**Introduction** IBM Company is a data consultancy that empowers data-driven organizations to realize the full value of the Snowflake Data Cloud. We provide consulting and managed services in data architecture, data engineering, analytics and data science. We are renowned for bringing our clients deep expertise, being easy to work with, and being an amazing place to work! We are looking for curious and creative individuals who want to be part of a fast-paced, dynamic environment, where everyone’s input and efforts are valued. We hire outstanding individuals and allow them to thrive in a collaborative atmosphere that values learning, growth, and hard work. Our team is distributed across North America, Latin America, and Europe. If you have the desire to be a part of an exciting, challenging, and rapidly growing Snowflake consulting services company, and if you are passionate about making a difference in this world, we would love to talk to you!. **Your role and responsibilities** As an entry-level Data Engineer at IBM you will harness the power of data to unveil captivating stories and intricate patterns. You'll contribute to data gathering, storage, and both batch and real-time processing. Collaborating closely with diverse teams, you'll play an important role in deciding the most suitable data management systems and identifying the crucial data required for insightful analysis. As a Data Engineer, you'll tackle obstacles related to database integration and untangle complex, unstructured data sets. In this role, your responsibilities may include: * Implement predictive/statistical models with big data and ML techniques. * Design enterprise search applications (Elasticsearch, Splunk). * Collaborate in Agile teams with scientists, engineers, and consultants. * Cleanse/integrate data efficiently; develop and evaluate predictive models. * Design and develop Snowflake Data Cloud solutions: ingestion pipelines, architecture, governance, and security. Data Pipeline & Engineering * Build scalable pipelines using SQL, Python, dbt, and cloud-native tools. * Apply ELT/ETL patterns for batch, incremental, and CDC processes. * Create data models (Dimensional, Data Vault, Lakehouse). * Develop transformations, data quality checks, and business logic. Platform & Cloud * Work with Snowflake, Databricks, AWS, Azure, or GCP for high-performance solutions. * Implement warehouse/lakehouse structures, schema management, and governance. * Use orchestration tools (Airflow, dbt Cloud, etc.). Client Delivery & Consulting * Translate requirements into technical tasks; communicate progress and blockers. * Participate in demos, stand-ups, and architecture discussions, document solutions. Data Quality, Governance & Security * Ensure data accuracy through validation and monitoring. * Apply security best practices: RBAC, masking, encryption, compliance. * Contribute to standards and templates. Collaboration & Growth * Work with senior engineers on design; participate in code reviews. * Mentor junior engineers; share knowledge; build reusable assets. Continuous Learning & Innovation * Stay updated on cloud, Snowflake, Databricks, and modern data stack. * Explore new tools and methodologies; contribute innovative ideas. **Required technical and professional expertise** Senior-level expertise in SQL and development of ELT/ETL pipelines. Senior experience with at least one major cloud platform (AWS, Azure, or GCP). Advanced knowledge of modern data platforms such as Snowflake, Databricks, BigQuery, Redshift, or Synapse. Proficiency in Python or similar programming languages for complex data engineering tasks. Strong understanding of data modeling techniques (Dimensional, Data Vault, Lakehouse) combined with experience in CI/CD workflows and version control tools (GitHub, Bitbucket). **Preferred technical and professional experience** . IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.