We are seeking an experienced Cloud Data Engineer Lead Specialist to design, develop, and optimize secure, scalable cloud-based data solutions. This role involves leading data engineering initiatives, building modern data platforms, and implementing advanced data pipelines across cloud environments. The ideal candidate will have extensive hands-on expertise in cloud data ecosystems, large-scale data processing, and enterprise integration, along with a strong technical leadership background.
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Lead the architecture, design, and implementation of cloud-based data platforms and data pipelines.
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Develop and maintain large-scale ETL/ELT processes that support business analytics and reporting.
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Build and optimize data ingestion, transformation, and storage frameworks for structured and unstructured data.
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Ensure data quality, governance, security, and compliance across cloud and hybrid data environments.
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Evaluate new cloud technologies, tools, and methodologies to improve data engineering capabilities.
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Lead a team of data engineers, provide mentoring, and oversee delivery execution.
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Collaborate with stakeholders including data architects, analysts, DevOps, and business users.
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Improve data processing performance and reliability through monitoring, automation, and best practices.
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Troubleshoot and resolve complex data pipeline or infrastructure issues in production environments.
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Participate in architecture reviews, design sessions, and solution planning meetings.
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12+ years of professional experience in data engineering and large-scale enterprise data solutions.
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Strong hands-on experience with at least one major cloud platform (AWS, Azure, or Google Cloud).
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Expertise in cloud-native data services such as AWS Glue, Lambda, S3, EMR, Redshift, Lake Formation, Azure Synapse, Data Factory, Databricks, or BigQuery.
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Advanced knowledge of SQL, Python, Spark, PySpark, and distributed data frameworks.
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Proven background in building ELT/ETL systems and high-performance batch and streaming pipelines.
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Experience with data warehousing and data lake design concepts.
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Strong understanding of CI/CD practices, DevOps, and infrastructure-as-code tools (Terraform, CloudFormation, etc.).
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Knowledge of data security, access control, and governance standards.
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Excellent communication, leadership, and problem-solving skills.
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Experience working in Agile development environments.