IBM is hiring for the position of Data Engineer-Data Integration in Pune, India. Candidates with a Bachelor’s/ Master’s Degree are eligible to apply for this position. The complete information, eligibility criteria, and requirements are provided below.
Job Description:
| Company Name | IBM |
| Position | Data Engineer-Data Integration |
| Qualification | Bachelor’s/ Master’s Degree |
| Batch | 2020/ 2021/ 2022/ 2023/ 2024/ 2025 |
| Experience | Entry Level |
| Location | Pune, India (Hybrid) |
Key Responsibilities:
- Implement and validate predictive models, and create and maintain statistical models with a focus on big data, using a range of statistical and machine learning techniques.
- Design and implement enterprise search applications, such as Elasticsearch and Splunk, to meet specific client requirements.
- Work in an Agile, collaborative environment, partnering with scientists, engineers, consultants, and database administrators to apply analytical rigor and statistical methods to solve complex behavioral prediction challenges.
- Develop scripts or programs to cleanse and integrate data efficiently and in a reusable manner, build predictive or prescriptive models, and evaluate the performance and results of these models.
Eligibility Criteria:
- Bachelor’s/ Master’s Degree
Required Technical and Professional Expertise:
- Expertise in designing and implementing scalable data warehouse solutions on Snowflake, including schema design, performance tuning, and query optimization.
- Strong experience in building data ingestion and transformation pipelines using Talend to process both structured and unstructured data from various sources.
- Proficiency in integrating data from cloud platforms into Snowflake using Talend and native Snowflake capabilities.
- Hands-on experience with dimensional and relational data modeling techniques to support analytics and reporting requirements.
Preferred Technical and Professional Experience:
- Good understanding of optimizing Snowflake workloads, including clustering keys, caching strategies, and query profiling.
- Ability to implement robust data validation, cleansing, and governance frameworks within ETL processes.
- Proficiency in SQL and/or Shell scripting for custom data transformations and automation tasks.
About Company:
At IBM, we do more than work. We create. We create as technologists, developers, and engineers. We create with our partners. We create with our competitors. If you’re searching for ways to make the world work better through technology and infrastructure, software and consulting, then we want to work with you. We’re here to help every creator turn their “what if” into what is. Let’s create something that will change everything.
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