Key Skills:
▪ Strong AWS knowledge in terms of designing new architecture and providing optimized solution for existing one.
▪ In-depth knowledge with respect to Snowflake and its architecture.
▪ provide solutioning and drive the implementation of DOPS features which includes - building IAC infra, Git Lab re-structuring, Git lab Upgrades monitoring etc, ▪ Should have the vision on data strategy and able to deliver the same. ▪ Should be able to lead the design and implementation of data management processes, including data sourcing, integration, and transformation.
▪ Able to manage and lead a team of data professionals, providing guidance, mentoring and foster a collaborative and innovative team culture focused on continuous improvement.
▪ To evaluate and recommend data-related technologies, tools, and platforms. ▪ Collaborate with IT teams to ensure seamless integration of data solutions. ▪ should have experience in Implementing and enforce data security protocols and ensure compliance with relevant regulations.
Responsibilities:
▪ Work with stakeholders to understand needs for data structure, availability, scalability, and accessibility.
▪ Develop tools to improve data flows between internal/external systems and the data lake/warehouse.
▪ Build robust and reproducible data ingest pipelines to collect, clean, harmonize, merge, and consolidate data sources.
▪ Understanding existing data applications and infrastructure architecture
▪ Build and support new data feeds for various Data Management layers and Data Lakes ▪ Evaluate business needs and requirements
▪ Support migration of existing data transformation jobs in Oracle, and MS-SQL to Snowflake.
▪ Lead the migration of the existing data transformation jobs in Oracle, Hive, Impala etc. into Spark, Python on Glue etc.
▪ Able to document the processes and steps.
▪ Develop and maintain datasets.
▪ Improve data quality and efficiency.
▪ Lead Business requirements and deliver accordingly.