DevOps Engineer - Summit, United States - Axelon

Description

• 5+ years of experience in building out Data pipelines in Python.
• Strong knowledge of data warehousing, ETL processes, and database management.

• 3+ years of experience developing and deploying pyspark/python scripts in cloud environment.
• 3 + years of experience working in AWS Cloud especially services like S3, Glue, Lambda, Step Functions, DynamoDB, ECS etc.
• 1+ years of hands-on experience in the design & development of data ingress/egress patterns on Snowflake
• Proficiency in Aurora Postgres database clusters on AWS
• Familiarity with Orchestration tools like Airflow, Autosys, etc
• Experience with data lake/data marts/data warehouse
• Proficiency in SQL, data querying, and performance optimization techniques
• bility to communicate the status, challenges and proposed solution with the team.
• Demonstrating the ability to learn new skills and work as a team.
• Knowledge of data security and privacy best practices.
• Working knowledge of data governance and ability to ensure high data quality is maintained throughout the data lifecycle of a project.
• Knowledge of data visualization and business intelligence tools (e.g., Tableau, Power BI).
• bility to prioritize multiple tasks and projects and work effectively under pressure; exceptional organizational and administrative skills; at ease with abundance of details, yet mindful of big picture at all times.
• Strong analytical and problem-solving skills, with ability to conduct root cause analysis on system, process or production problems and ability to provide viable solutions.
• Experience working in an Agile environment with Scrum Master/Product owner and ability to deliver.

• Good exposure to Containers like ECS or Docker
• Python API Development/Snowflake snowpark coding experience
• Streaming or messaging knowledge with Kafka or Kinesis is desirable.
• Understanding of capital markets within Fixed Income