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Data Engineer SE - II Job Opening In Pune – Now Hiring Keywords Studios


Job description

We are on a mission to rid the world of bad customer service by “mobilizing” the way help is delivered.

Today’s consumers want an always-available customer service experience that leaves them feeling valued and respected.

Helpshift helps B2B brands deliver this modern customer service experience through a mobile-first approach.

We have changed how conversations take place, moving the conversation away from a slow, outdated email and desktop experience to an in-app chat experience that allows users to interact with brands in their own time.

Through our market-leading AI-powered chatbots and automation, we help brands deliver instant and rapid resolutions.

Because agents play a key role in delivering help, our platform gives agents superpowers with automation and AI that simply works.

Companies such as Scopely, Supercell, Brex, EA, Square along with hundreds of other leading brands use the Helpshift platform to mobilize customer service delivery.

Over 900 million active monthly consumers are enabled on 2B+ devices worldwide with Helpshift.

Some numbers that illustrate our scale:

85k/rps

30ms response time

300 GB data transfer/hour

1000 VMs deployed at peak

About the team -

Consumers care first and foremost about having their time valued by brands.

Brands need insights into their customer service operation to serve their consumers effectively.

Such insights and analytics are delivered through various data products like in-app analytics dashboards and data-sharing integrations. 

The data platform team is responsible for designing, building, and maintaining the data infrastructure that enables such data and analytics products at scale.

We build and manage data pipelines, databases, and other data structures to ensure that the data is reliable, accurate, and easily accessible.

We also enable internal stakeholders with business intelligence and machine learning teams with data ops.

This team manages the platform that handles 2 Million events per minute and processes 1+ terabytes of data daily.

About Role  - 

  • Building maintainable data pipelines both for data ingestion and operational analytics for data collected from 2 billion devices and 900M Monthly active users
  • Building customer-facing analytics products that deliver actionable insights and data, easily detect anomalies
  • Collaborating with data stakeholders to see what their data needs are and being a part of the analysis process
  • Write design specifications, test, deployment, and scaling plans for the data pipelines
  • Mentor people in the team & organization

Requirements

  • 3+ years of experience in building and running data pipelines that scale for TBs of data
  • Proficiency in high-level object-oriented programming language (Python or Java) is must
  • Experience in Cloud data platforms like Snowflake and AWS, EMR/Athena is a must
  • Experience in building modern data lakehouse architectures using Snowflake and columnar formats like Apache Iceberg/Hudi, Parquet, etc
  • Proficiency in Data modeling, SQL query profiling, and data warehousing skills is a must
  • Experience in distributed data processing engines like Apache Spark, Apache Flink, Datalfow/Apache Beam, etc
  • Knowledge of workflow orchestrators like Airflow, Dasgter, etc is a plus
  • Data visualization skills are a plus (PowerBI, Metabase, Tableau, Hex, Sigma, etc)
  • Excellent verbal and written communication skills
  • Bachelor’s Degree in Computer Science (or equivalent)

Benefits

  • Hybrid setup
  • Worker's insurance
  • Paid Time Offs
  • Other employee benefits to be discussed by our Talent Acquisition team in India.

Helpshift embraces diversity.

We are proud to be an equal opportunity workplace and do not discriminate on the basis of sex, race, color, age, sexual orientation, gender identity, religion, national origin, citizenship, marital status, veteran status, or disability status

Privacy Notice
By providing your information in this application, you understand that we will collect and process your information in accordance with our Applicant Privacy Notice.

For more information, please see our Applicant Privacy Notice at .

Required Skill Profession

Computer Occupations


  • Job Details

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Unlock Your Data Engineer Potential: Insight & Career Growth Guide


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

677895 Jobs in India
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Are You Looking for Data Engineer SE II Job?

Great news! is currently hiring and seeking a Data Engineer SE II 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 Keywords Studios 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 Data Engineer SE II Positions?

The average salary range for a varies, but the pay scale is rated "Standard" in Pune. 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 Data Engineer SE II?

Key qualifications for Data Engineer SE II 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 Data Engineer SE II?

To improve your chances of getting hired for Data Engineer SE II, 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 Data Engineer SE II Job Success

Keywords Studios interview tips for Data Engineer SE   II

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

Before the Interview:

Research: Learn about the Keywords Studios'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 Data Engineer SE II interview at Keywords Studios, 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 Keywords Studios'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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