Job ID: JOB_ID_5437
Job Summary:
Droisys is seeking a skilled Sr. AWS Data Engineer to design, develop, and maintain scalable data pipelines and data platforms on AWS. This role is crucial for building reliable ETL/ELT pipelines, ensuring data quality and security, and enabling advanced analytics and data science use cases through well-architected data lakes and warehouses. The ideal candidate will have a strong background in AWS services, data modeling, and programming languages like Python and PySpark.
About Droisys:
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. We foster environments where everyone feels a true sense of belonging and invest in our talent to support career growth. Join us to challenge yourself and accomplish work that matters.
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.
Company Culture & Benefits:
Droisys is an equal opportunity employer committed to diversity, inclusion, and belonging. We support career growth and foster a diverse work environment.
Special Requirements
Interview Mode: Video and Face to face
Compensation & Location
Salary: $65 – $85 per year (Estimated)
Location: Atlanta, GA
Recruiter / Company – Contact Information
Recruiter / Employer: Droisys
Email: requirementdroisys@gmail.com
Recruiter Notice:
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