IBM Recruitment 2023

We are looking for a skilled and motivated individual to join our team as a Data Engineer at IBM. As a Data Engineer, you will be responsible for designing, developing, and maintaining data infrastructure and systems. Your expertise in data processing, data integration, and database management will contribute to our efforts in harnessing the power of data to drive insights and innovation.

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Responsibilities:

• Design, develop, and implement data pipelines for ingesting, transforming, and loading data from various sources.
• Ensure data quality and integrity throughout the pipeline by implementing data validation and cleansing processes.
• Monitor and optimize data pipelines for performance, scalability, and reliability.
• Integrate and consolidate data from multiple sources to create a unified view for analysis and reporting.
• Design and develop data models and schemas for data warehousing and business intelligence purposes.
• Implement data extraction, transformation, and loading (ETL) processes to populate and maintain data warehouses.
• Design and implement database structures, including tables, indexes, and views.
• Optimize database performance by tuning queries, indexing strategies, and data partitioning techniques.
• Monitor database performance and troubleshoot issues to ensure optimal data access and retrieval.

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Requirements:

• Strong programming skills in languages such as Python, SQL, and Java.
• Experience with data processing frameworks such as Apache Spark or Apache Flink.
• Proficiency in database technologies, including relational databases (e.g., Oracle, MySQL) and NoSQL databases (e.g., MongoDB, Cassandra).
• Knowledge of data integration techniques and tools (e.g., ETL, data pipelines, data warehousing).
• Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and related data services.
• Understanding of data modeling concepts and practices.
• Strong problem-solving and analytical skills.
• Excellent communication and teamwork abilities.