Lead, Big Data Analytics & Engineering

Lead, Big Data Analytics & Engineering job description summary - Lead, Data Engineering role focuses on data engineering and data unification across diverse enterprise data assets, enabling a single, trusted, and scalable view of data from multiple internal and external sources.

Requirements

• Strong proficiency in Python, including Pandas, NumPy, PySpark, and experience with Impala.
• Hands on experience performing data extraction, analysis, and processing on Hadoop based platforms.
• Strong SQL skills and experience working with large scale relational and distributed data stores.
• Experience with enterprise data platforms and business intelligence ecosystems.
• Hands on experience with ETL / ELT and data integration tools such as Airflow, Apache NiFi, Azure Data Factory, Pentaho, or Talend.
• Experience with data modeling, querying, data mining, and reporting over large volumes of granular data.
• Exposure to machine learning concepts and analytical techniques used in advanced data solutions.
• 8+ years of experience in data engineering, big data analytics, or enterprise data platforms, with at least 2+ years in a technical leadership or lead role.
• Experience working with cloud-based data platforms (Azure, AWS, or GCP), including data lakes, distributed compute, and storage services.
• Experience implementing CI/CD pipelines and DevOps practices for data engineering workflows.

Benefits

• Retirement Plan
• Visa Sponsorship