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Data Engineer - Python/SQL/ETL Job Opening In Noida – Now Hiring DigitalCube Consultancy


Job description

<p><p><b>Job Description : </b><br/><br/><b>Job Title : </b> Data Engineer<br/><br/><b>Experience Required : </b> 3-6 Years<br/><br/><b>Responsibilities : </b></p><p><p><b><br/></b></p>- Design, develop, and maintain scalable data pipelines and ETL processes to collect, process, and store data from various sources.<br/><br/>- Work with Apache Spark to process large datasets in a distributed environment, ensuring optimal performance and scalability.<br/><br/>- Develop and optimize Spark jobs and data transformations using Scala for large-scale data processing.<br/><br/>- Collaborate with data analysts and other stakeholders to ensure data pipelines meet business and technical requirements.<br/><br/>- Integrate data from different sources (databases, APIs, cloud storage, etc.) into a unified data platform.<br/><br/>- Ensure data quality, consistency, and accuracy by building robust data validation and cleansing mechanisms.<br/><br/>- Use cloud platforms (AWS, Azure, or GCP) to deploy and manage data processing and storage solutions.<br/><br/>- Automate data workflows and tasks using appropriate tools and frameworks.<br/><br/>- Monitor and troubleshoot data pipeline performance, optimizing for efficiency and cost-effectiveness.<br/><br/>- Implement data security best practices, ensuring data privacy and compliance with industry standards.<br/><br/>- Stay updated with new data engineering tools and technologies to continuously improve the data infrastructure.<br/><br/><b>Requirements :</b></p><p><p><b><br/></b></p>- 4 to 6 years of experience required as a Data Engineer or an equivalent role<br/><br/>- Strong experience working with Apache Spark with Scala for distributed data processing and big data handling.<br/><br/>- Basic knowledge of Python and its application in Spark for writing efficient data transformations and processing jobs.<br/><br/>- Proficiency in SQL for querying and manipulating large datasets.<br/><br/>- Experience with cloud data platforms, preferably AWS (e.g., S3, EC2, EMR, Redshift) or other cloud-based solutions.<br/><br/>- Strong knowledge of data modeling, ETL processes, and data pipeline orchestration.<br/><br/>- Familiarity with containerization (Docker) and cloud-native tools for deploying data solutions.<br/><br/>- Knowledge of data warehousing concepts and experience with tools like AWS Redshift, Google BigQuery, or Snowflake is a plus.<br/><br/>- Experience with version control systems such as Git.<br/><br/>- Strong problem-solving abilities and a proactive approach to resolving technical challenges.<br/><br/>- Excellent communication skills and the ability to work collaboratively within cross-functional teams.<br/><br/><b>Preferred Qualifications :</b></p><p><p><b><br/></b></p>- Experience with additional programming languages like Python, Java, or Scala for data engineering tasks.<br/><br/>- Familiarity with orchestration tools like Apache Airflow, Luigi, or similar frameworks.<br/><br/>- Basic understanding of data governance, security practices, and compliance regulations.</p><br/></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 Noida, India, highlighting market share and opportunities for professionals in Data Engineer roles.

676344 Jobs in India
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6608 Jobs in Noida
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Are You Looking for Data Engineer Python/SQL/ETL Job?

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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 DigitalCube Consultancy 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 Python/SQL/ETL Positions?

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

Key qualifications for Data Engineer Python/SQL/ETL 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 Data Engineer Python/SQL/ETL Job Success

DigitalCube Consultancy interview tips for Data Engineer   Python/SQL/ETL

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

Before the Interview:

Research: Learn about the DigitalCube Consultancy'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.

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Plan Your Commute: Allow ample time to arrive on time and avoid feeling rushed.

During the Interview:

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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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Final Thought:

To prepare for your Data Engineer Python/SQL/ETL interview at DigitalCube Consultancy, 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 DigitalCube Consultancy'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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