Key Skills: Hdfs, Debugging, Hive, UNIX, Map Reduce, Hadoop, Spark, Banking Operations, Autosys, Agile Methodology, Kafka
Roles and Responsibilities:
- Design, develop, and maintain scalable data pipelines for extracting, transforming, and loading data from various sources to ensure seamless data flow and accessibility.
- Collaborate with cross-functional teams to integrate data from multiple disparate sources, ensuring consistency, accuracy, and reliability of data.
- Optimize data processing workflows and storage solutions for performance, scalability, and cost-efficiency.
- Implement data quality checks and validation processes to ensure the accuracy, completeness, and consistency of data throughout the data lifecycle.
- Monitor the performance of data pipelines and infrastructure, identifying and resolving issues to maintain system stability and reliability.
Skills Required:
Must-Have:
(Ideally should not be more than 3-5)
- Strong experience in Snowflake, SQL for data manipulation and engineering tasks.
- Strong expertise in SQL and Snowflake architecture.
- Expertise in data architecture, data governance, data quality standards, and data security practices to ensure compliance and protection of sensitive information.
- Experienced in designing, owning, and delivering Snowflake data platforms based on customer requirements.
- Experience in ETL tools - Informatica / DBT.
- Experience in one or more cloud platforms - Preferably Azure / AWS / GCP.
- In-depth knowledge of data warehousing concepts and experience in building and managing data warehouses.
- Knowledge in ETL concepts - needs to manage data migration into Snowflake. This includes extracting data from various sources, transforming it into a usable form, and loading it into the Snowflake platform.
Good-to-Have
(Ideally should not be more than 3-5)
- Strong understanding of data modeling concepts and techniques to create efficient and scalable data models.
- Knowledge of agile based execution.
- Experience with version control systems such as Git for code management and collaboration.
Education: Bachelor's or Master's degree in Engineering