Data Lake Engineer(15+ Years of EXP) -- W2

Overview

Hybrid
Depends on Experience
Contract - W2
Contract - Independent
Contract - 24 Month(s)

Skills

Data Engineering
Apache Kafka
Apache Spark
Big Data
Cloud Computing
Collaboration
Access Control
Amazon Kinesis
Amazon Web Services
Apache Hadoop
HIPAA

Job Details

Key Responsibilities:

  • Lead the design, development, and maintenance of scalable and secure enterprise data lake solutions.

  • Architect data ingestion pipelines (batch and streaming) using modern frameworks and cloud-native services.

  • Collaborate with data architects, data scientists, and business stakeholders to define data models and integration strategies.

  • Implement data governance, lineage, metadata management, and cataloging best practices.

  • Ensure data quality, scalability, and high availability across distributed environments.

  • Optimize performance for ETL/ELT workflows and large-scale data processing.

  • Manage security, access controls, and compliance (GDPR, HIPAA, etc.).

  • Lead and mentor junior engineers, providing technical direction and best practices.

  • Stay current with emerging data lake technologies and cloud innovations.

Required Qualifications:

  • 15+ years of IT experience with focus on data engineering and data platforms.

  • 7+ years of hands-on experience building and managing data lake ecosystems (on AWS, Azure, or Google Cloud Platform).

  • Strong expertise in big data frameworks (Apache Spark, Hadoop, Hive, Presto, Iceberg, Delta Lake, Hudi, etc.).

  • Proficiency with ETL/ELT tools and orchestration frameworks (Airflow, Glue, Data Factory, Informatica, etc.).

  • Strong knowledge of streaming platforms (Kafka, Kinesis, Pub/Sub).

  • Solid understanding of data governance, security, and compliance frameworks.

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