Manager-Data/AI Engineering

Overall Purpose This position will manage a team of 10+ data engineers and interact on a consistent basis with other developers, architects, data product owners and source systems. This position requires multifaceted candidates who have experience in data engineering, data analysis, visualization, good hands-on experience PySpark Databricks, and in Azure Cloud Platform Services Key Roles and Responsibilities Lead and manage a team of Data engineers to Develop, understand, and enhance code in traditional data warehouse environments, data lake, and cloud environments like Snowflake, Azure, Databricks Build end-to-end data business intelligence solutions. This includes data extraction, ETL processes applied on data to derive useful business insights, and best representing this data through dashboards. Write complex SQL queries used to transform data using Python/Unix shell scripting Understand business requirements and create visual reports and dashboards using Power BI or Tableau. Upskill to different technologies, understand existing products and programs in place Work with other development and operations teams. Flexible with shifts and occasional weekend support. Key Competencies Full life-cycle experience on enterprise software development projects. Experience in relational databases/ data marts/data warehouses and complex SQL programming. Extensive experience in ETL, shell or python scripting, data modelling, analysis, and preparation Experience in Unix/Linux system, files systems, shell scripting. Extensive knowledge in Python, PySpark, Databricks, Azure Cloud Platform Services Good to have experience in BI Reporting tools Power BI or Tableau Good problem-solving and analytical skills used to resolve technical problems. Must possess a good understanding of business requirements and IT strategies. Experience in presentation design, development, delivery, and good communication skills to present analytical results and recommendations for action-oriented data driven decisions and associated operational and financial impacts. Experience in managing a team of 10 or more, is involved in appraisal and rating process Required/Desired Skills Cloud Platforms - Azure, Databricks, Deltalake (Required 5-6 years) SQL Programming, Python/PySpark ETL (Required 8+ Years) Unix/Linux shell scripting (Required 6-8 years) RDBMS and Data Warehousing (Required 8+ Years) Iceberg enablement (Desired 2-3 years) Managed a team for 2+ years Snowflake Power BI / Tableau (Good to have)