LHH ยท 3 hours ago
Data Engineer
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Responsibilities
Design, develop, and maintain scalable data pipelines and ETL processes to integrate various data sources into a unified data warehouse.
Utilize SQL and relational databases (e.g., SQL Server, MySQL, Azure SQL Database) to manage and manipulate data.
Implement big data technologies such as Hadoop, Spark, and Kafka to handle large-scale data processing.
Leverage cloud platforms (AWS, Azure, GCP) for data storage, processing, and analytics.
Develop and maintain data integration workflows using tools like Apache Nifi and Talend.
Create and manage data pipelines in Azure Data Factory to ensure efficient data flow and transformation.
Collaborate with cross-functional teams to understand data requirements and deliver high-quality data solutions.
Qualification
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Required
Minimum of 4 years of experience in data engineering or a related field.
Expertise in SQL and experience with relational databases (e.g., SQL Server, MySQL, Azure SQL Database).
Proficiency in programming languages such as Python, Java, or Scala.
Experience with big data technologies (Hadoop, Spark, Kafka) and cloud platforms (AWS, Azure, GCP).
Experience with data integration tools (e.g., Apache Nifi, Talend).
Proven experience in developing data pipelines in Azure Data Factory.
Strong problem-solving skills and attention to detail.
Excellent communication and teamwork abilities.
Company
LHH
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H1B Sponsorship
LHH has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2022 (1)
2020 (1)
Funding
Current Stage
Late StageCompany data provided by crunchbase