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

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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 :-
Company:IBM
Job Role:Data Engineer
Batches:Recent Batch
Degree:Bachelor’s Degree
Experience:Early Professional
Location:Pune, INDIA
CTC/Salary:INR 4.5-7 LPA (Expected)

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.

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