Senior Data Architect

Dear Candidates,

Greetings from TCS !!!

TCS is a leading global IT services, consulting, and business solutions organization that delivers real results to global businesses, ensuring a level of certainty no other firm can match.

TCS is hiring for GCP Data & Analytics Architect, please find the below JD.

Experience range – 8 to 20 years

Location - Hyderabad, Chennai, Bangalore, Pune, Kolkata, Delhi

Required Skills - GCP Data Engineering (Big Query, DataProc, Dataflow, Composer), ETL/Data Pipeline design, Data Lake/Data Warehouse, Hadoop Ecosystem

Role& Responsibilities –

• Design & Implement ETL/data pipeline and Data Lake/ Datawarehouse in Google Cloud
• Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using Big Query, DataProc, Data Prep , Cloud Composer , Dataflow services/technologies.
• 10+ years of total experience and at least 3+ years of expertise in Cloud data warehouse technologies on Google Cloud data platform covering – Big Query, DataProc, Data Prep, Cloud Composer , Dataflow, Databricks etc.
• Extensive hands-on experience implementing data ingestion and data processing using Google Cloud services: DataProc , Data Prep, Cloud Bigtable , Dataflow , Cloud Composer , Big Query, Databricks, Kafka, Nifi, CDC processing, Snowflake, Datastore , Firestore, Docker, App Engine , Spark, Cloud Data Fusion, Apigee API Management, etc.
• Familiarity with the Technology stack available in the industry for data management, data ingestion, capture, processing, and curation: Kafka, Attunity, Golden Gate , Data Plex , Map Reduce, Hadoop, Hive, HBase, Cassandra, PySpark, Flume, Hive, Impala, etc.
• Design and Implement analytics solution that utilize the ETL/data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
• Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
• Create data tools for analytics and data scientist team members that assist them in building and optimizing products.
• At least one End-to-end Google Cloud data platform implementation is a must covering all aspects including architecture, design, data engineering, data visualization and data governance (specifically data quality and lineage).
• Significant experience with data migrations and development of Operational Data Stores, Enterprise Data Warehouses, Data Lake and Data Marts.
• Good hands-on knowledge on Big Query and Data Warehousing life cycle is an absolute requirement.
• Significant experience with data migrations and development, design, Operational Data Stores, Enterprise Data Warehouses and Data Marts.
• Excellent communication skills to liaise with Business & IT stakeholders.
• Expertise in planning execution of a project and efforts estimation.
• Understanding of Data Vault, data mesh and data fabric architecture patterns.
• Exposure to working in Agile ways of working.