Tata Consultancy Services(TCS) Released Job Openings On 16/06/2022.Tata Consultancy Services is an Indian multinational information technology services and consulting company headquartered in Mumbai. It is a part of the Tata Group and operates in 149 locations across 46 countries.Eligibility Criteria / Educational Qualification, Official Notification, Apply Online Form Link & Other Relevant Details for Tata Consultancy Services(TCS) Recruitment 2022 are provided below. Interested and eligible  can submit application along with resume.Â
Vacancy Details:
Tata Consultancy Services(TCS) Recruiting Any Graduate Candidates with 09-14 Years Experience for Solution Architect Position.Complete Details for the Solution Architect follows.
Important Details :
- Location :  (WFH during Covid)
- No of Vacancies:Not Disclosed By Recruiter
- Details of Salary: NA
- Opening date for online Application: 16/06/2022
- Mode of application :Online
- How To Apply: Interested candidate can share me your profile through mail – anni.5@tcs.com
Related Job : IQVIA Looking For FRESHERSÂ
Job Description/Skills Required
- 10+ years of experience working in Enterprise Data Warehouse technologies
- Minimum needed certifications: Google Cloud Certified Professional Cloud Architect/Google Cloud Certified Professional Data Engineer
- Preferred additional certifications: Google Cloud Professional ML Engineer, Other Cloud (AWS/Azure) Data & AI/ML related certifications
- Solid in-depth hands-on experience and understanding of data lakes and data warehouse architectures, designs, implementations and hybrid data architectures on Google cloud, other clouds, and migration of on-prem to cloud
- Experience in handling structured and unstructured data from many sources and deep knowledge about batch and streaming data processing methods
- Solid understanding of data virtualization, data catalogues, metadata management, data ingestion, data visualization, data governance, security and data quality management frameworks, tools, and evolving technology landscape
- Deep experience in implementing enterprise data lake or data house modernization programs
- Customer facing migration & modernization experience, including discovery, assessment, planning, design, implementation, and Data & ML Ops
- Good experience in working with Hadoop and big data technologies like Spark, HDFS, Pig, Hive, Storm, HBase, Teradata, Tableau, Google BigQuery, Dataproc, Looker, AI Platform, AutoML
- Extensive hands on experience with Googles services such as Dataflow, Cloud Composer, Cloud Datafusion, Cloud Pub/Sub, Data Catalog, Data Studio, Cloud IAM,, Cloud Run, Google Kubernetes Engine, Google Compute Engine, Cloud Storage, Cloud IAM etc
- Experience with building software code in one or more languages such as Java, Python and SQL
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