Senior Software Engineer

Experience: 5-7 Years
Location:Chennai
Job Overview
As a PySpark Data Engineer, you will be responsible for designing, developing, and supporting scalable, reliable, and high-performance data solutions. You will work closely with business and technology teams to build robust data pipelines, develop analytical data models, and deliver data-driven solutions that support strategic business objectives.
Key Responsibilities
Design, develop, and maintain scalable, extensible, and highly available data solutions.
Build and optimize large-scale data processing applications using PySpark and SQL.
Deliver critical business requirements while ensuring alignment with enterprise architecture and data strategy.
Design and develop analytical data models to support reporting, analytics, and business intelligence initiatives.
Develop, automate, test, and deploy high-performance data pipelines.
Analyze, transform, and manipulate large datasets using PySpark and SQL.
Identify and mitigate potential risks across the data supply chain.
Collaborate with business stakeholders, architects, and engineering teams to deliver scalable data solutions.
Troubleshoot and resolve complex data, performance, and application-related issues.
Mentor team members and contribute to technical best practices and engineering standards.
Required Skills & Experience
5-7 years of experience in Data Engineering.
Strong hands-on experience with PySpark and Spark for large-scale data processing.
Advanced proficiency in SQL for data querying, transformation, optimization, and analysis.
Strong understanding of relational databases and data warehousing concepts.
Experience in designing and implementing analytical and dimensional data models.
Hands-on experience in building, automating, and monitoring ETL/ELT processes and data pipelines.
Experience working with cloud platforms such as AWS, Azure, or GCP.
Strong understanding of cloud-native technologies and modern data engineering patterns.
Excellent analytical, troubleshooting, and problem-solving skills.
Strong communication skills with the ability to collaborate effectively across teams.
AI & Innovation Focus
Leverage AI-powered tools such as GitHub Copilot to enhance development productivity and accelerate delivery.
Stay informed about emerging AI technologies and recommend innovative approaches to improve products and solutions.
Utilize AI-assisted engineering practices to improve software quality and operational efficiency.
Preferred Qualifications
Experience with big data ecosystems and distributed data processing frameworks.
Strong ownership mindset with the ability to independently drive project deliverables.
Exposure to Agile development methodologies.
Passion for continuous learning and adopting new technologies.

Work arrangement
No