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Senior Data Engineer Job Opening In Not Specified – Now Hiring Koantek


Job description

We are seeking an experienced Databricks Full Stack Data Engineer with 5-6 years of industry

experience.

The ideal candidate will have a proven track record of working on live projects,

preferably within the manufacturing or energy sectors.

He/she will play a key role in developing

and maintaining scalable data solutions using Databricks and related technologies.


Key Responsibilities:

Develop, and deploy end-to-end data pipelines and solutions on Databricks, integrating with

various data sources and systems.

Collaborate with cross-functional teams to understand data, and deliver effective BI

solutions.

Implement data ingestion, transformation, and processing workflows using Spark

(PySpark/Scala), SQL and Databricks notebooks.

Develop and maintain data models, ETL/ELT processes, ensuring high performance,

reliability, scalability, and data quality.

Build and maintain APIs and data services to support analytics, reporting, and application integration.

Ensure data quality, integrity, and security across all stages of the data lifecycle.

Monitor, troubleshoot, and optimize pipeline performance in a cloud-based environment.

Write clean, modular, and well-documented Python/Scala/SQL/PySpark code.

Integrate data from various sources, including APIs, relational and non-relational databases, IoT devices, and external data providers.

Ensure adherence to data governance, security, and compliance policies.


Required Skills and Experience:

Bachelor's or Master's degree in Computer Science, Engineering, or a related field.

5-6 years of hands-on experience in data engineering, with a strong focus on Databricks and Apache Spark.

Strong programming skills in Python/PySpark and/or Scala, with a deep understanding of Apache Spark.

Experience with Azure Databricks.

Strong SQL skills for data manipulation, analysis, and performance tuning.

Strong understanding of data structures and algorithms, with the ability to apply them to optimize code and implement efficient solutions.

Strong understanding of data architecture, data modeling, ETL/ELT processes, and data warehousing concepts.

Experience building and maintaining ETL/ELT pipelines in production environments.

Familiarity with Delta Lake, Unity Catalog, or similar technologies.

Experience working with structured and unstructured data, including JSON, Parquet, Avro, and time-series data.

Familiarity with CI/CD pipelines and tools like Azure DevOps, version control (Git), and

DevOps practices for data engineering.

Excellent problem-solving skills, attention to detail, and ability to work independently or as part of a team.

Strong communication skills to interact with technical and non-technical stakeholders.


Preferred Qualifications:

Experience with Delta Lake and Databricks Workflows.

Exposure to real-time data processing and streaming technologies (Kafka, Spark Streaming).

Exposure to the data visualization tool Databricks Genie for data analysis and reporting.

Knowledge of data governance, security, and compliance best practices.

Required Skill Profession

I.t. & Communications


  • 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 Not Specified, India, highlighting market share and opportunities for professionals in Senior Data roles.

534420 Jobs in India
534420
38 Jobs in Not Specified
38
Download Senior Data Jobs Trends in Not Specified 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 Koantek 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 Not Specified. 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 Senior Data Engineer?

Key qualifications for Senior Data Engineer typically include I.t. & Communications 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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To improve your chances of getting hired for Senior 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 Senior Data Engineer Job Success

Koantek 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 Koantek'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.

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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 Koantek, 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 Koantek'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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