Lead Data Engineer - Big Data Analytics Platform

Role Overview :

We are looking for a Lead Data Engineer with strong experience in building scalable data** platforms and driving data engineering initiatives. In this role, you will work closely with stakeholders to design, develop, and optimize data pipelines and analytics platforms.

You will play a key role in building robust data infrastructure, ensuring data quality, and enabling data-driven decision-making across the organization. This role requires both strong technical expertise and leadership capabilities to guide teams and drive execution.

Key Responsibilities :

• Design and develop scalable data engineering platforms and pipelines.

• Build and manage robust ETL pipelines and data workflows.

• Implement data modelling solutions, including data marts and warehousing.

• Develop and optimize big data processing systems using modern tools and frameworks.

• Build and manage data lakes and analytics platforms on AWS Cloud.

• Ensure data quality, security, and governance across systems.

• Work with APIs to create, read, transform, and store data in structured formats.

• Collaborate with cross-functional teams to drive data initiatives and business outcomes.

• Contribute to product vision and help drive the data engineering roadmap.

Requirements :

• 6- 9 years of experience in developing platforms in Data Engineering.

• Hands-on experience with SQL, ETL pipelines, and data modelling/marts.

• Strong technical expertise in tools/languages such as SQL, Scala, Python, R, Java, Snowflake, Spark, Apache Airflow, Redash, Tableau, etc.

• Solid understanding of data engineering best practices : data integration, data security, data warehousing, data analytics, metadata management, and data quality.

• Experience in implementing big data analytics platforms and data lakes using AWS Cloud services.

• Adept at articulating product vision and driving the future roadmap with strong business acumen.

• Knowledge of cloud technologies (AWS), CI/CD, Jenkins, and testing methodologies is preferred.

• Strong leadership skills, including hiring, mentoring, and retaining data engineering talent.

• Excellent written and verbal communication skills.

• Experience with Scrum or Agile development methodologies.