About the Role :

We are on an exciting journey to scale our advanced analytics and data engineering capabilities.

We are seeking a Lead Data Lake Developer with strong expertise in architecting and building enterprise-grade data lake solutions on AWS.

This is a leadership role where you will own the design, development, and governance of robust, scalable, and cost-effective data platforms to support a range of analytics and business intelligence initiatives.

Key Responsibilities :

- Lead the design and implementation of modern Data Lake architectures using AWS and related technologies.

- Architect and build scalable data ingestion pipelines integrating data from diverse sources using ETL/ELT tools.

- Develop and maintain Delta Lake solutions on AWS S3 using Databricks, Apache Hudi, or similar technologies.

- Design, build, and manage enterprise data warehouses and analytical data models (Star, Snowflake, Flattened).

- Define and implement data access patterns supporting both OLTP and OLAP use cases.

- Provide technical leadership across the software development lifecyclefrom requirements through deployment.

- Own code versioning, CI/CD pipelines, and DevOps practices for the data engineering stack.

- Collaborate with cross-functional teams including business analysts, data scientists, and solution architects.

- Ensure reliability, performance, security, and cost-efficiency of the data platform.

Required Skills & Qualifications :

- 10+ years of experience in Data Engineering with at least 5+ years in cloud-native Data Lake implementations.

- Proven hands-on expertise in AWS services including S3, Glue, Lake Formation, EMR, Kinesis, RDS, DMS, and Redshift.

- Strong experience building Delta Lakes using Databricks or Apache Hudi.

- Proficiency in distributed computing frameworks such as Apache Spark.

- Deep understanding of ETL/ELT tools and techniques.

- Proficient in at least one modern programming language (Python, Scala, Java, or R).

- Expertise in designing and implementing data models and scalable data warehouses (Snowflake, Redshift, HANA, Teradata, etc.

- Hands-on experience in DevOps practices including version control (Git), CI/CD pipelines, and infrastructure as code.

- Experience in leading Agile/Scrum-based projects and mentoring junior engineers.

- Bachelor's degree in Computer Science, Information Technology, Data Science, or related field.

Preferred Qualifications :

- AWS Certification (e. , AWS Certified Data Analytics Specialty, AWS Certified Solutions Architect).

- Experience with real-time data processing frameworks and streaming data solutions.

- Exposure to data governance and metadata management tools