Data Engineering Tech Lead – Hadoop

• 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 .
• 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.

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Nor will Cloud Hybrid require in a posting or otherwise U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment except as necessary to comply with law, regulation, executive order, or federal, state, or local government contract