Data Engineering Manager

Job Description

Experience: 9 12 Years CTC: 20 30 LPA Notice Period: Immediate to 15 Days Location: Bangalore Overview The Data Engineering Manager plays a vital role in leading our data team , driving innovation , and ensuring high performance in critical projects within our organization. You will be at the forefront of technology and data strategy , guiding architects and developers to harness data effectively to support business objectives . Additionally, you ll have opportunities to grow within a vibrant team that prioritizes collaboration and continuous learning . Our company culture is built on the principles of integrity, innovation, and collaboration . As a Data Engineering Manager , you ll ensure that your team thrives in an environment that promotes creativity while delivering cutting-edge solutions to client challenges. Key Responsibilities Lead and mentor a team of data engineers to ensure effective implementation of data solutions . Oversee data integration processes and ensure data quality and accuracy . Work collaboratively with cross-functional teams to identify and prioritize data needs . Design and implement data models and databases that meet company needs . Manage pipeline operations and optimize data processes . Continuously assess and improve data architectures and engineering practices . Serve as the primary point of contact for data engineering projects and initiatives. Support strategic decision-making by providing insights from complex data analysis . Requirements Minimum 5 years of relevant experience for 10 12 years of total experience (Architect/Managerial level) . Minimum 5 years of relevant experience for 6 9 years of total experience (Developer/SA/SC level) . Deep expertise in Data Factory, Data Bricks, SQLDB (complex Stored Procedures), Synapse, Python, and PySpark scripting . Mandatory certification: DP-203 Azure Data Engineer Associate . Certified Databricks Data Engineer Associate for Developer roles; Professional certification for Architect/Managerial roles . Key Skills Proficiency in Data Factory, Data Bricks, SQLDB, Synapse, and Azure Analysis Services . Advanced skills in Python and PySpark scripting . Strong problem-solving and debugging capabilities . Expertise with GITHUB and Azure DevOps . Experience in creating complex PySpark queries for analysis . Strong troubleshooting and debugging skills . Proven experience with source control technologies (GITHUB, Azure DevOps), build and release pipelines . Experience in writing complex PySpark queries for data analysis . Good to have certifications in Apache Spark 3.0 . Familiarity with visualization tools such as Power BI and Tableau .