Senior Big Data EngineerYou’ll work on a high impact and high visibility project that enables data availability, encompasses data analytics, machine learning, and petabyte scale datasets, and provides reliable and timely access to thousands of data sources.Design, architect and support new and existing data and ETL pipelines and recommend improvements and modifications.Create optimal data pipeline architecture and systems using Apache AirflowAssemble large, complex data sets that meet functional and non-functional business requirements.Be responsible for ingesting data into our data lake and providing frameworks and services for operating on that data including the use of Spark & Databricks.Analyze, debug and correct issues with data pipelinesOperate on or build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL, Spark and Azure technologies.You OfferYou have 8+ years of experience building high performance scalable enterprise analytics or data centric solutionsYou have at least 5 years of experience implementing complex ETL pipelines preferably in connection with Hadoop or SparkExperience working with Spark data pipeline and or streaming experienceYou have exceptional coding and design skills in Java/Scala or C#.You are an expert in Python, or can demonstrate your ability to readily learn new languages and your affinity for them.You understand the nature of distributed systems design.You have hands-on experience with Azure.You have a BS in Computer Science / Software Engineering or equivalent experience.You have a strong understanding & usage of algorithms and data structures.You work well in a team environment, and are a self-starter.You have the ability to lead, or have led teams before.Expertise building and managing python librariesNice To HaveAzure Data Lake experienceMachine Learning expertiseExperience with Apache AirflowExperience with C#.