Entry-Level Data Engineer

Entry Level Data Engineer

Full-Time

Candidate must be open to relocate

Responsibilities:

• Work with Hadoop ecosystem technologies such as HDFS, Hive, and MapReduce.
• Write and execute SQL queries to extract, transform, and analyze data.
• Create and maintain Hive tables and perform data processing using HiveQL.

Looking to advance your Data Science career with relocation support? Explore Data Science Jobs with Relocation Packages that include comprehensive packages to help you move and settle in your new role.

• Load, clean, and validate large datasets stored in Hadoop.
• Assist senior developers with ETL/data processing workflows.
• Troubleshoot data-related issues and investigate query or processing errors.
• Perform basic data analysis and generate reports based on business requirements.
• Follow data quality, security, and documentation standards.
• Learn and work with tools such as Linux, Git, Python, or Spark as required.

Required Skills:

• Basic knowledge of SQL: SELECT, JOIN, GROUP BY, subqueries, aggregate functions.
• Understanding of Hadoop and HDFS concepts.
• Basic knowledge of Hive/HiveQL.
• Familiarity with Linux commands.
• Understanding of databases and data warehousing concepts.
• Good problem-solving and analytical skills.

Good to Have:

• Apache Spark
• Python
• ETL concepts
• Data warehousing
• Git
• Cloud platforms such as AWS/Azure/GCP

Thanks