Jellyfish Technologies - Data Engineer - Azure Databricks

<p><p><b>Role :</b> Data :</b> 4-5 years.</p><br/><p><b>Location :</b> Remote.</p><br/><p><b>About Us :</b></p><br/><p>Jellyfish Technologies is a leader in leveraging cutting-edge data platforms to deliver innovative solutions.</p><br/><p>We're a company dedicated to creating scalable and efficient data ecosystems.</p><br/><p>We are seeking an experienced Databricks Architect to design and implement robust data solutions.</p><br/><p><b>Position Summary :</b></p><br/><p>- We are looking for a Data Engineer with 4-5 years of professional experience.</p><br/><p>- The ideal candidate will have a strong foundation in data engineering principles, with hands-on experience in building, maintaining, and optimizing data pipelines.</p><br/><p>- Additionally, you will be skilled in applying statistical and machine learning techniques to solve complex business problems.</p><br/><p>- You will work on various projects, from designing data architectures to developing predictive models, all in a collaborative and fully remote Engineering :</b></p><br/><p>- Design, develop, and maintain scalable and efficient data pipelines using ETL/ELT processes.</p><br/><p>- Build and optimize data models to support data-driven decision-making and analytics.</p><br/><p>- Manage and process large datasets from various sources, ensuring data quality and reliability.</p><br/><p>- Work with cloud-based data platforms such as Databricks, AWS, Azure, or GCP.</p><br/><p>- Troubleshoot and resolve data-related issues to ensure system stability and performance.</p><br/><p><b>Technical Skills :</b></p><br/><p>- Proficiency in programming languages like Python or Scala.</p><br/><p>- Strong expertise in SQL and working with relational databases.</p><br/><p>- Hands-on experience with big data technologies such as Apache Spark (Databricks is mandatory).</p><br/><p>- Experience with cloud platforms (AWS, Azure, or GCP).</p><br/><p>- Familiarity with data visualization tools (e.g., Tableau, Power BI, Matplotlib).</p><br/><p>- Solid understanding of machine learning models and statistical analysis.</p><br/><p><b>Preferred Qualifications :</b> </p><p><br/></p><p>- Experience with MLOps frameworks like MLflow.</p><br/><p>- Knowledge of data warehousing solutions like Snowflake or Redshift.</p><br/><p>- Background in developing and deploying production-level machine learning models.</p><br/></p> (ref:hirist.tech)