We're looking for a Manager, Data Engineering with deep Big Data expertise to design, develop, and maintain scalable data pipelines and analytics solutions. In this role, you'll partner with cross-functional teams to ensure data quality, availability, and performance — while leading and mentoring a team of data engineers to drive data-driven decision-making across the organization.
Pay range :$80/hr on w2 to $90/hr on w2
Responsibilities:
Design and implement large-scale data processing systems using Big Data technologies such as Hadoop, Spark, Kafka, and Flink
Develop and optimize data pipelines, ensuring high performance, reliability, and scalability
Collaborate with data scientists, analysts, and business stakeholders to understand data requirements and deliver actionable insights
Implement best practices for data governance, security, and compliance
Automate data workflows and ETL processes to improve efficiency and reduce manual effort
Troubleshoot and resolve performance issues, ensuring smooth data operations
Stay updated on emerging Big Data technologies and recommend innovative solutions to enhance data capabilities
Lead and mentor a team of data engineers, fostering a culture of collaboration and continuous learning
Qualifications
Required:
8+ years of experience in data engineering, with a focus on Big Data technologies
Strong expertise in Hadoop, Spark, Kafka, Flink, and related frameworks
Proficiency in SQL, NoSQL databases, and data warehousing solutions
Experience with cloud-based data platforms such as AWS, GCP, or Azure
Strong programming skills in Python, Scala, or Java
Hands-on experience with data modeling, ETL processes, and real-time data processing
Knowledge of data governance, security, and compliance best practices
Proven ability to lead and manage data engineering teams in an Agile environment
Excellent problem-solving, communication, and stakeholder management skills
Preferred (Set Yourself Apart With):
Experience with machine learning pipelines and AI-driven data solutions
Certifications in Big Data technologies (e.g., Cloudera, Databricks, AWS Big Data)
Knowledge of DevOps practices for data engineering and CI/CD pipelines
Strong understanding of data architecture and distributed computing
Opportunity Awaits.
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