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DataOps Engineer

Company Description

We are Nifty Coders Pvt. Ltd., a leading provider of Enterprise-Grade Software Engineering Services for startups and corporates. As experts in DevOps & Infrastructure, Application Development, and Service Reliability Engineering (SRE), we deliver innovative, reliable, and scalable solutions that drive business success and digital transformation. 

Our commitment to excellence and industry best practices enables us to build high-quality, secure, and tailored software solutions that empower businesses to thrive. With a proven track record of successfully executing complex cloud migration and deployment automation projects, we are dedicated to helping our clients navigate the ever-evolving digital landscape, fostering long-term partnerships and growth. 

Job Description

We are seeking a passionate DataOps Engineer to join our dynamic engineering team. In this role, you will play a pivotal part in streamlining data workflows, optimizing data pipelines, and ensuring the reliability, scalability, and security of our data infrastructure. You will collaborate closely with our engineering and data teams to build automated, efficient, and resilient data systems that support business-critical applications and insights.  

Responsibilities: 

  • Participate in the implementation of complex interconnected microservices on the cloud. 
  • Develop strategies, processes, and tools to ensure manageable and efficient deployments. 
  • Plan and execute Datawarehouse maintenance, upgrades, and migrations in Dev, Stage, and Prod in a way that avoids downtime and service interruptions. 
  • Identify and remedy single points of failure and security risks. Continuously improve self-service tools and processes to improve data quality and data consistency. 
  • Manage databases, caching servers, message queues, centralized logging, etc.
  • Assist in maintaining tools and components of DevOps/DataOps platform including Kubernetes and AWS. Interface with external logging, monitoring, and security vendors. 

Qualifications

  • Years of Experience: 3-5 Years
  •  Education: BS/MS in Computer Science preferred but can be waived for exceptional candidates. 

Requirements:  

  • Maintaining SQL/NOSQL databases like MongoDB, PostgreSQL, and MySQL.  
  • Database Warehouse Management, running and troubleshooting data pipeline and monitoring like Snowflake, Databricks, Redshift. 
  • Experience with AWS Cloud, developing solution offerings for new and existing Cloud projects. Demonstrate good understanding of AWS Infrastructure Services like VPC, EC2, RDS, Redshift.  
  • Kubernetes experience, managing large scale Kubernetes clusters. Experience with maintaining and troubleshooting Kubernetes.
  • Terraform, a basic level of understanding to execute the terraform module to provision the infrastructure.
  • Infrastructure as Code Experience, demonstrate basic understanding of programming methodologies used to augment terraform using Python or bash, and related programming tools such as VS Code and Git.  
  • Certification in Database Engineering/Administration is preferred. 
  • Certification in any public cloud (AWS/Azure/GCP) is preferred.  

Additional Information

Work Hours: Sunday to Thursday: 10:00 AM – 7:00 PM

Work Model: Hybrid (Combination of remote work and in-office presence)  

Compensation and Benefits: 

Join a Workplace That Values You 

At Nifty Coders Pvt. Ltd., we celebrate innovation, collaboration, and the unique contributions each of our employees brings. We prioritize a work environment that encourages growth, well-being, and a healthy work-life balance. Here, you’ll be part of a team that values creativity, promotes flexibility, and empowers individuals to thrive.  

As part of our commitment to supporting you, we offer a range of benefits and perks designed to enhance your work experience: 

  • Competitive compensation plans
  • Two annual bonuses
  • Paid Maternity Leave (4 months) and Paternity Leave (5 working days)
  • Comprehensive medical insurance for you and your dependents.
  • Monthly and quarterly team-building events 
  • Transport allowance 
  • Mobile and internet allowance 
  • Subsidized daily lunch
  • A dynamic performance review process that fosters ongoing transparency between managers and team members 
  • Company-sponsored certifications programs for internal career growth and development 

At Nifty Coders, we foster a culture of collaboration, continuous learning, and innovation, ensuring that every employee has the opportunity to grow and succeed.  

Application Deadline: December 31, 2024 

 

What You Should Know About DataOps Engineer, Nifty Coders Pvt. Ltd.

At Nifty Coders Pvt. Ltd., we’re on the lookout for a talented DataOps Engineer to become an integral part of our vibrant engineering team. Based in Dhaka, Bangladesh, you’ll dive into the fast-paced world of enterprise-grade software engineering, playing a crucial role in streamlining our data workflows and optimizing data pipelines. Your expertise will help us ensure our data infrastructure is not only reliable but also highly scalable and secure. Working alongside dedicated engineering and data teams, you'll help automate and enhance resilient data systems, supporting our business-critical applications and driving insights. If you have 3-5 years of relevant experience and a passion for technology, particularly with cloud-based solutions like AWS, we want to hear from you! As a DataOps Engineer, you'll engage in implementing complex microservices on the cloud, maintain SQL and NoSQL databases, and tackle data warehouse management tasks. Your ability to identify and fix security risks will be vital, and your experience with Kubernetes, Terraform, and infrastructure as code will elevate our projects. Beyond technical skills, at Nifty Coders, we foster a thriving workplace where creativity, flexibility, and innovation are cherished. Join us, and not only will you work on exciting projects, but you’ll also enjoy competitive compensation packages, generous leave policies, and opportunities for personal and professional growth. If you're eager to make a real difference in the tech space, this is your chance!

