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Staff Data Engineer Job Opening In Gurugram – Now Hiring ANSR Summit Consulting


Job description

Role and Responsibilities:

  • Participate in the entire data pipeline lifecycle, focusing on building data lakes, data warehouses and related processes
  • Contribute to the design and documentation of our data lake platform
  • Partner with Sr staff on the development and maintenance of data governance policies and procedures that ensure data quality, accuracy, consistency, and privacy.

  • Mentor other data engineers, providing technical guidance, and ensuring that team members have the necessary skills and resources to perform their duties.

  • Conduct code and design reviews with junior and peer developers
  • Write clean code to develop data pipelines and necessary infrastructure as code
  • Aid in setting coding standards for team members to follow
  • Partner with cross functional teams to understand requirements and effectively design appropriate solutions.

  • Monitor and troubleshoot performance, scalability, and security issues, making improvements as needed
  • Aid in determining and implementing KPIs for performance and stability of platform
  • Participate in the review of new technologies and tools for our data teams
  • Partner with engineering and other cross functional teams to collect and implement technical and design requirements
  • Communicate effectively with technical and non-technical team members to ensure alignment and successful execution of projects.

  • Participate in cross-functional initiatives, promoting a culture of data-driven decision-making and continuous improvement.

  • Participate in an on call rotation.
    Job Requirement :
  • 8 years of related experience; or 6 years and an advanced degree
  • Bachelors degree in engineering, computer science, math, data engineering or another related field or equivalent work experience
  • Experience in the development of modern data architecture, analytics, data governance, AI/ML, or related areas.

  • Strong Experience with AWS big data technologies including EMR, Glue, S3, EKS, Lambda, Athena, RDS, MKS/Kafka/Kinesis
  • Expertise with relational and NoSQL databases such as PostgresQL, Cassandra, DynamoDB, MongoDb etc and data modeling principles
  • Knowledge of data pipeline tools and workflow engines, e.g. Apache Airflow and Spark.

  • Experience with DevOps, including CI/CD pipelines, containerized deployment/Kubernetes, and infrastructure-as-code/AWS Cloud Formation/Terraform.

  • Successfully contributes to the entire development lifecycle of teams products
  • Exposure to secure coding practices, access controls, authentication, and audit.

    AWS Lake formation preferred.

  • Strong experience with SQL (SQL Server, Postgres) and Python, Scala
  • Identify opportunities for process improvement as well as efficiency in solutions
  • Demonstrated ability to mentor junior team members
  • Excellent analytical and time management skills, with a proven ability to deliver value independently
  • Strong written and verbal communication skills, with demonstrated experience providing technical input to technical and non-technical stakeholders
  • Ability to participate in on-call rotation

Preferred:

  • FinTech industry experience
  • Understanding of MPP Data Warehouse (Redshift, Greenplum)
  • Experience with Graph database

Required Skill Profession

Computer Occupations


  • Job Details

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Unlock Your Staff Data Potential: Insight & Career Growth Guide


Real-time Staff Data 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 Staff Data in Gurugram, India, highlighting market share and opportunities for professionals in Staff Data roles.

178761 Jobs in India
178761
2463 Jobs in Gurugram
2463
Download Staff Data Jobs Trends in Gurugram and India

Are You Looking for Staff Data Engineer Job?

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

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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 ANSR Summit Consulting 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 Staff Data Engineer 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.

What Are the Key Qualifications for Staff Data Engineer?

Key qualifications for Staff Data 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.

How Can I Improve My Chances of Getting Hired for Staff Data Engineer?

To improve your chances of getting hired for Staff Data Engineer, consider enhancing your skills. Check your CV/Résumé Score with our free Tool. We have an in-built Resume Scoring tool that gives you the matching score for each job based on your CV/Résumé once it is uploaded. This can help you align your CV/Résumé according to the job requirements and enhance your skills if needed.

Interview Tips for Staff Data Engineer Job Success

ANSR Summit Consulting interview tips for Staff Data Engineer

Here are some tips to help you prepare for and ace your Staff Data Engineer job interview:

Before the Interview:

Research: Learn about the ANSR Summit Consulting'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.

Ask Prepared Questions: Demonstrate curiosity and engagement with the role and company.

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

Additional Tips:

Be Yourself: Let your personality shine through while maintaining professionalism.

Be Honest: Don't exaggerate your skills or experience.

Be Positive: Focus on your strengths and accomplishments.

Body Language: Maintain good posture, avoid fidgeting, and make eye contact.

Turn Off Phone: Avoid distractions during the interview.

Final Thought:

To prepare for your Staff Data Engineer interview at ANSR Summit Consulting, 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 ANSR Summit Consulting'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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