
Data Engineering Leader
1 day ago
Sigmoid empowers enterprises to make informed, data-driven decisions by combining cutting-edge data engineering with strategic AI consulting.
We collaborate with leading organizations across various sectors to address complex business challenges.
The ideal candidate will have a strong technical background, excellent communication skills, and the ability to think strategically. They will be responsible for aligning key client initiatives, interfacing daily with customers, and traveling to client locations.
This role requires experience in designing, developing, and evolving highly scalable and fault-tolerant distributed components using Big Data technologies. The candidate should have expertise in Application development and support, integration development, and data management.
They will also provide technical leadership and manage day-to-day tasks, guiding developers in design and coding tasks, and playing a key role in hiring technical talents to build the future of Sigmoid.
Key Responsibilities- Align with key Client initiatives
- Interface daily with customers to understand strategic requirements
- Connect with VP and Director level clients on a regular basis.
- Travel to client locations
- Ability to understand business requirements and tie them to technology solutions
- Design, develop and evolve highly scalable and fault-tolerant distributed components using Big data technologies.
- Excellent experience in Application development and support, integration development and data management.
- Provide technical leadership and manage it day to day basis
- Guiding developers in day to day design and coding tasks
- Play a key role in hiring technical talents to build the future of Sigmoid.
- Stay up-to-date on the latest technology to ensure the greatest ROI for customers & Sigmoid
- Hands on coder with good understanding on enterprise level code
- Design and implement APIs, abstractions and integration patterns to solve challenging distributed computing problems
- Experience in defining technical requirements, data extraction, data transformation, automating jobs, productionizing jobs, and exploring new big data technologies within a Parallel Processing environment
- 9+ years of track record of relevant work experience and a computer Science or a related technical discipline is required
- Experience in architecture and delivery of Enterprise scale applications and capable in developing framework, design patterns etc. Should be able to understand and tackle technical challenges, propose comprehensive solutions and guide junior staff
- Proven track record of building and shipping large-scale engineering products and/or knowledge of cloud infrastructure such as Azure/GCP/AWS preferred
- Experience working with large, complex data sets from a variety of sources
- Experience with Hadoop, Spark, or similar stack a must
- Experience with functional and object-oriented programming, Python or Pyspark 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.
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