Job Overview
Company
Coders Brain Technology Private Limited
Category
Computer Occupations
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Job Description
<p><b>Summary : </b><br/><p><br/><p>Seeking a passionate Data Engineer (2-3 years' experience) to build scalable data solutions.
Must have expertise in Spark (Scala), Java, AWS EMR, and AWS Glue, with end-to-end data pipeline exposure.
Oracle ERP migration experience is a plus.<br/><b><br/></b></p><p><p><b>Key Responsibilities : </b></p><br/><b>Required Skills & Experience : Design, build, and optimize scalable data pipelines on AWS EMR and AWS Glue.</p><p><br/></p><p>- Develop high-performance data processing solutions using Apache Spark (Scala) and Java.</p><p><br/></p><p>- Manage structured and unstructured data, ensuring quality, consistency, and reliability.
Collaborate with teams for data integration from source to target repositories.</p><p><br/></p><p>- Support data migration activities (Oracle ERP migration experience a plus).</p><p><br/></p><p>- Write efficient SQL queries and work with SQL & NoSQL databases.</p><p><br/></p><p>- Contribute to ETL design, development, and automation for reporting and analytics.</p><p><br/></p><p>- Ensure security, performance, and scalability of data solutions.</p><p><br/></p><p>- 2-3 years of hands-on Data Engineering experience.</p><p><br/></p><p>- Strong expertise in Apache Spark (Scala) and Java.</p><p><br/></p><p>- AWS EMR and AWS Glue experience (must-have).</p><p><br/></p><p>- Proficiency in SQL and working knowledge of NoSQL databases.</p><p><br/></p><p>- Strong understanding of ETL pipelines and data warehousing.</p><p><br/></p><p>- Good to have : Oracle ERP migration experience.</p><p><br/></p><p>- Exposure to AWS cloud ecosystem and related data services.</p><br/><b>Skill Category Skills/Technologies Candidate years' Experience : </b><br/><p><br/></p><p>- Programming - Apache Spark (Scala), Java</p><p><br/></p><p>- Cloud - (AWS) AWS EMR, AWS Glue</p><p><br/></p><p>- Data Processing- ETL pipeline design & development</p><p><br/></p><p>- Databases - SQL (proficient), NoSQL (working knowledge)</p><p><br/></p><p>- Data Warehousing - Data integration, pipeline optimization</p><p></p> (ref:hirist.tech)
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