Data Engineering Tech Lead - Hadoop Cleveland, OH

Data Engineering Tech Lead - Hadoop job at Cloud Analytics Technologies LLC. Cleveland, OH. Key Roles & Responsibilities

• Lead and oversee the end-to-end design, implementation, and optimization of data pipelines supporting key customer onboarding, transaction, and decisioning workflows.
• Architect and implement data ingestion, transformation, and storage frameworks leveraging Hadoop ,
  Avro , and distributed data processing technologies.
• Partner with product, analytics, and technology teams to translate business requirements into scalable data engineering solutions that enhance real-time data accessibility and reliability.
• Provide technical leadership and mentorship to a team of data engineers, ensuring adherence to coding, performance, and data quality standards.
• Design and implement robust data frameworks to support next-generation customer and business product launches.
• Develop best practices for data governance ,
  security , and compliance aligned with enterprise and regulatory requirements.
• Drive optimization of existing data pipelines and workflows for improved efficiency, scalability, and maintainability.
• Collaborate closely with analytics and risk modeling teams to ensure data readiness for predictive insights and strategic decision-making.
• Evaluate and integrate emerging data technologies to future-proof the data platform and enhance performance.

• 8–10 years of experience in data engineering , with at least2–3 years in a technical leadership role .
• Strong expertise in the Hadoop ecosystem (HDFS, Hive, Map Reduce, HBase, Pig, etc.).
• Experience working with Avro ,
  Parquet , or other serialization formats.
• Proven ability to design and maintain ETL / ELT pipelines using tools such as Spark ,
  Flink ,
  Airflow , or Ni Fi .
• Proficiency in Python ,
  Scala for large-scale data processing.
• Strong understanding of data modeling ,
  data warehousing , and data lake architectures.
• Hands-on experience with SQL and both relational and No
  
  SQL data stores.
• Cloud data platform experience with AWS .
• Deep understanding of data security ,
  compliance , and governance frameworks .
• Excellent problem-solving, communication, and leadership skills.