Role : Python Developer - AWS Data Engineering

Experience: 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