• Job Description

  Req#: 363033
  Senior SAS Analyst/ Architect
  
  
  Required Skills:
   8+ years of experience in data engineering, with a proven track record of designing, building, and maintaining large-scale data platforms.
   3+ years of experience in a lead or architect role, demonstrating strong leadership and mentorship skills.
   2+ year experience in SAS coding
   2+ year of experience working on Google or AWS cloud developing data solutions. Certifications preferred
   Expert-level understanding of data warehousing concepts, distributed systems, and cloud-based data platforms (AWS, GCP).
   Hands-on experience with Python/Pyspark/Scala and basic libraries for machine learning is required
   Experience with containerization and related technologies (e.g. Docker, Kubernetes) is a must
   Knowledge of agile (scrum) development methodology is a plus
   Strong development/automation skills
   Can-do attitude on solving complex business problems, good interpersonal and teamwork skills
   Possess great communication skills and must be able to directly work with business team to collect, analyze and put together appropriate requirements and solutions
  
  
  Responsibilities:
   Ability to discuss requirements with key stakeholders, document dataflow and capture requirements. Critical thinking target state on adaptable solution and recommend teams to drive best solution into implementation
   Implement scalable, high-performance data pipelines to support complex data processing needs and enforce data governance policies, ensuring data quality, Integration to audit tools
   Drive innovation by researching and recommending cutting-edge technologies and solutions to enhance data processing, storage, and analysis capabilities
   Able to develop high-level and detailed technical design and solutions considering scalability, security, and performance of systems
   Identify opportunities for process improvements and contribute to optimization efforts individually
   Identify and resolve technical issues that arise during the solution life cycle
   Experience in business process modeling and documentation tools
   Responsible for moving all legacy SAS Workloads to cloud/Container platform solutions
   Ability to research and assess open-source technologies and components to recommend and integrate into the design and implementation
   Analyze Current Model SAS code and convert SAS based pipelines to PySpark to execute on distributed ecosystems
  
  
  Salary Range- $125,000-$140,000 a year
  
  
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• About the company

  Tata Consultancy Services is an Indian multinational information technology services and consulting company headquartered in Mumbai, Maharashtra, India with its largest campus located in Chennai, Tamil Nadu, India.

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