Python Developer - AWS Data Engineering

Role : Python Developer - AWS Data EngineeringExperience: 6 to 8 Years

Location: Hyderabad | Gurgaon | Bangalore

Role Overview:

We are looking for an experienced Python Developer with a strong background in cloud data engineering to join our growing team. The ideal candidate will have hands-on expertise in building scalable ETL/ELT data pipelines, working with AWS-based data platforms, and developing robust data integration solutions. This role offers the opportunity to work on enterprise-scale data transformation initiatives while collaborating with cross-functional teams in a dynamic Agile environment.

Key Responsibilities:

• Design, develop, and maintain scalable ETL/ELT pipelines to support enterprise data integration and analytics.

• Build and optimize batch and scheduled data processing workflows using cloud-native technologies.

• Develop high-quality, maintainable Python and SQL code for data ingestion, transformation, and validation.

• Work extensively with AWS services, including Athena, along with Snowflake to deliver modern cloud data solutions.

• Integrate data from CRM platforms such as Salesforce, ensuring reliable inbound and outbound data flows.

• Collaborate with business and technical teams to understand data requirements and deliver efficient solutions.

• Support Master Data Management (MDM) initiatives and contribute to data quality and governance practices.

• Troubleshoot production issues, optimize pipeline performance, and ensure reliable data delivery.

• Participate in code reviews, documentation, and continuous improvement initiatives.

Required Skills:

• 6 to 8 years of experience in Python development and Data Engineering.

• Strong hands-on experience designing and developing ETL/ELT pipelines.

• Proficiency in Python and advanced SQL programming.

• Experience with AWS cloud services, particularly Athena.

• Hands-on experience working with Snowflake as a cloud data warehouse.

• Understanding of batch processing, scheduled workflows, and data integration best practices.

• Familiarity with Salesforce data models and CRM integration patterns.

• Exposure to Master Data Management (MDM) concepts; experience with Profisee or similar MDM platforms is an added advantage.

Preferred Skills:

• Experience with cloud-native data architecture and modern data lake/lakehouse solutions.

• Knowledge of data quality, governance, and metadata management practices.

• Familiarity with CI/CD pipelines and DevOps practices for data engineering.

• Exposure to Agile/Scrum delivery methodologies.

Desired Competencies:

• Ability to work independently while delivering high-quality solutions within established technical designs.

• Strong analytical and problem-solving skills with a focus on timely delivery.

• Comfortable managing multiple workstreams and coordinating dependencies across teams.

• Effective communication skills with experience collaborating with globally distributed and offshore/onshore teams.

• Proactive mindset with a commitment to continuous learning and process improvement.

Technical Skills:

• Python

• AWS Cloud

• AWS Athena

• Snowflake

• SQL

• ETL/ELT Development

• Data Engineering

• Salesforce Integration

• Master Data Management (MDM)

• Profisee (Preferred)

• Batch Processing

• Cloud Data Platforms