- Cloud Data Lead
Experience :- 10 to 16 Years
Job Type:- Full time
Work Location :- Bangalore (Hybrid)
Job Description:-
- As a Cloud Data Lead, he/she will oversee the design, implementation, and management of cloud-based data solutions. He/she will lead a team of data engineers and collaborate with stakeholders to ensure data is managed efficiently, securely, and is accessible for business intelligence and analytics.
Key Responsibilities:
- Design and Strategy: Develop and implement data architecture strategies that align with business goals. Design scalable and efficient data models and frameworks.
- Data Integration: Oversee the integration of data from various sources, including internal systems and external partners, ensuring seamless data flow and accessibility.
- Data Management: Implement best practices for data governance, quality, and security. Develop and enforce data management policies and standards.
- Analytics Support: Collaborate with data analysts and data scientists to support their needs, including providing data access and optimizing data pipelines for analysis.
- Technology Selection: Evaluate and recommend data technologies, tools, and platforms to enhance data management and analytics capabilities.
- Collaboration: Work closely with cross-functional teams including IT, business stakeholders, and data engineers to ensure data architecture meets organizational needs.
- Performance Optimization: Monitor and optimize data systems for performance, scalability, and reliability. Address and resolve data-related issues and bottlenecks.
- Documentation: Create and maintain comprehensive documentation of data architecture, including data flows, data models, and technical specifications.
Technical Skills:
Cloud Data
- In-depth knowledge of AWS services (IAM, Redshift, Step Functions)
- Proficiency in infrastructure as code (IaC) tools (like CloudFormation Stack)
- Knowledge of database technologies (SQL, NoSQL)
- Experience with data processing and analysis tools (AWS Glue, EMR)
Big Data Technologies
- Big Data Frameworks: Strong experience of Hadoop, Spark, or other big data processing frameworks.
ETL (Extract, Transform, Load) Processes
- ETL Tools: Experience with tools like IBM DataStage, ODI, Informatica, Talend, Microsoft SQL Server Integration Services (SSIS), Apache Nifi.
- Data Transformation: Skills in data cleansing, aggregation, and enrichment.
Data Warehousing Architecture
- Architecture Design: Understanding of data warehouse architecture, including staging, data integration, and presentation layers.
Collaboration and Communication Tools
- Collaboration Tools: Familiarity with tools like JIRA, Confluence for project management and team collaboration.
Interpersonal skills:
- Excellent communication and collaboration skills.
- Ability as part of a team.
- Strong problem-solving and analytical skills.
- Must have worked with US customers and should have provided at least 3-4 hours overlap with Pacific Time (PT)
Bonus points:
- Certifications in cloud platforms
