Data Platform Engineering Manager

5 days ago

Hyderabad, Telangana, India SID Information Technologies Full time
1) Role : Data Engineering Manager | 12+ Years

Experience: 12+ Years

  Immediate Joiners

  We are looking for a high-end Engineering Manager who can provide technical direction for a highly scalable data platform in clinical oncology or the healthcare domain, having a tech stack spanning AWS, Python, Terraform, and all the new buzz around AI. A blend of strong technical skills in areas like data architecture, ETL, cloud platforms, and big data technologies, alongside crucial soft skills such as leadership, communication, problem-solving, business acumen, and project management. The manager must oversee the design and maintenance of data systems, manage and mentor a team, and align technical solutions with business objectives.

Data Architecture & Modelling: Design and oversee scalable data models, warehouses, and lakes.

- Programming Languages: Proficiency in languages like Python, SQL, and Scala for data processing and pipeline development.

- Databases: Deep understanding of SQL, NoSQL (e.g., MongoDB), and relational databases (e.g., PostgreSQL).

- Cloud Platforms: Expertise in cloud environments such as AWS, Azure, or GCP.

- Big Data Technologies: Experience with tools like Spark, Kafka, Hadoop, and Snowflake.

- Data Governance & Security: Ensure data compliance, privacy, and security protocols are followed.

- CI/CD & Automation: Familiarity with DevOps practices for efficient deployment and management.

Data Engineering Lifecycle:  Lead research, proof of concept, architecture, development, testing, deployment, and ongoing maintenance of data solutions

Data Solutions:  Design and implement modular, flexible, secure, and reliable data systems that scale with business needs

Instrumentation and Monitoring:  Identify and address legacy inefficiencies to improve performance and maintainability

Documentation and Governance:  Maintain clear documentation of data models, transformations, and pipelines to ensure security and governance compliance

Cloud Expertise:  Leverage advanced skills in AWS and EKS to build, deploy, and scale cloud-native data platforms

Team Leadership:  Lead and mentor engineering teams to ensure operational efficiency and innovation Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to,

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