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Senior Data Engineer

We're on the lookout for exceptional individuals to join our team as Senior Data Engineers. As a part of our team, you'll be driving change and making a significant impact in the gaming industry.

  • Lead the design, development, and maintenance of end-to-end data analytical solutions using Microsoft on-premises and cloud technologies.
  • Engage in collaborative requirement elicitation activities with our valued clientele.
  • Mentor and guide junior team members in the field of data engineering.
  • Showcase your expertise by delivering innovative analytical solutions to our clients and contributing to knowledge transfer within the organization.
  • 4+ years of experience as a data engineer.
  • Familiarity with analytical architectures including Data Warehouses, Data Lakes and Data Lakehouses.
  • Knowledge of Microsoft relational engines available – both on-premises (MS SQL Server) and on the cloud (Azure SQL, Azure Synapse Analytics Dedicated Pools).
  • Knowledge of query and workload optimization.
  • Knowledge of administrating and managing analytical solutions both on premises and on the cloud.
  • Knowledge of NoSQL offerings on Azure (e.g. CosmosDB).
  • Knowledge of setting up Data Lakes on ADLS gen 2 and Azure Synapse Analytics.
  • Knowledge of using SSIS and Azure Data Factory to set up ETL jobs.
  • Knowledge of setting up OLAP solutions using SSAS.
  • Familiarity with Azure Data Catalog to manage data lake metadata.
  • Knowledge of governance over Azure based analytical solutions including using tools such as Purview, Active Directory, Key Vault, Azure DevOps, etc.
  • Knowledge of using Azure Stream Analytics to capture and analyze data in real time.
  • Knowledge of setting up data warehouse solutions both on-premises (using MS SQL Server) and on the cloud (using Azure Synapse Analytics).
  • Knowledge of Dimensional Modeling (Dimensions, Facts, Slowly Changing Dimensions, Outriggers, Role Playing Dimensions, Junk Dimensions, Degenerate Dimensions, Multi-valued Dimensions, Transactional Facts, Periodic Snapshot Facts and Accumulating Snapshot Facts).
  • Knowledge of implementing common ETL patterns to support data warehouse workloads.
  • Knowledge of using U-SQL, PolyBase and Azure Data Lake Analytics to perform federated querying.
  • Knowledge of PowerBI.
  • Familiarity with SSRS.
  • Snowflake Experience: Experience with Snowflake is required.

Nice to Have:

  • An MSc in Computer Science or other relevant field.
  • Familiarity with Azure Databricks.
  • Familiarity with DataOps
  • Familiarity with Azure Cognitive Services.
  • Familiarity with Azure ML.
  • Familiarity with MLOps.
  • Familiarity of containerization tools and frameworks (Docker, Kubernetes, etc.)
  • Familiarity with Azure HD Insight.
  • Familiarity with the Hadoop ecosystems, including tools like Hive, Spark and Kafka.
  • Familiarity with Azure Functions to perform lightweight transformations.
  • Salary paid in USD
  • Six-month career advancing opportunities
  • Supportive and friendly work environment
  • Premium medical insurance [employee +family]
  • English language development courses
  • Interest-free loans paid over 2.5 years
  • Technical development courses
  • Planned overtime program (POP)
  • Employment referral program
  • Premium location in Maadi
  • Social insurance

Average salary estimate

$100000 / YEARLY (est.)
min
max
$80000K
$120000K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

What You Should Know About Senior Data Engineer, Integrant

We’re excited to announce an opportunity for a Senior Data Engineer to join our innovative team and make waves in the gaming industry! At our company, your primary mission will be to lead the design, development, and maintenance of comprehensive data analytical solutions utilizing Microsoft’s cutting-edge technologies. You’ll play a pivotal role in ceaseless collaboration with our clients to elicit requirements and ensure we’re delivering just what they need. Besides, as a Senior Data Engineer, you will have the chance to mentor junior team members, sharing your vast expertise and guiding the next generation of data engineering talent. With your deep knowledge of analytical architectures, including Data Warehouses and Data Lakes, you’ll also implement innovative solutions while contributing to our internal knowledge transfer. We’re looking for someone with 4+ years of hands-on experience in data engineering and proficiency in both on-premises and cloud databases like Microsoft SQL Server and Azure SQL. Familiarity with tools such as Azure Data Factory, SSIS, and real-time analytics using Azure Stream Analytics will serve you well in this role. If you’re eager to enhance your skills and find career advancement opportunities within a supportive and friendly work environment, this is the place for you! Join us in creating impactful and transformative data solutions while enjoying premium benefits including medical insurance and technical development courses. Ready to elevate your career? We can’t wait to meet you!

