Data Engineer – Snowflake, Talend, Big Data Solutions | IBM Careers

Unlock the Power of Data with IBM – Join as a Data Engineer

IBM is seeking a skilled Data Engineer to join our dynamic team of innovators and problem solvers. As a Data Engineer at IBM, you’ll be at the forefront of modern data architecture, enabling intelligent insights and data-driven decisions. Your work will span the full data lifecycle – from collection and transformation to integration and real-time processing – across various data systems and platforms.

Job Description :-

Key Responsibilities:

• Design and implement scalable data warehouse architectures on Snowflake, optimizing for performance, storage, and reliability.
• Build robust ETL pipelines using Talend to ingest, cleanse, and transform structured and unstructured data from diverse sources.
• Collaborate with cross-functional teams including data scientists, developers, consultants, and database administrators to deliver impactful data solutions.
• Develop predictive and statistical models incorporating machine learning techniques tailored to large-scale datasets.
• Design and deploy enterprise search applications such as Elasticsearch and Splunk to meet client-specific data retrieval and analysis requirements.
• Cleanse, integrate, and manage large datasets efficiently and build reusable data components.
• Optimize data workflows and resolve integration challenges in complex and unstructured data environments.
• Ensure adherence to data governance, validation, and security protocols throughout the data pipeline.
• Work in Agile environments, contributing to continuous improvement and high-performance delivery.

Required Qualifications:

• Bachelor’s Degree in Computer Science, Engineering, Data Science, or related field (Master’s Degree preferred).
• Proven experience with Snowflake schema design, query optimization, and performance tuning.
• Proficiency in Talend for creating scalable data ingestion and transformation workflows.
• Experience integrating data from cloud platforms into Snowflake using native connectors and Talend.
• Deep understanding of dimensional and relational data modeling for analytics and business intelligence applications.

Preferred Technical Skills:

• Strong expertise in SQL and Shell scripting for custom data transformations and automation.
• Familiarity with clustering keys, caching strategies, and query profiling for Snowflake optimization.
• Knowledge of data quality, validation, and governance frameworks within ETL environments.
• Exposure to big data platforms, enterprise-scale data architecture, and advanced analytics tools.

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What You’ll Gain:

• Opportunity to work with cutting-edge technologies and global leaders in data engineering and AI.
• Experience in solving real-world business problems using advanced analytics and machine learning.
• A collaborative environment that promotes innovation, continuous learning, and growth.