Python Data Engineer (Blr/Chn/Hyd/Kochi/Kol/Pune)

We are looking for an experienced Python Data Engineer with strong expertise in Python, PySpark, SQL, ETL/ELT, and Cloud Data Platforms. The ideal candidate will design, build, and optimize scalable data pipelines, support modern data architectures, and deliver enterprise-grade data solutions across cloud environments.

The role requires strong hands-on data engineering experience, excellent problem-solving skills, and the ability to work closely with business and technology stakeholders in a customer-facing environment.

Key Responsibilities

• Design, develop, and optimize scalable data pipelines using Python and PySpark.
• Build ETL/ELT frameworks for ingesting, transforming, and processing large datasets.
• Develop data ingestion solutions from multiple structured and semi-structured data sources.
• Implement data transformation, cleansing, validation, and quality checks.
• Work with cloud-based data platforms to build modern data engineering solutions.
• Collaborate with technology, architecture, product, and design teams to deliver scalable data solutions.
• Design and maintain data models supporting analytics and reporting requirements.
• Optimize data pipeline performance, scalability, and reliability.
• Ensure data quality and governance standards are maintained.
• Support Data Warehousing and enterprise analytics initiatives.
• Participate in Agile ceremonies and contribute to continuous improvement initiatives.
• Work closely with customers and stakeholders to understand business requirements and translate them into technical solutions.

Required Skills

• Strong hands-on experience with Python for data processing and transformation.

• Expertise in PySpark and distributed data processing frameworks.

• Strong SQL skills, including:

• Complex joins

• Aggregations

• Query optimization

• Data transformation

• Experience building ETL/ELT pipelines and data ingestion frameworks.

• Hands-on experience with cloud platforms:

• Azure

• AWS

• GCP

• Strong understanding of:

• Data Warehousing

• Dimensional Modeling

• Data Modeling Concepts

• Experience handling structured and semi-structured data.

Preferred Skills

• Azure Data Factory (ADF).
• Databricks.
• Azure Synapse Analytics.
• Kafka.
• Azure Event Hubs.
• CI/CD implementation for Data Engineering workflows.
• Agile methodologies and JIRA.
• BFSI, Insurance, or Investment domain experience.
• LOMA certification or similar industry certifications.

Desired Candidate Profile

• Strong analytical and problem-solving skills.
• Excellent communication and stakeholder management abilities.
• Strong ownership mindset and accountability.
• Ability to work effectively in customer-facing environments.
• Experience working in Agile and cross-functional teams.
• Passion for building scalable and reliable data platforms.