About Position:

Experienced AWS Architect with expertise in building scalable data pipelines, processing large datasets, and developing cloud-based data solutions using Databricks, PySpark, Python, SQL, and AWS technologies. Skilled in ETL/ELT development, data transformation, performance optimization, and cloud data architecture. Relevant enterprise profiles and resumes show experience in Databricks-based data processing, PySpark transformations, SQL development, and AWS cloud services.
- Role: AWS Architect
- Location: All Persistent Location
- Experience: 12+ years
- Job Type: Full-Time Employment

What You'll Do:
- Design, develop, and maintain scalable ETL/ELT data pipelines.
- Process and transform large volumes of structured and unstructured data using PySpark and Databricks.
- Develop efficient data solutions using Python and SQL.
- Build and manage cloud-native data platforms on AWS (S3, EC2, Lambda, etc.).
- Optimize data workflows, Spark jobs, and database performance.




- Collaborate with business stakeholders to understand requirements and deliver analytics-ready datasets.
- Implement data quality, governance, monitoring, and performance best practices.
- Support data warehousing, reporting, and advanced analytics initiatives.

Expertise You'll Bring:
- Strong hands-on experience with Databricks for data engineering and large-scale data processing.
- Advanced proficiency in PySpark for distributed data transformation and analytics.
- Solid programming skills in Python for automation, data pipelines, and backend processing.
- Expertise in SQL for data modeling, query optimization, and reporting.
- Experience with AWS services such as S3, EC2, Lambda, and cloud-based data architectures.
- Knowledge of Spark optimization, Delta Lake, ETL frameworks, and data lake concepts.
- Ability to build reliable, high-performance, and scalable data platforms.
- Robust problem-solving skills with a focus on performance, reliability, and business outcomes.

Benefits:
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📌 AWS Architect (Pune)
🏢 Persistent Systems
📍 Pune