Data Architect

• Proven experience as architect and engineering lead in Data & Analytics stream

• In-depth understanding of data structure principles and data platforms

• Problem-solving attitude, solution mindset with implementation expertise

• Working experience on Modern data platforms which involves big data technologies, data management solutions, and data virtualization

• Well-versed with the end2end data management philosophies and governance processes

• Has pre-sales experience and have involved in RFP/RFI/RFQ processes

• Creative problem-solver with strong communication skills

• Excellent understanding of traditional and distributed 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

Technical Skills:

• 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, Power BI and Kibana

• 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

• Preferred to be TOGAF certified
• Proven experience as an architect and engineering lead in Data & Analytics stream.
• In-depth understanding of data structure principles and data platforms.
• Problem-solving attitude, solution mindset with implementation expertise.
• Working experience on Modern data platforms, which involves big data technologies, data management solutions, and data virtualization.
• Well-versed in the end-to-end data management philosophies and governance processes.
• Has pre-sales experience and has been involved in RFP/RFI/RFQ processes.
• Creative problem-solver with strong communication skills.
• Excellent understanding of traditional and distributed 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

Technical Skills:

• 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, Power BI and Kibana.
• 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, Power Designer, 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.

• Proven experience as architect and engineering lead in Data & Analytics stream.
• In-depth understanding of data structure principles and data platforms.
• Problem-solving attitude, solution mindset with implementation expertise.
• Working experience on Modern data platforms which involves big data technologies, data management solutions, and data virtualization.
• Well-versed with the end2end data management philosophies and governance processes
• Has pre-sales experience and have involved in RFP/RFI/RFQ processes
• Creative problem-solver with strong communication skills
• Excellent understanding of traditional and distributed 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 queriesTechnical Skills: 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, Power BI and Kibana.
• 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.

• 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

Bachelor's degree in Computer Science, Software Engineering, or a related field.