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Senior Data Engineer

Devsinc is seeking a talented Senior Data Engineer to join our dynamic team. The ideal candidate will possess a deep understanding of data architecture and engineering principles, along with hands-on experience in developing, optimizing, and maintaining data pipelines and databases. This role is crucial to support our data-driven initiatives and to enhance the efficiency of our analytical capabilities.

Responsibilities:

  • Design, develop, and maintain scalable data processing systems and data pipelines to facilitate the collection, storage, and analysis of large data sets.
  • Collaborate with data scientists, analysts, and other engineers to understand data requirements and architecture needs, and to ensure data is accessible and reliable.
  • Optimize data storage and retrieval performance while ensuring data integrity and security.
  • Implement ETL (Extract, Transform, Terraform, Load) processes and automate data workflows to improve efficiency and accuracy.
  • Monitor and troubleshoot data pipeline performance, addressing issues as they arise to minimize downtime.
  • Maintain documentation for the data architecture, processes, and workflows to ensure smooth collaboration and knowledge transfer within the team.
  • Stay updated on emerging technologies and best practices in data engineering and contribute to the continuous improvement of data processes and systems.
  • Bachelor's or master's degree in Computer Science, Engineering, or a related field.
  • 3+ years of experience in data engineering, data warehousing, or a related field.
  • Strong proficiency in SQL and experience with NoSQL databases (e.g., MongoDB, Cassandra).
  • Expertise in programming languages such as Python, Java, or Scala.
  • Hands-on experience with big data technologies (e.g., Apache Hadoop, Spark, Kafka).
  • Experience with cloud platforms (AWS, Azure, or GCP), including data storage solutions like S3, Redshift, or BigQuery.
  • Understanding of data modeling, ETL concepts, and data pipeline automation tools.
  • Demonstrated problem-solving skills and the ability to work effectively in a fast-paced, collaborative environment.
  • Excellent communication skills, with at least 2 years of international client communication experience.
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Average salary estimate

$135000 / YEARLY (est.)
min
max
$120000K
$150000K

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What You Should Know About Senior Data Engineer, Devsinc

At Devsinc, we’re on the hunt for an exceptional Senior Data Engineer to join our innovative team! If you’re someone who thrives in a fast-paced environment and has a genuine passion for data architecture and engineering principles, we’d love to hear from you. In this role, you’ll be the backbone of our data-driven initiatives, designing and optimizing scalable data processing systems and pipelines that make a real difference. You’ll work closely with talented data scientists, analysts, and fellow engineers to understand their data needs, ensuring that our systems deliver reliable and accessible data consistently. Your expertise will help us automate ETL processes, enhance data integrity and security, and troubleshoot any performance hiccups in our data pipelines. We value documentation as much as execution, so you will maintain clear records of our architecture and processes to facilitate smooth collaboration. With your strong background in SQL, programming languages like Python or Java, and familiarity with big data technologies such as Apache Hadoop and Spark, you’ll be positioned to positively impact our data strategies. A degree in Computer Science or a related field, along with at least three years of relevant experience, is essential. If you're a problem solver who enjoys tackling challenges head-on and has great communication skills, especially in international client settings, this could be the perfect opportunity for you. Join us at Devsinc and be a key player in driving our data capabilities forward!

Frequently Asked Questions (FAQs) for Senior Data Engineer Role at Devsinc
What are the primary responsibilities of a Senior Data Engineer at Devsinc?

As a Senior Data Engineer at Devsinc, your main responsibilities include designing, developing, and maintaining scalable data processing systems and pipelines. You will collaborate with data scientists and analysts to understand their data needs, optimize data storage and performance, and implement ETL processes. Additionally, you will monitor data pipeline performance and document all architecture and workflows to ensure seamless teamwork.

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What qualifications do I need to apply for the Senior Data Engineer position at Devsinc?

To be considered for the Senior Data Engineer role at Devsinc, you should have a bachelor's or master's degree in Computer Science, Engineering, or a related field. You’ll need at least three years of experience in data engineering or data warehousing, as well as strong proficiency in SQL and hands-on experience with NoSQL databases and big data technologies.

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What programming languages should a Senior Data Engineer at Devsinc be familiar with?

A successful Senior Data Engineer at Devsinc should have expertise in programming languages such as Python, Java, or Scala. These skills are essential for developing and optimizing data pipelines and ensuring efficient data processing and storage solutions.

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How important is cloud experience for the Senior Data Engineer position at Devsinc?

Cloud experience is highly important for the Senior Data Engineer role at Devsinc. Familiarity with cloud platforms like AWS, Azure, or GCP, along with knowledge of data storage solutions such as S3, Redshift, or BigQuery, is crucial to support our data architecture and initiatives effectively.

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What qualities make a Senior Data Engineer successful at Devsinc?

A successful Senior Data Engineer at Devsinc possesses strong problem-solving skills, excellent communication abilities, and a collaborative mindset. Being proactive in automating data workflows and staying updated on emerging technologies will also contribute significantly to your success in this role.

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Common Interview Questions for Senior Data Engineer
Can you explain your experience with data pipeline development?

In responding to this question, highlight specific projects where you've designed and developed data pipelines. Discuss the technologies used and how your contributions improved data processing efficiency.

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What programming languages are you most comfortable with as a Data Engineer?

Be honest about your skills. If Python is your strength, explain how you’ve used it in data engineering tasks. Mention relevant frameworks or libraries that support your coding proficiency.

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How do you optimize data storage in large-scale systems?

Detail your strategies, such as data partitioning, indexing, and choosing the right database technologies for specific use cases. Be prepared to give examples of your past experiences.

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What is your experience with cloud platforms?

Discuss your hands-on experience with cloud platforms like AWS or Azure. Provide examples of how you've utilized cloud services for data processing, storage, and ETL tasks.

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How do you approach troubleshooting performance issues in data pipelines?

Explain your systematic approach to diagnosing and resolving performance issues, including monitoring tools and logging practices you've implemented in the past.

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Can you describe a challenging data project you worked on?

Share a specific project that had challenges, clarifying the technical hurdles you faced and how you overcame them. Highlight the outcomes and lessons learned from the experience.

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How do you ensure data integrity and security in your systems?

Discuss your practices, such as validation checks, implementing access controls, and best security practices followed to maintain data integrity and protect sensitive information.

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What ETL tools have you used, and which do you prefer?

Provide a list of ETL tools you are familiar with, such as Apache NiFi or Talend. Discuss why you prefer certain tools based on their efficiency, support for automation, or ease of use.

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How do you stay current with the latest trends in data engineering?

Mention your methods for staying informed, such as attending conferences, following industry blogs, participating in forums, or taking online courses on new technologies.

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Why do you want to work at Devsinc?

Express your interest in Devsinc's projects, culture, or innovation in data solutions. Mention how your values align with the company’s goals and how you can contribute to its success.

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Full-time, remote
DATE POSTED
April 10, 2025

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