Big Data Engineer
Job Description
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We are seeking a highly skilled Big Data Engineer to design and optimize large-scale data processing systems. The ideal candidate will have expertise in Big Data Technologies, Cloud Data Engineering, and Data Pipeline Development to manage massive datasets and support advanced analytics.
🔹 Key Responsibilities:
- Develop and maintain scalable Big Data pipelines and architectures.
- Work with distributed computing frameworks such as Hadoop, Apache Spark, and Kafka.
- Implement real-time and batch data processing solutions.
- Optimize ETL processes and ensure high data quality, security, and governance.
- Manage large data storage systems on AWS, Azure, and Google Cloud.
- Collaborate with Data Scientists, BI Analysts, and product teams to support business insights.
🔹 Qualifications:
- Bachelor’s or Master’s degree in Computer Science, Data Science, or a related discipline.
- Strong experience with Hadoop Ecosystem (Hive, HDFS, Pig).
- Proficiency in Apache Spark, Scala, Python, and SQL.
- Hands-on experience with Cloud Data Platforms like Redshift, Snowflake, and BigQuery.
- Strong knowledge of Data Warehousing and Data Modeling.
- Familiarity with Machine Learning pipelines is a plus.
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#BigData
#Hadoop
#ApacheSpark
#Kafka
#ETL
#DataEngineering
#CloudComputing
#AWS
#GoogleCloud
