Senior Software Engineer - Data Analytics

About the position

We are looking for a highly motivated Senior Software Engineer - Data Analytics with experience to join our fast-paced engineering team. The ideal candidate takes full ownership of their work, thrives in cross-functional collaboration, and is passionate about building scalable, fault-tolerant big data systems. In this role, you will design and develop high-performance data platforms, mentor junior engineers, and contribute to delivering impactful analytics solutions that drive strategic business decisions.

Responsibilities

• Design, build, and optimize scalable and fault-tolerant Big Data pipelines for batch and streaming workloads.
• Develop real-time streaming applications using Apache Spark Streaming or Flink.
• Work with Snowflake, Hadoop, Kafka, and Spark for large-scale data processing and analytics.
• Implement workflow orchestration using tools like Apache Airflow, Oozie, or Luigi.
• Develop backend services and REST APIs to serve analytics and data products.
• Collaborate with product managers, stack holders, and cross-functional teams to deliver data-driven solutions.
• Ensure data quality, governance, and security across the data ecosystem.
• Guide and mentor junior engineers, providing technical leadership and best practice recommendations.
• Perform code reviews, performance tuning, and troubleshoot distributed system issues.
• Drive innovation by evaluating and implementing new tools, frameworks, and approaches for data engineering.

Requirements

• 4-7 years of experience in Big Data & Analytics engineering.
• Strong programming skills in Java, Scala, or Python.
• Hands-on experience with Apache Spark, Hadoop, Kafka, and distributed data systems.
• Proficiency in SQL and experience with Snowflake (preferred) or other cloud data warehouses.
• Practical experience with workflow orchestration tools such as Airflow, Oozie, or Luigi.
• Strong foundation in data structures, algorithms, and distributed system design.
• Familiarity with cloud platforms (AWS, GCP, Azure) and related data services.
• Experience with containerization and orchestration (Docker, Kubernetes).
• Exposure to data observability, monitoring tools, and AI/ML integration with data pipelines.
• Experience in mentoring and guiding team members.
• Proven track record of working on cross-team collaboration projects.
• Strong problem-solving skills with the ability to take ownership and deliver end-to-end solutions.

Benefits

• Paternity/maternity leave
• Healthcare insurance
• Broadband reimbursement
• Kitchen loaded with healthy snacks and drinks
• Catered lunches