Data Engineering Manager

2 months ago

Coimbatore, India Cloud Destinations Full time

Company Overview :

Cloud Destinations is headquartered in San Ramon, CA. We are a fast-growing organization focused on infrastructure projects and professional services related to Large Scale Cloud Migrations, Multi-Cloud Operations (AWS, Azure, Google Cloud, VMware, Rack Space, etc.), Dev Ops, RNOC, Security Operations, Datacenter, UC Collaboration, etc.

We have a strong technical and leadership team, with offices located globally. We believe our successes come from our teamwork and mutual respect for each other's talents and unique perspectives.

Job Title : Data Engineering Manager.

Experience : 10+ Years.

Location : Coimbatore.

Type : Full-Time.

Experience Level : Senior.

About the Role :

We are seeking a skilled Senior Data Engineering Manager to join our team. The ideal candidate will have a strong background in cloud platforms, big data processing, data lakes, data modeling, data warehousing, relational databases, ML/AI concepts, architecture design principles, and various tools and technologies.

Management Responsibilities :

- Own ongoing development and support of our data products using data product management principles and processes.

- Develop roadmaps that deliver new capabilities (e., new data domains, data models) and address performance and platform operating costs opportunities.

- Lead a team of Data Engineers, including mentorship and skills development.

- Build scalable methodologies to mature and accelerate our data engineering and data product development practices.

- Establish data visualization (e., reporting) training and support best practices for the company.

- Develop a MLOps / DataOps operating model for the team.

- Manage data platform spend within budget.

- Work with our technology partners and data analysts to ensure high-quality, usable data is captured to support reliable business-facing analytics.

- Keep abreast of new advances in data platform tools and best practices across retail and related domains.

- Partner with VP and Sr Directors to lead team and company data change initiatives.

- Leadership and Management Experience.

- Proven experience in leading and managing a data engineering team.

- Strong skills in project management, team building, and performance evaluation.

- Ability to mentor and develop team members.

- Experience in strategic planning and executing data engineering initiatives.

Key Skills :

- Cloud Platforms Expertise in one major cloud platform (e., AWS, Azure, Google Cloud).

- Big Data Processing Proficiency in a big data framework (e., Hadoop, Spark, Flink).

- Data Lake Experience with a data lake platform (e.g , AWS S3, Azure Data Lake, Google Cloud Storage) and an understanding of data lake architecture.

- Data Modeling & Pipelines Proficiency in data modeling and designing data pipelines (ETL/ELT) and an understanding of data modeling techniques and pipeline tools.

- Data Warehousing Expertise in a data warehousing solution (e.g, Redshift, Snowflake, BigQuery) and an understanding of data warehousing concepts.

- Relational Databases Proficiency in a relational database (e.g, MySQL, PostgreSQL, Amazon RDS).

- Machine Learning (ML) and AI Concepts Proficiency in an ML/AI framework (e.g PyTorch, R) and understanding of ML/AI principles, Generative AI and RAG.

- Programming Skills Proficiency in SQL and Python, Java (nice to have).

- Architecture Design Principles Strong grasp of good architecture design principles (e., scalability, reliability, security); Ability to design systems that adhere to these principles.

- Software Development Practices Understanding of the 12-factor app methodology.

Tools and Technologies :

- Data Orchestration and Pipelines : Apache Airflow, DBT, PySpark.

- Project Management and Collaboration : Jira, Confluence.

- Cloud and Container Management : AWS, Azure, Google Cloud, Kubernetes.

- Languages : Python, SQL, Java (nice to have).

- API Management : AWS API Gateway, GraphQL, REST.

- Architecture Frameworks : C4, Microservices, TOGAF.

- Data and Databases : Snowflake, BigQuery, Databricks,, MySQL, Postgres.

- Streaming and ETL : Kafka, Spark.

- Caching : Redis.

- DevOps and CI/CD : Jenkins, Docker, Kubernetes.

Soft Skills :

- Communication : Excellent verbal and written communication abilities.

- Presentation : Proficiency in creating and delivering presentations.

- Problem-Solving : Strong analytical and troubleshooting skills.

- Collaboration : Experience working in cross-functional teams.

- Project Management : Ability to manage and prioritize multiple projects.

Educational and Professional Background :

- Education : Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.

- Experience : Proven experience in data architecture or data engineering with successful implementations.

Preferred Qualifications :

- Certifications : AWS Certified Solutions Architect, Google Cloud Professional Data Engineer, Microsoft Certified: Azure Solutions Architect.

- Industry Knowledge : Familiarity with data challenges in retail, finance, or healthcare.

To apply, please submit your resume and a cover letter outlining your qualifications and experience. Cloud Destinations is an equal opportunity employer.

We celebrate diversity and are committed to creating an inclusive environment for all employees.

(ref:hirist.tech)

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