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Sr. Analytics Engineer Job Opening In Bengaluru – Now Hiring Blue Yonder


Job description

Scope:

  • We are seeking an experienced Senior Analytics Engineer to join our data team and drive the design, implementation, and maintenance of our data architecture and semantic layers.

    This role combines deep technical expertise in data modeling with strategic thinking about how data can best serve our organization's analytical needs.

    The ideal candidate will have extensive experience with modern data stack technologies and a proven track record of building scalable, AI-ready data architectures.
  • Our Current Technical Environment:

  • Data Architecture: Deep knowledge of dimensional modeling principles and Kimball methodology
  • SQL: Expert-level SQL skills with ability to write complex queries and optimize performance
  • Cloud Platforms: Extensive experience with Databricks or Snowflake (experience with both preferred)
  • Semantic Layers: Strong understanding of semantic layer concepts and architectures; hands-on experience highly preferred
  • Documentation: Proven ability and willingness to create and maintain technical documentation
  • What you’ll do:

  • Data Architecture & Modeling
  • Design and implement dimensional data models following Kimball methodology and best practices
  • Plan, create, and execute comprehensive data architecture strategies that support both current and future analytical needs
  • Build and maintain robust semantic layers that enable self-service, BI and analytics, and AI across the organization
  • Ensure data architectures are optimized for AI and machine learning applications
  • Technical Implementation:
  • Develop and maintain complex SQL queries, data pipelines, and data transformations using Databricks notebooks and workflows
  • Work extensively with Databricks platform to build scalable data solutions, including Delta Lake, Unity Catalog, and Databricks SQL
  • Utilize Python for data processing, automation, and advanced analytics workflows within Databricks environments
  • Implement data quality checks and monitoring systems using Databricks pipelines
  • Documentation & Governance:
  • Create and maintain comprehensive documentation for data models, semantic layers, and architectural decisions
  • Establish and enforce data governance standards and best practices
  • Work directly with business stakeholders and BI developers to design data architectures that meet analytical and reporting needs
  • Collaborate cross-functionally to ensure data architecture aligns with business requirements and technical constraints
  • Strategic Planning & Execution:
  • Lead cross-functional projects to deliver data solutions that drive business value
  • Mentor junior team members and contribute to the growth of the data engineering practice
  • Stay current with emerging technologies and industry best practices in data architecture
  • What we are looking for:

  • Experienced 9+ years of professional with 5+ years of experience in analytics engineering, data engineering, or related field
  • Proven track record of designing and implementing data architectures at scale
  • Experience planning and executing complex data projects from conception to delivery
  • Strong understanding of data warehouse design patterns and best practices
  • Programming: Python experience for data processing and automation
  • AI/ML Architecture: Experience designing data architectures optimized for AI and machine learning workloads (significant advantage)
  • Semantic Layer Tools: Hands-on experience with semantic layer tools (huge advantage) - priority on AtScale, but experience with any semantic layer tool such as Cube, MetricFlow, LookML, Tableau Semantic Layer, or PowerBI Semantic Model highly valued
  • Modern Data Stack: Familiarity with additional tools in the modern data ecosystem (dbt, Fivetran, Looker, etc.)
  • Industry Experience: Previous experience in [relevant industry if applicable]
  • Location: India-based role with ability to work evening hours (IST) to ensure overlap with US-based teams
  • Communication: Excellent written and verbal communication skills in English - ability to clearly articulate technical concepts to both technical and business stakeholders
  • Collaboration: Experience working effectively in distributed, cross-timezone teams
  • Our Values


    If you want to know the heart of a company, take a look at their values.

    Ours unite us.

    They are what drive our success – and the success of our customers.

    Does your heart beat like ours?

    Find out here: Core Values

    All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.

    Required Skill Profession

    Computer Occupations


    • Job Details

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    Unlock Your Sr Analytics Potential: Insight & Career Growth Guide


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    Are You Looking for Sr. Analytics Engineer Job?

    Great news! is currently hiring and seeking a Sr. Analytics Engineer to join their team. Feel free to download the job details.

    Wait no longer! Are you also interested in exploring similar jobs? Search now: .

    The Work Culture

    An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Blue Yonder adheres to the cultural norms as outlined by Expertini.

    The fundamental ethical values are:

    1. Independence

    2. Loyalty

    3. Impartiapty

    4. Integrity

    5. Accountabipty

    6. Respect for human rights

    7. Obeying India laws and regulations

    What Is the Average Salary Range for Sr. Analytics Engineer Positions?

    The average salary range for a varies, but the pay scale is rated "Standard" in Bengaluru. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

    What Are the Key Qualifications for Sr. Analytics Engineer?

    Key qualifications for Sr. Analytics Engineer typically include Computer Occupations and a list of qualifications and expertise as mentioned in the job specification. The generic skills are mostly outlined by the . Be sure to check the specific job listing for detailed requirements and qualifications.

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    Interview Tips for Sr. Analytics Engineer Job Success

    Blue Yonder interview tips for Sr. Analytics Engineer

    Here are some tips to help you prepare for and ace your Sr. Analytics Engineer job interview:

    Before the Interview:

    Research: Learn about the Blue Yonder's mission, values, products, and the specific job requirements and get further information about

    Other Openings

    Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.

    Dress Professionally: Choose attire appropriate for the company culture.

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    Plan Your Commute: Allow ample time to arrive on time and avoid feeling rushed.

    During the Interview:

    Be Punctual: Arrive on time to demonstrate professionalism and respect.

    Make a Great First Impression: Greet the interviewer with a handshake, smile, and eye contact.

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    Final Thought:

    To prepare for your Sr. Analytics Engineer interview at Blue Yonder, research the company, understand the job requirements, and practice common interview questions.

    Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the Blue Yonder's products or services and be prepared to discuss how you can contribute to their success.

    By following these tips, you can increase your chances of making a positive impression and landing the job!

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