Job Title: Data Engineer with Data Operations

Experience: 5+ Years Employment Type: Contract Duration: 6 Months (Extendable) Location: Kolkata

Key Responsibilities:

- Design, develop, and maintain robust data pipelines to support data integration from Oracle Flexcube and other data sources into the Cloudera Data Platform.
- Utilize Hadoop for productive data storage and Hive+Impala for data querying and processing.
- Ensure the reliability, scalability, and performance of data operations.
- Implement best practices for data management, including data quality, data governance, and data security.
- Monitor and troubleshoot data pipelines to ensure smooth data flow and timely resolution of issues.
- Collaborate with cross-functional teams to understand data requirements and deliver solutions that meet business needs.




- Automate data workflows and processes to enhance operational efficiency.
- Develop and maintain documentation related to data engineering and operations processes.

Qualifications:

- Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.
- 5+ Years of experience in data engineering and data operations, preferably in the banking sector.
- Strong knowledge of Oracle Flexcube, APIs, JDBC/ODBC connection, SQL, Python, Spark (PySpark), Cloudera Data Platform, Hadoop, Hive, and Impala.
- Cloud knowledge is a plus.
- Proven experience in designing and managing data pipelines.
- Excellent analytical and problem-solving skills.

📌 Data Engineer with Data Operations (Kolkata)
🏢 Important Company of the Sector
📍 Kolkata