Senior engineer, data engineering

The Data Engineer should have strong data infrastructure and data architecture skills, a proven track record of administration for data engineering teams, strong operational skills to drive efficiency and speed, strong project management skills, and a core value base for how analytics can proactively improve organizations. You will be part of the Data & Analytics team and will partner closely with a team of data scientists, business analysts & business intelligence leading a cloud-based strategy for our clients. You'll work on our Azure based data pipeline projects with a focus on collecting, parsing, managing, analysing and visualizing large sets of data to turn information into insights using multiple technology platforms. Therefore, this role requires an understanding of how a secure data cloud environment is architected to gain real insights faster, with less friction and complexity. Ideal candidate should be a champion of building a distributed and scalable architecture that is metadata driven. You're also a detail-oriented person that believes data quality should never be sacrificed. Mandatory Skills: Python, SQL, Snowflake, Cloud Experience - 5 to 7 yrs Work Mode - Hybrid Facilitate team to design, build and test end to end data pipeline including data ingestion (streaming, events and batch), data integration, data curation Help build out and support an Enterprise Data Marketplace Administer the Big data platform on the cloud Implement automation of jobs and testing Optimize the data pipeline to support ML workloads and use cases Support mission critical applications and near real time data needs from the data platform Build and support reusable framework to ingest, integration and provision data Capture and publish metadata and new data to subscribed users Work collaboratively with product managers, data scientists as well as business partners and actively participate in design thinking session Ensure security is integrated into all cloud services. Build, monitor, and manage the cloud infrastructure. Monitor and optimize cloud workloads. Review current and future Azure implementations and suggest ways to improve and standardize the cloud offerings. Bachelor’s degree in Computer Science, Physics, Mathematics, Statistics or other Engineering disciplines 5+ years' experience as Data engineer ~ Experience with big data tools: Experience with building relational SQL Data Warehouses ~ Good Hands on experience with data pipeline and workflow management tools: Azure Data Factory, SSIS ~ Experience with object-oriented/object function scripting languages: Python, C#, Scala, VBA, etc. ~ Experience with systems scripting languages: Experience with Git/Git Hub and automating builds ~ ability to collaborate with business partners to identify needs and opportunities for improved data management and delivery Experience building distributed architecture and Io T in a Dev/Ops environment Experience in both Agile and Waterfall methodologies Experience building and optimizing claims data pipelines, architectures/data models and data sets. Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement. Experience with the Agile workflow, Test Driven Development, and continuous improvement/continuous deployment. Build processes supporting data transformation, data structures, metadata, dependency and workload management using Azure Automation, Azure Function Apps, and Azure Data Factory. Working knowledge of Azure Automation, Azure Data Factory, and highly scalable 'big data' data stores such as Azure Blob Storage, Azure Data Lake Experience supporting and working with cross-functional teams in a dynamic environment. Excellent planning, prioritization, problem solving skills. Experience with any of the following scripting languages, R, JSON, Parquet, Java Script, Regex, Power Shell, shell scripting. Experience with Data Bricks, HDInsight, Python.