Job description:

About HCLTech
HCLTech is a global technology company, spread across 60 countries, delivering industry-leading capabilities centered around digital, engineering, cloud and AI, powered by a broad portfolio of technology services and products. We work with clients across all major verticals, providing industry solutions for Financial Services, Manufacturing, Life Sciences and Healthcare, Technology and Services, Telecom and Media, Retail and CPG, and Public Services. We re powered by our people a global, diverse, multi-generational talent - representing 161 nationalities whose unique spark, perspective and boundless passion drive our culture of proactive value creation and problem-solving.
Our purpose is to bring together the best of technology and our people to supercharge progress for everyone, everywhere our clients, partners, their stakeholders, communities, and the planet. As a company, we are deeply focused on accelerating our ESG agenda. We are also creating technology-enabled sustainable solutions with and for our clients and partners. We embed ESG imperatives into every aspect of our business and ensure that the progress we supercharge is responsible, inclusive and beneficial to all our stakeholders in the long term. We have committed to achieving net zero by 2040.

To learn more about how we can supercharge progress for you, visit www.hcltech.com

Senior Technical Specialist with apache spark,scala,python

Job Summary
The Senior Technical Specialist will be responsible for providing expertise in apache spark, scala, and python. They will play a key role in developing and implementing technical solutions using these tools to meet the organization's objectives.

• Key Responsibilities
  1. Develop and implement data processing frameworks using apache spark.
  2. Write efficient code in scala and python for data analysis and manipulation.
  3. Collaborate with cross functional teams to design and implement scalable data solutions.
  4. Troubleshoot and resolve technical issues related to apache spark, scala, and python applications.
  5. Stay updated with the latest trends and advancements in big data technologies.
  
  Skill Requirements
  1. Proficiency in apache spark for developing data processing frameworks.
  2. Strong programming skills in scala and python for data analysis and manipulation.
  3. Experience in handling big data and implementing scalable solutions.
  4. Knowledge of data engineering concepts and methodologies.
  5. Ability to collaborate effectively with teams and communicate technical concepts clearly.
  
  Certifications: Relevant certifications in Apache Spark, Scala, or Python are a plus.