Data Engineer

Job Summary 
We are seeking a skilled and motivated Data Engineer with 3–6 years of experience in designing, 
developing, and maintaining large-scale data processing solutions. The ideal candidate should 
have strong expertise in Oracle, Python, Hive, and Linux environments, with hands-on 
experience in ETL development, data warehousing, and data pipeline optimization. Exposure to 
AWS services such as Lambda, OpenSearch, and S3 will be an added advantage. 
Key Responsibilities 
• Design, develop, and maintain robust and scalable data pipelines for batch and near real
time data processing. 
• Develop and optimize ETL/ELT processes using Python and SQL/Hive/Elastic. 
• Develop and maintain Hive-based data solutions in Hadoop ecosystems. 
• Analyze, troubleshoot, and resolve data quality and performance issues. 
• Write efficient shell scripts and work in Linux environments for process automation and 
support activities. 
• Collaborate with business stakeholders, data analysts, and application teams to 
understand data requirements and deliver solutions. 
• Participate in code reviews, testing, and deployment activities. 
• Ensure adherence to data governance, security, and compliance standards. 
Required Skills 
Technical Skills 
• Strong experience in Oracle Database, including: 
o Advanced SQL and PL/SQL 
o Query optimization and performance tuning 
• Proficiency in Python: 
o Data processing and ETL development 
o Automation scripting 
• Hands-on experience with: 
o Hive 
o Hadoop ecosystem concepts 
o Data warehousing and large-scale data processing 
• Strong Linux/Unix knowledge: 
o Shell scripting 
o Process monitoring and troubleshooting 
o File system management 
Good to Have Skills 
• Experience with AWS cloud services: 
o AWS Lambda 
o Amazon S3 
o Amazon OpenSearch 
• Exposure to: 
o Spark/PySpark 
o Airflow 
o Kafka 
o Data lake architectures 
o CI/CD pipelines 
Qualifications 
• Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, 
or a related field. 
• 4–6 years of experience in Data Engineering, Data Warehousing, or ETL development. 
• Strong analytical, problem-solving, and debugging skills. 
• Excellent communication and stakeholder management capabilities.