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Responsive - ETL Specialist - Data Analytics Job Opening In Coimbatore – Now Hiring Responsive


Job description

<p><p><b>About the job :</b></p><p><br/></p><p>We are seeking a highly skilled ETL Specialist with expertise in building, maintaining, and optimizing data pipelines using Python scripting.<br/><br/> The ideal candidate will have experience working in a Linux environment, managing large-scale data ingestion, processing files in S3, and balancing disk space and warehouse storage efficiently.<br/><br/> This role will be responsible for ensuring seamless data movement across systems while maintaining performance, scalability, and reliability.<br/><br/><b>Key Responsibilities : </b><br/><br/>- ETL Pipeline Development : Design, develop, and maintain efficient ETL workflows using Python to extract, transform, and load data into structured data warehouses.<br/><br/>- Data Pipeline Optimization : Monitor and optimize data pipeline performance, ensuring scalability and reliability in handling large data volumes.<br/><br/>- Linux Server Management : Work in a Linux-based environment, executing command-line operations, managing processes, and troubleshooting system performance issues.<br/><br/>- File Handling & Storage Management : Efficiently manage data files in Amazon S3, ensuring proper storage organization, retrieval, and archiving of data.<br/><br/>- Disk Space & Warehouse Balancing : Proactively monitor and manage disk space usage, preventing storage bottlenecks and ensuring warehouse efficiency.<br/><br/>- Error Handling & Logging : Implement robust error-handling mechanisms and logging systems to monitor data pipeline health.<br/><br/>- Automation & Scheduling : Automate ETL processes using cron jobs, Airflow, or other workflow orchestration tools.<br/><br/>- Data Quality & Validation : Ensure data integrity and consistency by implementing validation checks and reconciliation processes.<br/><br/>- Security & Compliance : Follow best practices in data security, access control, and compliance while handling sensitive data.<br/><br/>- Collaboration with Teams : Work closely with data engineers, analysts, and product teams to align data processing with business needs.<br/><br/><b>Skills Required : </b><br/><br/>- Proficiency in Python : Strong hands-on experience in writing Python scripts for ETL processes.<br/><br/>- Linux Expertise : Experience working with Linux servers, command-line operations, and system performance tuning.<br/><br/>- Cloud Storage Management : Hands-on experience with Amazon S3, including handling file storage, retrieval, and lifecycle policies.<br/><br/>- Data Pipeline Management : Experience with ETL frameworks, data pipeline automation, and workflow scheduling (e.g., Apache Airflow, Luigi, or Prefect).<br/><br/>- SQL & Database Handling : Strong SQL skills for data extraction, transformation, and loading into relational databases and data warehouses.<br/><br/>- Disk Space & Storage Optimization : Ability to manage disk space efficiently, balancing usage across different systems.<br/><br/>- Error Handling & Debugging : Strong problem-solving skills to troubleshoot ETL failures, debug logs, and resolve data inconsistencies.<br/><br/><b>Nice to Have : </b><br/><br/>- Experience with cloud data warehouses (e.g., Snowflake, Redshift, BigQuery).<br/><br/>- Knowledge of message queues (Kafka, RabbitMQ) for data streaming.<br/><br/>- Familiarity with containerization tools (Docker, Kubernetes) for deployment.<br/><br/>- Exposure to infrastructure automation tools (Terraform, Ansible).<br/><br/><b>Qualifications : </b><br/><br/>- Bachelors degree in Computer Science, Data Engineering, or a related field.<br/><br/>- 3+ years of experience in ETL development, data pipeline management, or backend data engineering.<br/><br/>- Strong analytical mindset and ability to handle large-scale data processing efficiently.<br/><br/>- Ability to work independently in a fast-paced, product-driven environment</p><br/></p> (ref:hirist.tech)

Required Skill Profession

Computer Occupations


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Unlock Your Responsive ETL Potential: Insight & Career Growth Guide


Real-time Responsive ETL 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 Responsive ETL in Coimbatore, India, highlighting market share and opportunities for professionals in Responsive ETL roles.

5808 Jobs in India
5808
49 Jobs in Coimbatore
49
Download Responsive Etl Jobs Trends in Coimbatore and India

Are You Looking for Responsive ETL Specialist Data Analytics 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 Responsive 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 Responsive ETL Specialist Data Analytics Positions?

The average salary range for a varies, but the pay scale is rated "Standard" in Coimbatore. 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 Responsive ETL Specialist Data Analytics?

Key qualifications for Responsive ETL Specialist Data Analytics 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 Responsive ETL Specialist Data Analytics Job Success

Responsive interview tips for Responsive   ETL Specialist   Data Analytics

Here are some tips to help you prepare for and ace your Responsive ETL Specialist Data Analytics job interview:

Before the Interview:

Research: Learn about the Responsive'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 Responsive ETL Specialist Data Analytics interview at Responsive, 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 Responsive'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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