Strong Middle Data Engineer

- Design and develop scalable, reliable data platforms and pipelines for analytics and operations - Implement data processing workflows using distributed frameworks (Apache Spark/pySpark, Databricks) - Evolve the organization’s cloud data platform leveraging Azure technologies (Data Factory, Synapse, Event Hub, Azure Data Lake Storage) - Model data to support analytics, reporting, and downstream consumption - Integrate and process data from multiple sources ensuring quality and consistency - Monitor and optimize pipeline performance, ensuring reliability and scalability - Collaborate with analysts, scientists, and engineers to translate requirements into solutions - Improve data engineering standards, testing, and operational reliability - Evaluate and introduce new tools and technologies in the data engineering ecosystem - 4+ years of hands-on experience in data engineering or building data processing platforms - Strong SQL skills and solid Python experience for pipeline development - Experience with distributed processing frameworks (Apache Spark/pySpark, Databricks preferred) - Practical experience designing and implementing pipelines in cloud environments (Azure preferred) - Experience with production-scale analytical systems and data modeling - Understanding of ETL/ELT design, dimensional modeling, and data warehousing principles - Experience with modern data lake architectures and formats (Parquet, JSON) - Familiarity with workflow orchestration tools (Airflow) - Experience with database development and optimization - Ability to design scalable solutions with minimal supervision - Strong collaboration and communication skills - Professional proficiency in English Are you passionate about building scalable, high-performance data solutions? We are looking for a Data Engineer to join our team and help design and develop robust data platforms that power analytics, reporting, and data-driven decision-making. Why join us? You will work on challenging projects, collaborate with talented experts, and have access to professional growth opportunities, a supportive environment, and competitive benefits. Originally posted on Himalayas