Technical Lead- Data Engineering

You will be joining Sigmoid as a Technical Lead Data Engineering, where your primary responsibility will be to build a scalable and extensible big data platform for collecting, storing, modeling, and analyzing massive data sets from various channels. You will report to the Engineering Manager. **Responsibilities:** - Align Sigmoid with key Client initiatives - Interface daily with customers from leading Fortune 500 companies to understand strategic requirements - Engage with VP and Director level clients regularly - Travel to client locations - Understand business requirements and translate them into technology solutions - Design, develop, and evolve highly scalable and fault-tolerant distributed components using Big data technologies - Experience in Application development, support, integration development, and data management - Provide technical leadership and manage it on a day-to-day basis - Guide developers in design and coding tasks - Key role in hiring technical talents for Sigmoid's future - Stay updated on the latest technology trends for maximizing ROI - Hands-on coding with a good understanding of enterprise-level code - Design and implement APIs, abstractions, and integration patterns to solve distributed computing problems - Define technical requirements, data extraction, transformation, automate jobs, productionize jobs, and explore new big data technologies in a Parallel Processing environment **Qualifications:** - 9+ years of relevant work experience in computer science or a related technical discipline - Experience in architecture and delivery of Enterprise scale applications, developing frameworks, design patterns, etc. - Proven track record of building and shipping large-scale engineering products, knowledge of cloud infrastructure such as Azure/GCP preferred - Experience with large, complex data sets from various sources - Experience with Hadoop, Spark, or similar stack is a must - Experience with functional and object-oriented programming, Python, or Scala is a must - Effective communication skills (both written and verbal) - Ability to collaborate with a diverse set of engineers, data scientists, and product managers - Technical knowledge in Spark, Hadoop & GCS Stack - Comfortable working in a fast-paced start-up environment **Preferred Qualifications:** - Experience in agile methodology - Development and support experience in the Big Data domain - Architecting, developing, implementing, and maintaining Big Data solutions - Experience with database modeling and development, data mining, and warehousing - Experience with Hadoop ecosystem (HDFS, MapReduce, Oozie, Hive, Impala, Spark, Kerberos, KAFKA, etc) You will be joining Sigmoid as a Technical Lead Data Engineering, where your primary responsibility will be to build a scalable and extensible big data platform for collecting, storing, modeling, and analyzing massive data sets from various channels. You will report to the Engineering Manager. **Responsibilities:** - Align Sigmoid with key Client initiatives - Interface daily with customers from leading Fortune 500 companies to understand strategic requirements - Engage with VP and Director level clients regularly - Travel to client locations - Understand business requirements and translate them into technology solutions - Design, develop, and evolve highly scalable and fault-tolerant distributed components using Big data technologies - Experience in Application development, support, integration development, and data management - Provide technical leadership and manage it on a day-to-day basis - Guide developers in design and coding tasks - Key role in hiring technical talents for Sigmoid's future - Stay updated on the latest technology trends for maximizing ROI - Hands-on coding with a good understanding of enterprise-level code - Design and implement APIs, abstractions, and integration patterns to solve distributed computing problems - Define technical requirements, data extraction, transformation, automate jobs, productionize jobs, and explore new big data technologies in a Parallel Processing environment **Qualifications:** - 9+ years of relevant work experience in computer science or a related technical discipline - Experience in architecture and delivery of Enterprise scale applications, developing frameworks, design patterns, etc. - Proven track record of building and shipping large-scale engineering products, knowledge of cloud infrastructure such as Azure/GCP preferred - Experience with large, complex data sets from various sources - Experience with Hadoop, Spark, or similar stack is a must - Experience with functional and object-oriented programming, Python, or Scala is a must - Effective communication skills (both written and verbal) - Ability to collaborate with a diverse set of engineers, data scientists, and product managers - Technical knowledge in Spark, Hadoop & GCS Stack - Comfortable working in a fast-paced start-up environment **Preferred Qualifications:** - Ex