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Senior Engineering Manager: Big Data Diversity Job Opening In Gurugram – Now Hiring Questhiring


Job description

As an Engineering Manager, you will ensure consistency and quality by shaping the right strategies.

You will keep an eye on all engineering projects and ensure all duties are fulfilled.

You will also act as an Architect for this team and will be responsible for design and long-term roadmap.

You will analyse other employees tasks and carry on collaborations effectively.


Responsibilities:

  • You will lead a team and build systems that solve complex business problems at scale.
  • Work closely with product managers to understand customer needs and translate
  • those into technical requirements.
  • Build and maintain scalable data management and serving infrastructure on cloud,
  • managing terabytes of data and integrating cost.
  • You will be able to build, lead and manage a rockstar team.
  • You will be responsible for end-to-end ownership of the engineering process.
  • Design a comprehensive target data architecture vision working closely with product,
  • design and development and NatCo teams to plan transition towards the target vision
  • Responsible for implementation of architecture concepts in product development and
  • services
  • Consult and engage with engineering teams to solve problems at their root cause
  • Create deliverables that provide exceptional clarity and connections to business objectives
  • Assess emerging technologies and perform proof of concepts
  • Collaborate with product teams, design teams, NatCOs, enterprise architects and
  • provide optimized solutions that provide business outcomes
  • Provide strategic direction and technical oversight pertaining to the implementation of
  • new tools, technologies and solutions
  • Set the strategic roadmap and develop development processes and strategies.
  • Implement products and features to enhance the product suite.


Data Specialization

  • Comprehensive and expert knowledge with more than 7 years of Data Management and Data-Architectures (DWH, Spark, Lakehouse) and overall exp of 12-15 yrs.

  • Deep understanding of concepts and principles relating to both Batch and Streaming data, as well as API/Microservices architectures, Data warehouses & Mesh Architectures.
  • Strong expertise in Big Data Applications, Architecture best practices, and experience with the pitfalls of legacy Data Warehouses and Big Data platforms.
  • Al exposure and an excellent understanding of the decision engine concepts and how to best implement MLOps within an enterprise.
  • Rich and comprehensive experience in understanding the impact of emerging trends on the organization in data tools, analysis techniques, and data usage.
  • Experience in software engineering and programming languages (Java, Scala).
  • Proven track record of working with globally federated IT teams, and understands the
  • challenges involved, but can still bring teams and people together to deliver a shared
  • outcome.
  • Data Modelling experience (e.g., Information framework SID, Data Vault 2.0)


Security and Regulatory Regiour

  • Experienced in implementing solutions that protect sensitive and regulated Customer data and can define technically secure and regulatory sound solutions.
  • Experienced in dealing with Security Architecture concepts like identity and access management, network isolation, transport protection, cloud security specifics, encryption & key management, and robust knowledge of data privacy treatment techniques.


Strong Intrapersonal Skills

  • Being able and motivated to facilitate difficult discussions within the team or with diverse senior stakeholders
  • Resilient, able to adapt both her-/himself and teams to changing environments and business situations
  • Extensive and long-term experience in multicultural environments and fast-moving, highly competitive markets
  • Should be able to explain complex topics in crisp, simple language to top management
  • Great communicator to both the virtual architect teams but also all relevant internal stakeholders and sponsors within Client's AG and NatCos
  • Profound experience in working in cross-functional teams and multicultural settings.
  • Strong community engagement Strong track record working in virtual settings across
  • globally distributed teams.


Required Skill Profession

Operations Specialties Managers


  • Job Details

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Unlock Your Senior Engineering Potential: Insight & Career Growth Guide


Real-time Senior Engineering Jobs Trends (Graphical Representation)

Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph here. Uncover the dynamic job market trends for Senior Engineering in Gurugram, India, highlighting market share and opportunities for professionals in Senior Engineering roles.

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6876 Jobs in Gurugram
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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 Questhiring adheres to the cultural norms as outlined by Expertini.

The fundamental ethical values are:

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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 Senior Engineering Manager: Big Data Diversity Positions?

The average salary range for a varies, but the pay scale is rated "Standard" in Gurugram. 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.

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Key qualifications for Senior Engineering Manager: Big Data Diversity typically include Operations Specialties Managers 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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Questhiring interview tips for Senior Engineering Manager: Big Data Diversity

Here are some tips to help you prepare for and ace your Senior Engineering Manager: Big Data Diversity job interview:

Before the Interview:

Research: Learn about the Questhiring'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.

Prepare Questions: Show your interest by having thoughtful questions for the interviewer.

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.

Confidence and Enthusiasm: Project a positive attitude and show your genuine interest in the opportunity.

Answer Thoughtfully: Listen carefully, take a moment to formulate clear and concise responses. Highlight relevant skills and experiences using the STAR method.

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Follow Up: Send a thank-you email to the interviewer within 24 hours.

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Turn Off Phone: Avoid distractions during the interview.

Final Thought:

To prepare for your Senior Engineering Manager: Big Data Diversity interview at Questhiring, 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 Questhiring'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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