Frequently Asked Questions (FAQs) for Senior Data Engineer Role at Integrant
What responsibilities does a Senior Data Engineer have at our company?

As a Senior Data Engineer at our company, you will be responsible for designing, developing, and maintaining end-to-end data analytical solutions using both on-premises and cloud technologies. Your role will also include engaging in collaborative requirement elicitation activities with clients, mentoring junior team members, and delivering innovative analytical solutions that drive business value.

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What qualifications are required for the Senior Data Engineer position?

To qualify for the Senior Data Engineer role, you should have a minimum of 4 years of experience in data engineering and a strong understanding of analytical architectures such as Data Warehouses and Data Lakes. Additionally, proficiency in Microsoft relational database systems, experience with ETL tools like Azure Data Factory, and knowledge of NoSQL systems on Azure like CosmosDB are essential.

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What cloud technologies should a Senior Data Engineer be familiar with?

A Senior Data Engineer at our company should have familiarity with various cloud technologies, particularly those offered by Microsoft Azure. This includes knowledge of Azure SQL, Azure Synapse Analytics, Azure Stream Analytics, and Azure Data Factory. Experience with containerization tools, Azure HD Insight, and MLOps frameworks is also advantageous.

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How does the company support the career growth of a Senior Data Engineer?

Our company encourages the professional development of a Senior Data Engineer through various initiatives like six-month career advancing opportunities, technical development courses, and English language courses. We believe that investing in our employees' growth will ultimately benefit both the individual and our organization.

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What kind of work environment can a Senior Data Engineer expect?

A Senior Data Engineer at our company can expect a supportive and friendly work environment where collaboration and innovation are highly valued. We promote a culture of continuous learning and provide resources for professional development to ensure that our team members feel empowered and engaged.

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Common Interview Questions for Senior Data Engineer
Can you describe your experience with data warehousing solutions?

When answering this question, highlight specific projects where you designed or implemented data warehousing solutions. Discuss your familiarity with tools and technologies you’ve used, such as MS SQL Server and Azure Synapse Analytics, and be sure to mention any relevant architectures like star schemas or snowflake schemas.

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How do you optimize query performance in SQL Server?

Discuss techniques you’ve used to optimize queries, such as indexing strategies, analyzing execution plans, and understanding query performance metrics. This showcases your knowledge in SQL Server and your practical experience in delivering efficient solutions.

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What experience do you have with ETL processes?

Detail your experience with ETL tools, particularly Azure Data Factory or SSIS. Speak about specific ETL patterns and how you have implemented them to support data warehousing, alongside any challenges faced and how you overcame them.

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What is your approach to mentoring junior engineers?

Share your philosophy on mentoring and coaching. Discuss specific examples where you guided a junior team member, helping them to develop certain skills or overcome challenges, emphasizing how mentorship contributes to team success.

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Can you explain the importance of dimensional modeling?

Emphasize the role of dimensional modeling in designing efficient databases for reporting and analysis. Discuss key components like facts and dimensions, and provide examples of how you've applied this in past projects.

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What tools have you used for real-time data analytics?

Mention tools such as Azure Stream Analytics, and describe scenarios where you applied real-time data solutions. Highlight the significance of real-time analytics and how it informed decision-making in your past roles.

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How do you ensure data governance in cloud-based architectures?

Discuss your understanding of data governance principles and how you would implement governance strategies using tools like Azure Purview. Provide insights into how you manage metadata, security, and compliance in cloud environments.

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What role does documentation play in your data engineering projects?

Highlight the importance of comprehensive documentation in ensuring project clarity, facilitating knowledge transfer, and aiding future maintenance. Share your methods for keeping documentation up to date throughout project lifecycles.

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How familiar are you with NoSQL databases, particularly Azure CosmosDB?

Explain your experience with NoSQL databases, focusing on Azure CosmosDB. Discuss use cases where NoSQL solutions were beneficial, such as handling unstructured data or scenarios requiring high scalability.

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What trends in data engineering do you believe are important for the future?

Discuss emerging trends such as DataOps, real-time analytics, machine learning integration, and cloud-native architectures. Share your thoughts on how staying updated with these trends has shaped your approach to data engineering.

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Integrant designs, builds and supports enterprise class applications utilizing the Microsoft .Net framework. Since 1992, we have successfully delivered custom applications across a variety of industry verticals. Areas of focus include custom build...

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Full-time, remote
DATE POSTED
March 14, 2025

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