ThoughtFocus | Cloud Engineer | bangalore

2 weeks ago

bangalore, India ThoughtFocus Full time
  • 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

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