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Data Engineer - Spark/Python Job Opening In Bengaluru – Now Hiring Worksconsultancy


Job description

<p>Job Description : <br/></p><p><br/></p><p>- 5-10 years of meaningful experience in data engineering working on building ETL pipelines, big data tech like spark.<br/><br/>- Very good expertise in algorithms and data structures<br/><br/>- Excellent in at least one programming language: Python, Go, R<br/><br/>- Hands-on expertise big data technologies such as Apache Spark, Hadoop, message queues(Kafka), Apache Airflow, Azure ML, Elastic Search<br/><br/>- Databases: Hands-on expertise in data modeling, database schema definition, query optimization, usage of relevant data stores (blob storage, data warehouse, MongoDB, Timescale DB),<br/><br/>- Hands-on expertise working on analytics platforms such as Azure synapse or equivalent<br/><br/>- Good understanding of performance analysis and optimizations<br/><br/>- Hands-on experience in at least one cloud platform - Azure(preferred), AWS, or GCP<br/><br/>- B.E/B.Tech/M.E/M.Tech/M.S in Computer/Electronics Engineering or equivalent degrees with experience<br/><br/></p><p>Nice to have : <br/><br/>- Knowledge of data visualization tools such as Power BI, Tableau<br/><br/>- Working knowledge of the "Internet of Things" desired<br/><br/></p><p>- Knowledge of internet-scale cloud-based distributed systems<br/><br/>- Good understanding of MQTT, Web Sockets, Azure Service Bus, Apache Pulsar<br/><br/>- Good knowledge of Domain-Driven Design, Test Driven Development<br/><br/>- Experience developing in an Agile / SCRUM Environment<br/><br/></p><p>Soft skills : <br/><br/>- Self-driven, results-oriented, collaborative, comfortable with a fast-paced, always-on, highly ambiguous start-up like environment<br/><br/>- Good with rapid problem solving, a solid technical background, and a passion for continuous learning and improvement<br/><br/>- Good verbal and written communication skills</p> (ref:hirist.tech)

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 Bengaluru, India, highlighting market share and opportunities for professionals in Data Engineer roles.

676344 Jobs in India
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51087 Jobs in Bengaluru
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Are You Looking for Data Engineer Spark/Python Job?

Great news! is currently hiring and seeking a Data Engineer Spark/Python 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 Worksconsultancy 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 Spark/Python Positions?

The average salary range for a varies, but the pay scale is rated "Standard" in Bengaluru. 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 Spark/Python?

Key qualifications for Data Engineer Spark/Python 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 Spark/Python?

To improve your chances of getting hired for Data Engineer Spark/Python, 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 Spark/Python Job Success

Worksconsultancy interview tips for Data Engineer   Spark/Python

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

Before the Interview:

Research: Learn about the Worksconsultancy'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 Spark/Python interview at Worksconsultancy, 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 Worksconsultancy'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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