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Senior Data Engineer Job Opening In Nagpur – Now Hiring USEReady


Job description

Designation: Senior Data Engineer

Location: India(Remote)


Roles and Responsibilities:

  • As a part of the Data Warehouse Team, implement technology improvements to Enterprise Data Warehouse environment.
  • In this role, you will be a key contributor to the implementation of Snowflake with DBT, as part of our Migration from Oracle to a cloud-based data warehousing.
  • Collaborate closely with cross-functional teams to design, develop, and optimize ELT processes within a cloud-based Data Warehouse environment.
  • Develop and maintain Fivetran data pipelines to ensure smooth data extraction and loading from various source systems into Snowflake.
  • Implement and enhance ETL programs using Informatica Power Center against the Data Warehouse and Adobe Campaign (Neolane) databases.
  • Contribute to technical architectural planning, digital data modeling, process flow documentation and the design and development of innovative Digital business solutions.
  • Create technical designs and mapping specifications.
  • Work with both technical staff and business constituents to translate Digital business requirements into technical solutions.
  • Estimate workload and participate in an Agile project team approach.
  • Proven individual contributor and team player with high communication skills.
  • Ability to lead, manage & validate workload for up to 2 offshore developers.
  • Provide on-call support of the Data Warehouse nightly processing.
  • Be an active participant in both technology and business initiatives.


Position Requirements & Qualifications:

  • At least 8 years of experience supporting Data Warehouse & Data related environments.
  • Conduct efficient data integration with other-third party tools and snowflake.
  • Hands on experience with snowflake development.
  • Familiarity with cloud-based Data Warehousing solutions, particularly Snowflake.
  • Advanced experience required in Informatica Power Center (5+ Years).
  • Ability to code in Python, JavaScript.
  • Knowledge of data governance practices and data security considerations in a cloud environment.
  • Experience in working with Web services using Informatica for external vendor data integration.
  • Experience in working with number of XML data sources & API Calls
  • Solid experience in performance tuning ETL Jobs & Database queries
  • Advanced Oracle & Snowflake database skills including packages, procedures, indexing and query tuning (5+ years).
  • Solid understanding of Data Warehouse design theory including dimensional data modeling
  • Working experience with cloud computing architecture.
  • Experience in working with Azure DevOps, Jira, TFS (Team Foundation Server) or other similar Agile Project Management tool.
  • Ability to thrive in change by having a fast, flexible, cooperative work style and ability to reprioritize at a moment’s notice.
  • Bachelor's degree required.

Required Skill Profession

Computer Occupations


  • Job Details

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Unlock Your Senior Data Potential: Insight & Career Growth Guide


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

514400 Jobs in India
514400
3145 Jobs in Nagpur
3145
Download Senior Data Jobs Trends in Nagpur and India

Are You Looking for Senior Data Engineer Job?

Great news! is currently hiring and seeking a Senior Data 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 USEReady 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 Senior Data Engineer Positions?

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

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Interview Tips for Senior Data Engineer Job Success

USEReady interview tips for Senior Data Engineer

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

Before the Interview:

Research: Learn about the USEReady'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.

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

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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 Senior Data Engineer interview at USEReady, 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 USEReady'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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