Remote Data Engineer

Company: Naukri Mitra
Employment Type: Remote, Full-Time
Annual Salary: $129,716

About Us:
Naukri Mitra is a leading recruitment firm that connects exceptional talent with outstanding opportunities. We are committed to bridging the gap between skilled professionals and organizations striving for innovation and success. We seek a highly motivated and experienced Remote Data Engineer for one of our trusted clients. This role offers an excellent opportunity to work with cutting-edge technologies, drive impactful data solutions, and enjoy the flexibility of remote work.

Position Overview:
The Remote Data Engineer will design, develop, and maintain robust data pipelines and architectures to support analytics and business intelligence needs. This role requires a deep understanding of data engineering principles, cloud platforms, and database systems. The ideal candidate is a problem-solver who thrives in a dynamic, remote work environment and is passionate about using data to deliver insights and improve decision-making.

Key Responsibilities:

1. Data Pipeline Development:
   • Design, build, and optimize scalable data pipelines to collect, process, and transform raw data into usable formats for analytics.
   • Automate workflows for extracting, transforming, and loading (ETL) data across diverse systems.
   • Monitor and troubleshoot pipeline performance to ensure reliability and efficiency.
2. Database Management:
   • Develop and maintain data storage solutions, including relational databases, data warehouses, and cloud storage systems.
   • Optimize database performance by implementing indexing, partitioning, and other advanced techniques.
   • Ensure data integrity and security in all database systems.
3. Cloud Infrastructure:
   • Leverage cloud platforms such as AWS, Azure, or Google Cloud for data storage, processing, and deployment.
   • Implement and manage cloud-based data solutions, including serverless architectures and distributed systems.
   • Monitor cloud infrastructure to ensure scalability, cost efficiency, and compliance with best practices.
4. Collaboration and Integration:
   • Collaborate with data scientists, analysts, and business stakeholders to understand data requirements and deliver solutions.
   • Integrate data from various sources, such as APIs, third-party services, and on-premise systems.
   • Facilitate seamless communication between engineering teams and business units to align project objectives.
5. Data Governance and Security:
   • Establish data governance standards and ensure compliance with regulatory requirements.
   • Implement robust security measures to protect sensitive data from unauthorized access or breaches.
   • Conduct regular audits of data systems to identify and address potential vulnerabilities.
6. Performance Optimization:
   • Analyze system performance and identify bottlenecks in data processing pipelines.
   • Fine-tune algorithms and frameworks to enhance processing speed and resource utilization.
   • Implement solutions to reduce data latency and improve query performance.
7. Documentation and Best Practices:
   • Maintain comprehensive documentation for data systems, pipelines, and workflows.
   • Establish and promote best practices for data engineering within the organization.
   • Train team members on tools, technologies, and processes to ensure alignment and knowledge sharing.

Skills and Qualifications:

• Bachelor’s or master’s degree in Computer Science, Data Engineering, or a related field.
• Proven experience in data engineering with a focus on building and managing data pipelines and architectures.
• Proficiency in programming languages such as Python, Java, or Scala.
• Hands-on experience with database systems, including SQL and NoSQL databases.
• Expertise in cloud platforms such as AWS, Azure, or Google Cloud, including services like S3, Redshift, BigQuery, or Databricks.
• Strong knowledge of data processing frameworks like Apache Spark, Hadoop, or Kafka.
• Familiarity with containerization technologies like Docker and orchestration tools such as Kubernetes is a plus.
• Exceptional problem-solving and analytical skills, with attention to detail.
• Excellent communication and collaboration abilities to work effectively in a remote team environment.

What We Offer:

• A competitive annual salary of $129,716.
• The flexibility to work remotely from any location provides a better work-life balance.
• Opportunities for professional growth and development, including access to the latest tools and technologies.
• A collaborative and inclusive work culture that values innovation and creativity.
• The chance to work on impactful projects that make a real difference in organizational success.

Who Should Apply?

This role is ideal for data engineering professionals passionate about creating efficient data systems and driving innovation through technology. We encourage you to apply if you excel in solving complex data challenges, deeply understand cloud-based solutions, and enjoy collaborating with diverse teams in a remote environment.

Join Naukri Mitra and take the next step in your career as a Remote Data Engineer. Your expertise will play a pivotal role in shaping the future of data-driven decision-making within the organization.