optimize data workflows to ensure high availability, scalability, and performance.
• Stay updated with emerging AWS technologies and recommend continuous improvements to data architecture and processes.

Required Skills & Qualifications

• Strong hands-on experience with AWS cloud services, including:
• S3, Glue, Redshift, EMR, Kinesis, Lambda, DynamoDB, RDS, Athena, SNS, SQS.
• Proficiency in SQL, Python, and PySpark.
• Solid understanding of data modeling, schema design, and performance tuning.
• Experience with CI/CD pipelines and DevOps practices, including tools such as Terraform and CloudFormation.
• Strong knowledge of AWS security best practices, including IAM, encryption, and compliance standards.
• Experience working with both batch and real-time data processing architectures

Droisys is an equal opportunity employer. We do not discriminate based on race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law. Droisys believes in diversity, inclusion, and belonging, and we are committed to fostering a diverse work environment.