Location
Bangalore | India
Job description
Experience - 15 to 22 years.
Location - Bangalore/Chennai/Hyderabad/Pune/Noida.
Cloud Data Architect
- Proven experience as architect and engineering lead in Data & Analytics stream
- In-depth understanding of data structure principles, data platforms, new-gen Data Architecture with latest offerings from various cloud providers like AWS, GCP and Azure.
- Working experience on Modern Data Platforms which involves Cloud & related technologies, serverless offerings/services, Graph databases, Virtualization etc.
- Problem-solving attitude, solution mindset with implementation expertise
- Well-versed with the E2E Data Management philosophies and Data Governance processes.
- Mandatory: 10+ years of experience in the Data Engineering space with at least few complex & high-volume data projects as an architect.
- Has pre-sales experience and led and contributed towards the data solutions within RFP/RFI/RFQ.
- Creative problem-solver with strong communication skills
- Excellent understanding of traditional, distributed and next-gen (modern) computing paradigm.
- Should have excellent knowledge in data warehouse / data lake technology and business intelligence concepts.
- Should have good knowledge in Relational, No-SQL, Big Data Databases and should be able to write complex SQL queries.
- Should have strong implementation experience in all the below technology areas (breadth) and deep technical expertise in some of the below technologies:
- Data integration – ETL tools like Talend and Informatica. Ingestion mechanism like Flume & Kafka.
- Data modelling – Dimensional & transactional modelling using RDBMS, NO-SQL and Big Data technologies. Experience in Snowflake modelling would be an advantage.
- Data visualization – Tools like Tableau.
- Master data management (MDM) – Concepts and expertise in tools like Informatica & Talend MDM.
- Big data – Hadoop eco-system, Distributions like Cloudera / Hortonworks, Pig and HIVE.
- Data processing frameworks – Spark & Spark streaming.
- Hands-on experience with multiple databases like PostgreSQL, Snowflake, Oracle, MS SQL Server, NOSQL (HBase / Cassandra, MongoDB), is required.
- Knowledge of various data modelling techniques and should be hands on with data modelling tools like ERWin, TOAD, PowerDesigner, etc.
- Experience in cloud data eco-system - AWS, Azure or GCP.
- Demonstrate strong analytical and problem-solving capability.
- Good understanding of the data eco-system, both current and future data trends.
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