Job description

13.3333px; background-color: rgb(255, 255, 255);>
Required Skills & Experience:

• 3-5 years of hands-on experience as a Data Engineer.
• Proficiency in Python, SQL, and PySpark.
• Strong knowledge of Big Data ecosystems, including Hadoop, Hive, Sqoop, HDFS, and HBase.
• Expertise in the Spark ecosystem: Spark Core, Spark Streaming, Spark SQL, and Databricks.
• Solid experience with AWS cloud services, including EMR, EC2/EKS, Lambda, Glue, and S3.
• In-depth understanding of data modeling, data warehousing methodologies, and ETL
processes.
• Familiarity with data governance, quality, and security principles in cloud environments.
• Excellent problem-solving skills and ability to work independently or collaboratively in a fastpaced environment.