Frequently Asked Questions (FAQs) for DataOps Engineer Role at Nifty Coders Pvt. Ltd.
What are the main responsibilities of a DataOps Engineer at Nifty Coders Pvt. Ltd.?

As a DataOps Engineer at Nifty Coders Pvt. Ltd., your main responsibilities include streamlining data workflows, optimizing data pipelines, and ensuring the reliability and security of our data infrastructure. You will collaborate with engineering teams to implement complex microservices on the cloud, manage databases, and continuously improve self-service tools for data consistency, all while keeping an eye on identifying and addressing security risks.

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What qualifications are required for the DataOps Engineer position at Nifty Coders?

To qualify for the DataOps Engineer role at Nifty Coders Pvt. Ltd., candidates typically should have 3-5 years of experience and a background in Computer Science, although exceptional candidates without specific degrees may be considered. Proficiency in SQL and NoSQL databases, cloud platforms like AWS, and experience with tools such as Kubernetes and Terraform are essential qualifications.

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How does Nifty Coders support the professional growth of its DataOps Engineers?

Nifty Coders Pvt. Ltd. is committed to the professional growth of its employees, including DataOps Engineers. The company offers company-sponsored certification programs, a dynamic performance review process that encourages transparency between team members and managers, and regular team-building events designed to foster collaboration and innovation.

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What is the work model for the DataOps Engineer position at Nifty Coders?

The DataOps Engineer position at Nifty Coders Pvt. Ltd. follows a hybrid work model, allowing for a combination of remote work and in-office presence. This flexibility enables you to balance your professional and personal life, enhancing your overall work experience.

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What are the work hours for the DataOps Engineer role at Nifty Coders?

The work hours for the DataOps Engineer position at Nifty Coders Pvt. Ltd. are from Sunday to Thursday, 10:00 AM to 7:00 PM. This schedule promotes a healthy work-life balance and ensures that you have ample time for both work and personal activities.

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Common Interview Questions for DataOps Engineer
Can you explain your experience with managing cloud-based data solutions?

When answering this question, it's crucial to mention specific cloud technologies you've worked with, such as AWS or Azure. Highlight any projects where you optimized data pipelines or ensured data integrity in high-availability environments. Discuss your approach in troubleshooting and improving cloud infrastructure, showcasing your problem-solving skills.

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How do you ensure the security of data within your pipelines?

In your response, emphasize the importance of data encryption, access controls, and regular audits. Discuss strategies you've implemented to identify and mitigate potential security risks and how you've collaborated with security teams to enhance overall data security practices.

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What strategies do you use for troubleshooting data pipeline issues?

When discussing your troubleshooting strategies, describe your systematic approach, including isolating the problem, checking logs, and using monitoring tools. Provide an example of a challenging issue you resolved and the impact it had on the project's success.

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How do you handle database migrations without causing downtime?

Explain your approach to planning and executing database migrations, preferably mentioning specific tools or methodologies. Discuss the importance of staging environments, rollback plans, and thorough testing to ensure a seamless migration process that avoids service interruptions.

Join Rise to see the full answer
What is your experience with Kubernetes and container orchestration?

In your answer, outline your familiarity with deploying applications on Kubernetes, managing cluster performance, and scaling containerized workloads. Share specific examples where you’ve resolved issues or optimized performance within Kubernetes environments.

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Can you describe a time when you improved a data workflow?

Use the STAR method (Situation, Task, Action, Result) to describe a specific scenario. Explain the initial challenges, what actions you took to improve the workflow, and the measurable outcomes that followed. This demonstrates your ability to deliver tangible results.

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What role does collaboration play in your work as a DataOps Engineer?

Highlight your experience working with cross-functional teams, emphasizing the importance of communication and collaboration in data-driven projects. Share examples where effective teamwork led to successful outcomes, showcasing your ability to foster strong working relationships.

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How do you approach learning and adapting to new technologies?

Discuss your commitment to continuous learning through workshops, online courses, or certification programs. Provide examples of how you’ve quickly adapted to new tools or technologies in the past, emphasizing your flexibility and eagerness to grow.

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What tools do you use for monitoring and logging in your data projects?

Mention specific monitoring and logging tools you've utilized, such as Prometheus for monitoring or ELK Stack for logging. Explain how you leverage these tools to gain insights into the performance and health of data pipelines, ensuring reliability and quick issue resolution.

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Why do you want to work as a DataOps Engineer at Nifty Coders?

Tailor your response to reflect your interest in Nifty Coders Pvt. Ltd. Highlight the company's commitment to innovation, collaboration, and professional development. Express your enthusiasm for contributing to their mission and discuss how your skills align with their goals.

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Nifty Coders started its journey as a software development company back in 2012. Since then we have been supporting hand picked companies and startups by developing & maintaining software products and... infrastructure solutions for them.

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Full-time, hybrid
DATE POSTED
December 2, 2024

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