Software Engineering Manager

8 - 13 years

50 - 55 Lacs

Posted:3 months ago| Platform: Naukri logo

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Full Time

Job Description

As an Engineering Manager, you will lead a team of engineers responsible for the development andimplementation of our cloud-based data infrastructure. You will work closely with cross-functionalteams to understand data requirements, design scalable solutions, and ensure the integrity andavailability of our data. The ideal candidate will have a deep understanding of cloud technologies,data engineering best practices, and a proven track record of successfully delivering complex data projects. Key Responsibilities include:- Hire, develop, and retain top engineering talent- Build and nurture self-sustained, high-performing teams- Provide mentorship and technical guidance to engineers, fostering continuous learning anddevelopment- Lead the design, development, and deployment of scalable cloud-based data infrastructure and applications- Drive end-to-end execution of complex data engineering projects- Partner with Data Scientists, ML Engineers, and business stakeholders to understand data needs and translate them into scalable engineering solutions- Align technical strategy with business goals through effective communication and collaboration- Implement and enforce best practices for data security, privacy, and compliance with regulatory standards- Optimize data storage, processing, and retrieval for improved performance and cost efficiency.- Continuously evaluate and improve the system architecture and workflows- Stay current with emerging trends and technologies in cloud data engineering- Recommend and adopt tools, frameworks, and platforms that enhance productivity and reliability Bachelor s degree in Computer Science or a related field Minimum 8 years of experience in software development with at least 2 years in a technical leadership or management role. Proven experience as a Full stack developer, with a focus on cloud platforms. Proficient in programming languages such as Python. Strong hands-on expertise with Python frameworks (Django, Flask, or FastAPI, RESTful APIs), React.js and modern JavaScript Experience with authentication and authorization (OAuth, JWT) Strong understanding of cloud services, preferably AWS & Experience in building cloud native platforms using containerization technologies like Kubernetes, docker, helm Preferred Qualifications Knowledge of data warehouse solutions (BigQuery, Snowflake, Druid) and Big Data technologies such as Spark, Kafka, Hive, Iceberg, Trino, Flink. Experience with big data technologies (Hadoop, Spark, etc.). Experience with streaming data technologies (Kafka, Kinesis). Experience building data streaming solutions using Apache Spark / Apache Storm / Flink / Flume. Familiarity with machine learning pipelines is an added advantage. Proven ability to deliver complex, high-scale systems in a production environment. Strong people management and cross-functional collaboration skills.

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