DevOps Engineer

Job description:Your Required Skills5+ years of experience in building out Data pipelines in Python.Strong knowledge of data warehousing, ETL processes, and database management.Proficiency in data modeling, database design, and SQL.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 SnowflakeProficiency in Aurora Postgres database clusters on AWSFamiliarity with Orchestration tools like Airflow, Autosys, etcExperience with data lake/data marts/data warehouseProficiency in SQL, data querying, and performance optimization techniquesbility 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.Your Desired Skills:Good exposure to Containers like ECS or DockerPython API Development/Snowflake snowpark coding experienceStreaming or messaging knowledge with Kafka or Kinesis is desirable.Understanding of capital markets within Fixed Income#J-18808-Ljbffr

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