Associate Manager - Data Engineering Support

Job Description

Role & responsibilities Provide data engineering support and subject matter expertise for Elancos Enterprise Data Platforms and Data Products Monitor the health of our solutions using technologies such as Azure Data Factory, Azure Synapse Analytics, Azure Data Lake and Azure Databricks, resolving issues and delivering both operational improvements and minor enhancements. Provide expertise on general data principles, services and architectures Participate and help develop data engineering community of practice as a global go-to expert panel/resource. Develop and evolve new or existing data engineering methods and procedures to create possible alternative, agile solutions to moderately complex problems. Stay abreast with new and emerging data engineering technologies, tools, methodologies and patterns on Azure and other major public clouds. Demonstrate ownership in understanding the organizations strategic direction as it relates to your team and individual goals. Work collaboratively and use sound judgment in supporting robust solutions while seeking guidance on complex problems. Follow Elancos corporate standards for service delivery and service management capturing appropriate detail in ServiceNow for incidents, changes, service requests, releases and problems. Work in a shift-based schedule to allow for appropriate time-zone support Preferred candidate profile Bachelors or higher degree in Computer Science or a related discipline. At least 2 years of data pipeline and data product design, development, delivery experience and deploying ETL/ELT solutions on Azure Data Factory . Azure native data/big-data tools, technologies and services experience including Storage BLOBS, ADLS, Azure SQL DB, COSMOS DB, NoSQL and SQL Data Warehouse. Sound problem solving skills in developing data pipelines using Databricks , Stream Analytics and PowerBI. Minimum of 2 years of hands-on experience in programming languages, Azure and Big Data technologies such as Powershell, C#, Java, Python, Scala, SQL, ADLS/Blob, Hadoop, Spark/SparkSQL,Hive, and streaming technologies like Kafka, EventHub etc. Good to Have Skills: Hands-on experience in implementing data migration and data processing using Azure services: Windows/Linux virtual machines, Docker Container and Kubernetes Cluster Management, AutoScaling, Azure Functions, Server-less Architecture, ARM Templates, Logic Apps and Data Factory, Azure network security group, Key management service, etc. ITIL Qualifications or at least a good understanding of Incident Management, Change Management, Release Management and Problem Management, Service Requests, Bug Fixes. Knowledge of Spark Framework 3.x version Cloud migration methodologies and processes including tools like Azure Data Factory, Event Hub, etc. Experience in using Hadoop File Formats and compression techniques. DevOps on an Azure platform. Experience working with Developer tools such as Visual Studio, GitLabs, Jenkins, etc. Familiarity with metadata management tools, techniques and technologies such as Data Catalog & Dictionaries, Data Governance, Data Quality, MDM, and Data Lineage. Experience with private and public cloud architectures, pros/cons, and migration considerations. Proven ability to work independently. Proven ability to work in a team-oriented environment and work collaboratively in a problem-solving environment. Excellent written and oral communication and interpersonal skills. Excellent organizational and multi-tasking .