Coastal engineer Jobs in Ottawa, ON

About PersistentWe are a trusted Digital Engineering and Enterprise Modernization partner, combining deep technical expertise and industry experience to help our clients anticipate what’s next. Our offerings and proven solutions create a unique competitive advantage for our clients by giving them the power to see beyond and rise above. We work with many industry-leading organizations across the world including 14 of the 30 most innovative US companies, 80% of the largest banks in the US and India, and numerous innovators across the healthcare ecosystem.Our disruptor’s mindset, commitment to client success, and agility to thrive in the dynamic environment have enabled us to sustain our growth momentum by reporting $291.71M revenue in Q2FY24, delivering 14.1% Y-o-Y growth. Our 22,800+ global team members, located in 21 countries, have been instrumental in helping the market leaders transform their industries. We’re also pleased to share that Persistent won the 2023 Golden Peacock Award for Excellence in Corporate Governance within the IT sector. Acknowledging our cloud expertise, we were named a Challenger in the 2023 Gartner® Magic Quadrant™ for Public Cloud IT Transformation Services. Throughout this market-leading growth, we’ve maintained strong employee satisfaction - over 94% of our employees approve of the CEO, and 89% would recommend working at Persistent to a friend.Position : Data EngineerLocation : Ottawa (Hybrid)Data Engineer – Preferably 8-10 Years of Data Engineering.Must Have : DatabricksSQLPythonADFPySparkData Warehouse Concepts Job Description : This position is for a Cloud Data engineer with a background in Python, Pyspark, SQL and data warehousing for enterprise level systems. The position calls for someone that is comfortable working with business users along with business analyst expertise in understanding Banking and Capital markets , especially in investment banking would be a big plus. Strong Database fundamentals is a must along with PySpark Coding expertise. Major Responsibilities : Build and optimize data pipelines for efficient data ingestion, transformation and loading from various sources while ensuring data quality and integrity.Design, develop, and deploy Spark program in databricks environment to process and analyze large volumes of data.Experience of Delta Lake, DWH, Data Integration, Cloud, Design and Data Modelling.Proficient in developing programs in Python and SQLExperience with Data warehouse Dimensional data modeling.Working with event based / streaming technologies to ingest and process data.Working with structured, semi structured and unstructured data.Optimize Databricks jobs for performance and scalability to handle big data workloads. Monitor and troubleshoot Databricks jobs, identify and resolve issues or bottlenecks. Implement best practices for data management, security, and governance within the Databricks environment. Experience designing and developing Enterprise Data Warehouse solutions.Proficient writing SQL queries and programming including stored procedures and reverse engineering existing process.Perform code reviews to ensure fit to requirements, optimal execution patterns and adherence to established standards. Skills : 5+ years Python coding experience.5+ years - SQL Server based development of large datasets5+ years with Experience with developing and deploying ETL pipelines using Databricks Pyspark.Experience in any cloud data warehouse like Synapse, Big Query, Redshift, Snowflake.Experience in Data warehousing - OLTP, OLAP, Dimensions, Facts, and Data modeling.Previous experience leading an enterprise-wide Cloud Data Platform migration with strong architectural and design skills.Experience with Cloud based data architectures, messaging, and analytics.Cloud certification(s).Strong experience in Code Optimizations and Performance tuningLet’s unleash your full potential at Persistent - persistent.com / careers“Persistent is an Equal Opportunity Employer and prohibits discrimination and harassment of any kind.”