Senior Data Engineer (Python)

Job Description

Job Title: Senior Data Engineer (Python) Experience Required: 58 Years Location: Pune (Hybrid) Notice Period: Immediate Joiners Only About the Role We are looking for a Senior Data Engineer (Python) to join our dynamic engineering team . The ideal candidate will have hands-on experience in building high-volume, scalable, and distributed data-oriented systems, ideally within transactional or AdTech environments. If you have a strong foundation in modern data platforms, programming, cloud infrastructure, and software engineering best practices \u2014 we want to hear from you! Key Responsibilities Collaborate with tech leads, product managers, designers, and data scientists to design and build robust data solutions. Develop and maintain scalable, secure, and reliable data architectures and services. Build new features and enhance existing products to meet key performance indicators (KPIs). Apply modern development practices including TDD/BDD/ATDD, CI/CD, and Trunk-Based Development. Use DevSecOps and Site Reliability Engineering (SRE) principles to ensure operational excellence. Mentor junior engineers and contribute to team knowledge-sharing and continuous improvement. Stay up-to-date with AdTech trends and leverage domain knowledge to shape product and technical strategies. Technical Skills & Requirements Core Expertise Proven experience in data-driven system design and building high-volume, transactional platforms. Strong skills in problem-solving and designing scalable, concurrent, and distributed systems. Programming & Tools Languages: Python, JavaScript/TypeScript, Node.js Workflow Orchestration: Apache Airflow, Google Cloud Composer Data Platforms: Kafka, Snowflake, BigQuery, Spark, Hadoop, AWS Athena, PostgreSQL, Redis Cloud: AWS and Google Cloud Platform (GCP) Containers: Docker and Kubernetes (preferred) SQL: Strong query writing, optimization, and data pipeline development skills Additional Skills Experience with data structures and algorithms; exposure to ML/AI is a plus. Familiarity with SaaS product development and operations is highly desirable. Comfortable working with modern engineering practices like XP, DevSecOps, and Agile methodologies. Soft Skills Strong verbal and written communication in English. Excellent documentation and influencing skills. Resilient, adaptable, and able to work in ambiguous environments. Passionate about continuous learning and professional development.