Data Engineering Specialist
1 month ago
Job Title: Data Engineer
Experience Level: 3-5 Years
Job Type: Full-Time
Job Description:
We are looking for a skilled Data Engineer to build and maintain scalable data pipelines. The ideal candidate will have 3-5 years of experience in data engineering with a strong background in PySpark, Python, Spark, and SQL. The Data Engineer will be responsible for designing, developing, and optimizing data workflows, ensuring data quality across various platforms and technologies.
Key Responsibilities:
Develop and optimize ETL processes using Python, Spark, and SQL for large datasets.
Implement data quality checks and monitor data pipeline performance to ensure data accuracy and reliability.
Collaborate in designing and implementing data storage solutions, ensuring efficient querying and access patterns.
Troubleshoot and resolve any data pipeline issues in a timely manner.
Participate in code reviews and ensure best practices in data engineering.
Key Skills and Qualifications:
3-5 years of experience in data engineering or related fields.
Proficiency in Python for data processing and automation.
Strong experience with Apache Spark for distributed data processing.
Advanced knowledge of SQL for data manipulation and querying.
Experience in building ETL/ELT pipelines for structured and unstructured data.
Hands-on experience with cloud platforms like AWS, Azure, or GCP (preferred).
Familiarity with data warehousing concepts and solutions (e.g., Snowflake, Redshift, BigQuery).
Strong problem-solving skills and the ability to work in a fast-paced environment.
About Nexthire:
We accelerate business transformation by leveraging best-fit cloud-native technologies. We are digital consultants who partner with businesses to solve and deliver. We are experts in cloud-native technology consulting and solutions. We build, maintain, and monitor highly scalable, modular applications that leverage elastic compute, storage, and network of leading cloud platforms. We code your neo transformations. #Nexthire
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