Cloud Engineering Lead
11 hours ago
Job Title: Cloud Engineering Lead
About Us: NexGen Tech Solutions is a forward-thinking company that utilizes cutting-edge technologies to deliver innovative solutions.
Salary: $150,000 - $180,000 per year
Job Description: As a Cloud Engineering Lead at NexGen Tech Solutions, you will play a pivotal role in designing, developing, and maintaining our data architecture on the Azure platform. Your expertise will be instrumental in collaborating with cross-functional teams to leverage technical proficiency and contribute to the successful implementation of data solutions.
Key Responsibilities:
- Design and implement scalable, reliable, and high-performance data architectures on the Azure cloud platform.
- Collaborate with data architects and other stakeholders to define data requirements and architecture standards.
- Develop end-to-end data pipelines, ensuring efficient and reliable data movement across various stages, from ingestion to consumption.
- Utilize Azure Data Factory, Azure Databricks, and other relevant services to orchestrate and optimize data workflows.
- Design and implement data models that support business requirements and enable efficient querying and analysis.
- Optimize data storage and retrieval processes for performance and cost-effectiveness.
- Integrate diverse data sources into a unified data platform, ensuring data consistency, accuracy, and reliability.
- Implement data integration patterns using Azure services such as Azure Data Factory, Azure Logic Apps, and Azure Functions.
- Ensure compliance with data governance and privacy regulations.
- Monitor data pipeline performance and proactively identify and resolve bottlenecks or issues.
- Implement performance tuning strategies to optimize data processing and reduce latency.
- Document data engineering processes, data flows, and system architecture for knowledge sharing and future reference.
Requirements:
- Bachelor's degree in computer science, Information Technology, or a related field.
- Proven experience (3+ years) as a Data Engineer, with a focus on Azure Cloud technologies.
- In-depth knowledge of Azure services such as Azure Data Factory, Azure Databricks, Azure Synapse Analytics, and Azure Storage.
- 3-5+ years experience working with large volumes of data (structured and unstructured).
- Strong proficiency in programming languages such as Python, SQL, and familiarity with tools like Spark.
- Hands-on experience on designing, developing, and implementing Enterprise Data Warehousing, ETL, and real-time/batch data exchanges and working with related technologies such as SSIS, Azure Data Factory, Synapse Spark, Azure DevOps, Databricks.
- Strong SQL skills, knowledge of RDBMS and Data Lake concepts.
- Strong knowledge of data warehousing architecture, data mining methodologies, and business intelligence.
- Knowledge of AI and ML developments/solutions/implementations is a plus.
- Knowledge of data security, compliance, and governance best practices.
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