Senior Data Engineer Position

4 days ago

Thoothukudi, Tamil Nadu, India beBeeTechnicalLead Full time ₹ 2,00,00,000 - ₹ 2,50,00,000

Job Title: Technical Lead - Data Engineering

 

Technical Lead Role Summary:

This role involves building and managing a large-scale big data platform that provides the foundation for collecting, storing, modeling, and analyzing massive data sets from multiple channels.

The ideal candidate will have experience in designing, developing, and implementing scalable and fault-tolerant distributed components using Big Data technologies such as Hadoop and Spark. Strong technical leadership skills are essential to manage the team effectively and ensure timely delivery of projects.

Key Responsibilities:
  • Align Sigmoid with key Client initiatives
  • Interface daily with customers across leading Fortune 500 companies 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
  • Facilitate in Technical Aspects
  • 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 customer & 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
Required Skills and Qualifications:
  • 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
  • Comfort in a fast-paced start-up environment
Preferred Qualification:
  • Experience in agile methodology
  • Development and support experience in Big Data domain
  • Architecting, developing, implementing and maintaining Big Data solutions
  • Experience with database modeling and development, data mining and warehousing

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