Big Data Developer

Job profiles

Experience

Location

Lead Big Data Developer

Key Responsibilities

• Technical Leadership:

• Lead the design, development, and deployment of big data solutions using Java, Apache Spark, and modern orchestration tools.
• Architect and optimize data workflows, ensuring modularity, scalability, and maintainability across multiple domains and business units.
• Guide the adoption and integration of low-code transformation platforms (e.g., DBT) and ensure best practices in SQL-based transformation logic.
• Should be able to debug and fine tune workload , processing billions of records

• Solution Delivery & Collaboration:

• Oversee the development and management of APIs for data ingestion, transformation, and consumption, ensuring seamless integration with upstream and downstream systems.
• Collaborate with product managers, data scientists, analysts, and platform teams to translate business requirements into technical deliverables.
• Drive the implementation of metadata-first strategies, ensuring comprehensive cataloging, lineage, and data quality across the platform.

• Quality, Observability & Governance:

• Implement and enforce data engineering standards for quality, integrity, and security.
• Leverage observability suites for active and passive data validations, anomaly detection, and performance monitoring.
• Ensure robust governance by supporting RBAC/ABAC controls and compliance requirements.

• Mentorship & Team Development:

• Mentor and coach a team of big data engineers, fostering a culture of innovation, continuous improvement, and technical excellence.
• Conduct code reviews, knowledge sharing sessions, and technical upskilling initiatives.

• Continuous Improvement:

• Stay abreast of emerging trends in big data, cloud-native technologies, MLOps, and GenAI integration.
• Drive proof-of-concept (POC) initiatives and evaluate new tools and frameworks for adoption.

Required Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Information Technology, or related field.
• 8+ years of experience in big data engineering, with at least 2 years in a technical leadership or lead developer role.
• Advanced proficiency in Java, Apache Spark, and distributed data processing frameworks.
• Hands-on experience with data transformation tools such as DBT, and orchestration platforms (Airflow, Nifi, etc.).
• Strong expertise in API development, integration, and performance tuning.
• Deep understanding of data engineering principles, data mesh concepts, and multi-domain data architectures.
• Proficiency with Hadoop ecosystem tools (HDFS, Hive, HBase, Kafka, etc.).
• Experience with SQL and NoSQL databases.
• Strong problem-solving, analytical, and communication skills.

Preferred Qualifications

• Experience with cloud platforms (AWS, Azure, GCP), Spark/Delta Lake, and modern data lake architectures.
• Knowledge of containerization (Docker, Kubernetes) and CI/CD pipelines.
• Familiarity with MLOps, GenAI integration, and machine learning frameworks.
• Experience in implementing metadata management, data lineage, and observability solutions.
• Exposure to federated governance, RBAC/ABAC, and security best practices.

Benefits

• Competitive salary and comprehensive benefits package.
• Opportunity to lead and shape the next-generation data engineering platform in a highly collaborative environment.
• Access to cutting-edge technologies and continuous professional development.
• Work with a diverse, talented team on impactful, large-scale data initiatives.

If you are passionate about leading technical teams, architecting scalable data solutions, and driving innovation in a fast-paced environment, we invite you to join us as our Lead Big Data Developer.