Location: Pune(Hybrid)
Timings: Full Time (As per company timings)
Notice Period: (Immediate Joiner - Only)
Experience: 5-8 Years
Technical Skills & Requirements:
- Data-Oriented Solutions:
Proven experience in designing, building, and operating data-oriented solutions in high-volume, transactional, global industries. Experience with AdTech is highly desirable.
- System Design & Problem Solving:
Experience developing simple, scalable, and reliable architectures, operating concurrent and distributed systems, and solving complex or novel problems.
- Programming & Tools Expertise:
Strong proficiency in:
- Languages: Python, JavaScript/TypeScript, Node.js
- Frameworks/Tools: Airflow/Composer
- Data Platforms: Kafka, Snowflake, BigQuery, Spark, Hadoop, AWS Athena, PostgreSQL, Redis
- Cloud Platforms: AWS and GCP
- Containerization: Docker and Kubernetes (preferred)
- SQL: Excellent development, query optimization, and data pipeline skills
- Algorithms & ML/AI:
Proven experience with data structures and algorithms. Exposure to ML/AI solutions is highly desirable.
- Software Development Practices:
Experience with modern development and testing practices, including:
- TDD, BDD, or ATDD
- Agile methodologies
- DevSecOps and Site Reliability Engineering (SRE)
- Continuous Integration / Continuous Delivery (CI/CD)
- Trunk-Based Development
- XP practices
- SaaS Product Development:
Experience in SaaS product engineering and operations is a strong plus.
- Soft Skills & Communication:
- Strong written and spoken English
- Excellent communication, influencing, and documentation skills
- Resilience and the ability to thrive in ambiguous situations
- Passion for continuous learning and professional development
Roles & Responsibilities:
- Work as a member of an engineering team, collaborating with tech leads, product managers, designers, and data scientists.
- Design, build, and maintain simple, scalable, reliable, and secure solutions.
- Develop and deliver new features, maintain existing products, and help drive growth to achieve team KPIs.
- Use and advocate for modern engineering practices: TDD/BDD/ATDD, XP, QA Engineering, Trunk-Based Development, DevSecOps, CI/CD, and SRE.
- Contribute to the continuous improvement of engineering principles, tools, and practices.
- Mentor and support junior engineers, fostering a culture of continuous learning.
- Stay informed on AdTech industry trends, standards, competitor platforms, and commercial models.
- Combine technical expertise with market insights to influence strategy, product design, and roadmap planning.