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Lead Data Engineer Job Opening In Gurugram – Now Hiring TransOrg Analytics


Job description

Location : Gurgaon/Mumbai

Job ID : DE2001

Job Type : Full time

Experience : 5-8 years

Why would you like to join us?

TransOrg Analytics, an award winning – Big Data and Predictive analytics- company, offers advanced analytics solutions to industry leaders and Fortune 500 companies across India, US, UK, Singapore and the Middle East.

Our products – Clonizo’ (customer cloning) have yielded significant incremental benefits to our clients.

We have been recognized by the CIO Review magazine as the – Predictive Analytics Company of the Year- and by TiE for excellence in entrepreneurship.

Overview

You will have to work with data to help the organization make better business decisions.

Using techniques from a range of disciplines, including computer programming, mathematics, and statistics to draw conclusions from data to describe, predict, and improve business performance.

Key Responsibilities

  • Analyzing data using statistical techniques and providing reports.
  • Developing and implementing databases and data collection systems.
  • Acquiring data from primary and secondary sources and maintain data systems.
  • Identifying, analyzing, and interpreting trends or patterns in complex data sets
  • Lead the Data Engineering through its next phase of growth.
  • Design/Implementation/Consulting experience of large-scale data solutions, including data Ingestion, Data Modelling, Design & Architecture.

    The projects may include development, deployment, and infrastructure with complexity around technology, cross-functional dependencies, and multiple stakeholders across various divisions and departments?
  • Identifying data sources
  • Collecting data, Sourcing missing data, Organizing data in to usable formats, Analyzing data to find answers to specific questions, Setting up data infrastructure, Developing, implementing and maintaining databases
  • Assessing quality of data and removing or cleaning data
  • Generating information and insights from data sets and identifying trends and patterns
  • Preparing reports for executive and project teams
  • Creating visualizations of data
  • A single point contact for all type of data and data related issues.

    Work closely with vendors, functional, operational, and technical teams across the business to understand their data needs and develop solutions that allow various functions to make data-informed decision.
  • Will be responsible for data consistency and accuracy in timely manner pertaining to all data providers/vendors.
  • Solid experience leading data teams in developing data fabric platforms.
  • Have an eye for Data Quality and understanding of data completeness.
  • Understanding different market data used in current business processes and the impact of making changes.
  • Ability to build scale and performance as part of development.
  • Ability to troubleshoot scale and performance issues, data validation issues
  • Expert in implementing security best practices.
  • Should know various tolls and techniques to ensure data is accurate and verified.
  • Develop, document, maintain and support nimble data solutions that are able to both provide ready access to existing data features and incorporate new features in a timely manner.
  • Develop the data roadmap using the most appropriate technologies and manage and expand in- house data teams to support growth.
  • Work cross-functionally across multiple locations so communication, collaboration, and organization are key to your success.
  • Automation of multi-step repetitive tasks.

Specific mandatory technical skills include

  • Relational Database and SQL and Oracle Language
  • Hands on experience on R or Python–Statistical Programming
  • Extraction, Transformation and Loading (ETL) (Microsoft SSIS)
  • Analytics / OLAP Cube Development (Microsoft SSAS and MDX)
  • Report Development (Microsoft SSRS)
  • Big Data, Hadoop and analytics knowledge
  • Data Warehouse knowledge
  • Problem-solving and troubleshooting.

What are the pre-requisites and skillsets required to apply for this role?

  • Strong knowledge & experience in Relational databases like Sybase, SQL Server and Oracle
  • Machine Learning & AI
  • Experience working with Visualization tools: Power BI, Tableau, Looker, Qlickview, etc
  • Basic domain knowledge of Mutual Funds.
  • Good analytical skills
  • Excellent communication skills – both written and verbal.

Qualifications

  • Bachelor’s degree in Computer Science, Information Systems, or equivalent education or work experience or B.Tech/B.E./MCA

Required Skill Profession

Computer Occupations


  • Job Details

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Unlock Your Lead Data Potential: Insight & Career Growth Guide


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

318059 Jobs in India
318059
4284 Jobs in Gurugram
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Download Lead Data Jobs Trends in Gurugram and India

Are You Looking for Lead Data Engineer Job?

Great news! is currently hiring and seeking a Lead 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 TransOrg Analytics 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 Lead 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 Lead Data Engineer?

Key qualifications for Lead 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 Lead Data Engineer?

To improve your chances of getting hired for Lead 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 Lead Data Engineer Job Success

TransOrg Analytics interview tips for Lead Data Engineer

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

Before the Interview:

Research: Learn about the TransOrg Analytics'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 Lead Data Engineer interview at TransOrg Analytics, 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 TransOrg Analytics'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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