Data Lake Developer

We are seeking a highly skilled Lead Data Lake Developer to design, develop, and manage our enterprise data lake infrastructure. In this role, you will be responsible for leading the architecture, development, and optimization of scalable, high-performance data lake solutions that support analytics, data science, and business intelligence needs across the organization. Must Have: • Must have Lead experience • Data Lake • Snowflake or equivalent tool • SQL • AWS • DataStage Key Responsibilities: • Lead the design and implementation of enterprise-scale Data Lake solutions using cloud-native technologies (e.g., AWS S3, Azure Data Lake, GCP Storage). • Ingest, process, and manage large volumes of structured and unstructured data from diverse sources (e.g., RDBMS, APIs, IoT, logs). • Collaborate with data scientists, analysts, and business stakeholders to understand data needs and translate them into scalable data lake architectures. • Develop and manage ETL/ELT pipelines using tools like Apache Spark, AWS Glue, Databricks, or similar. • Ensure data quality, metadata management, lineage tracking, and governance using tools like AWS Lake Formation, Apache Atlas, or Data Catalogs. • Optimize performance of data processing jobs and storage layout (e.g., partitioning, file formats like Parquet/ORC). • Enforce data security, access controls, and compliance with data privacy regulations (GDPR, HIPAA, etc.). • Mentor junior engineers and enforce engineering best practices for code quality, testing, and CI/CD in data workflows.