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Data Analyst

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Onsite

Data Analyst

MS Guide World

Data Analyst

Skills

TableauDockerPythonData VisualizationBootstrapNumPypandasGitGitLabData AnalysisLinuxKubernetesJavascript

2 years ago

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Important information


Contract type:

Permanent

Location:

Bengaluru, Karnataka, India

Work mode:

Onsite

Published on:

15 October 2026

What they need


Job highlights

  • Qualifications: . Education : Bachelor s or Master s degree in Computer Science
  • Experience : 5+ years of relevant experience in architecting,designing,developing,and maintaining data warehouses / data lakes for complex data ecosystems. Must-have Skills: . Python : Extensive experience in data manipulation using libraries such as pandas,OpenPyXL,numpy,etc

Client is seeking a highly skilled professional to join our team in building cutting-edge cloud-based data platforms. As an integral member of the team, you will support initiatives for data platform development, reporting, and analytics. Your expertise will help turn raw data into valuable insights, driving business results. You will collaborate closely with team members and IT to design and implement data solutions, taking into account data sources, locations, and use cases. Your work will involve working with data tools used in testing semiconductor chips, boards, systems, and servers. Additionally, you will be responsible for processing logs into data platforms, conducting analytics, and creating custom visualizations for large-scale data analysis.

Responsibilities:

  • Architect, design, develop, and maintain data warehouses and data lakes within complex data ecosystems.

  • Work with various data sources, ensuring seamless integration into cloud-based data platforms.

  • Collaborate with team members and IT to develop effective cloud and data designs based on project requirements.

  • Process and analyze logs, converting them into actionable data insights and visualizations.

  • Develop custom visualizations and dashboards for large-scale data analysis and reporting.

  • Leverage data tools for testing semiconductor components, enhancing data-driven decision-making processes.

Qualifications:

  • Education : Bachelor s or Master s degree in Computer Science.

  • Experience : 5+ years of relevant experience in architecting, designing, developing, and maintaining data warehouses/data lakes for complex data ecosystems.

Must-have Skills:

  • Python : Extensive experience in data manipulation using libraries such as pandas, OpenPyXL, numpy, etc.

  • Database Knowledge : Familiarity with relational databases and their management.

  • Operating Systems : Experience developing on both Windows and Linux environments.

  • Version Control : Proficiency with GitLab for version control and collaborative development.

  • Data Visualization & Charting : Expertise in charting and GUI development using tools such as Plotly, Dash, D3.js, Bootstrap, Matplotlib, JMP Live, Tableau.

  • Javascript : Strong knowledge of JavaScript for developing custom visualizations and user interfaces.

Nice-to-have Skills:

  • Knowledge of semiconductor manufacturing processes and related testing methods.

  • Familiarity with containerization technologies like Kubernetes and Docker.

  • Experience with Perforce for version control.

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