Tata Consultancy Services Ltd Hiring 2022 Any Graduate/ for Data Architect At Kolkata, Hyderabad/Secunderabad, Pune, Ahmedabad, Chennai, Bangalore/Bengaluru, Delhi / NCR, Mumbai (All Areas) (WFH during Covid) . Tata Consultancy Services Ltd. Notification full details below..Interested and eligible candidates can Apply Now.
- Vacancy details:
- Post Name: Data Architect
- Qualification: Any Graduate
- Experienced:9 to 14 years
- Openings:NA
- Salary:NA
Job Description: Tata Consultancy Services Ltd. Hiring For Data Architect !
- Important Details :
- Location: Kolkata, Hyderabad/Secunderabad, Pune, Ahmedabad, Chennai, Bangalore/Bengaluru, Delhi / NCR, Mumbai (All Areas) (WFH during Covid)
- Post of date:16/06/2022
- Note:Interested candidate can share me your profile through mail – anni.5@tcs.com
- Selection Process: The selection will be on the basis of Interview.
Roles and Responsibilities
- 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
How to Apply :
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