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Senior Data Engineer - Spark/Hadoop Job Opening In Gurugram – Now Hiring Techmora


Job description

<p><p><b>Job Title : </b> Senior Data Engineer<br/><br/><b>Location : </b> Bangalore / Gurgaon<br/><br/><b>Employment Type : </b> Full-time<br/><br/><b>Experience : </b> 4 - 9 years<br/><br/><b>Notice Period : </b> 30 days<br/><b><br/></b></p><p><p><b>About the Role :</b></p><p><br/></p><p>We are looking for a Senior Data Engineer to design, build, and maintain robust data pipelines and scalable data infrastructure.

You will work closely with data scientists, analysts, and other engineering teams to ensure the availability, quality, and reliability of data across the organization.</p><p><br/><b>Key Responsibilities :</b></p></p><p><b> </b><br/>- Design, develop, and maintain scalable ETL/ELT pipelines for structured and unstructured data.</p><p><br/></p><p>- Build and optimize big data solutions using frameworks such as Hadoop and Spark.<br/><br/></p><p>- Implement and manage cloud-based data platforms (AWS, Azure, or GCP).<br/><br/></p><p>- Ensure data quality, integrity, and governance across multiple data sources.<br/><br/></p><p>- Optimize SQL queries and database performance for large-scale datasets.<br/><br/></p><p>- Collaborate with cross-functional teams to understand business requirements and translate </p><p>them into data engineering solutions.<br/><br/></p><p>- Automate workflows and improve the efficiency of data operations.<br/><br/></p><p>- Monitor, troubleshoot, and maintain data pipelines and infrastructure.<br/><br/><b>Required Skills & Qualifications :</b></p><p><br/></p><p>- 4 - 9 years of experience in data engineering or related roles.</p><p><br/>- Strong proficiency in SQL and Python.<br/><br/></p><p>- Hands-on experience with ETL/ELT processes and tools.<br/><br/></p><p>- Expertise in big data frameworks such as Hadoop, Spark.<br/><br/></p><p>- Experience with cloud platforms like AWS, Azure, or GCP.<br/><br/></p><p>- Good understanding of data modeling, data warehousing, and database design.<br/><br/></p><p>- Familiarity with CI/CD pipelines and version control systems (e.g., Git).<br/><br/></p><p>- Strong problem-solving, analytical, and communication skills.<br/><br/><b>Preferred Skills :</b></p><p><br/></p><p>- Knowledge of containerization technologies (Docker, Kubernetes).<br/><br/></p><p>- Experience with workflow orchestration tools (e.g., Airflow, Luigi).<br/><br/></p><p>- Exposure to real-time data streaming technologies (Kafka, Kinesis).<br/><br/></p><p>- Understanding of data security and governance best practices.<br/><br/><b>Why Join Us :</b></p><p><br/></p><p>- Opportunity to work with cutting-edge big data and cloud technologies.<br/><br/></p><p>- Dynamic and collaborative work environment.<br/><br/></p><p>- Competitive salary and growth opportunities.</p><br/></p> (ref:hirist.tech)

Required Skill Profession

Computer Occupations


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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 Gurugram, India, highlighting market share and opportunities for professionals in Senior Data roles.

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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 Techmora 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

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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.

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Techmora interview tips for Senior Data Engineer   Spark/Hadoop

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