Specialist - Data Engineering

Minimum 5 to 8 years of IT experience with handson expertise in Databricks on AWS Proficient in leveraging Databricks features such as oDelta Lake oUnity Catalog oScalable data processing frameworks Strong understanding of AWS cloud services including oAmazon S3 oAWS Lambda oAmazon SNS oAWS Step Functions oAWS Glue Skilled in job cost optimization techniques to oMinimize runtimes oImprove system performance Experience with oPython core libraries oPySpark for data engineering tasks Good analytical and problemsolving skills with expertise in oSQL query development oStored procedures oCreating data marts and views in RDBMS Strong understanding of oETL concepts oEndtoend data pipeline architecture oData warehouse and reporting layers Familiarity with CICD pipelines and deployment tools such as oTerraform Experience with version control systems oGitHub or equivalent platforms Understanding of oAgile methodology oSoftware Development Life Cycle SDLC Excellent communication and presentation skills with the ability to collaborate effectively with stakeholders Roles Responsibilities: Collaborate with business users and stakeholders to understand challenges and provide effective Databricksbased solutions Research and evaluate new Databricks features conduct Proof of Concepts POCs and develop best practice documentation Provide support for Sparkrelated issues and participate in code reviews offering recommendations for improvement Lead and mentor junior team members guiding them in development and troubleshooting activities Manage midsized teams and oversee delivery of work ensuring quality and timely completion Take ownership of assigned tasks and contribute effectively in an Agile environment

Participate in solution design discussions and prepare designdocumentation artifacts based on requirements

Drive job cost optimization and performance tuning initiatives to enhance system efficiency

Support CICD processes and infrastructure automation to streamline deployments

Actively participate in Agile ceremonies and contribute to continuous improvement of team collaboration and productivity