Data Engineer

Job Description

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We (Emonics LLC) are hiring a Data Engineer professional with 3+ years of experience. the professional who is comfortable working in WFH, US Shift (6:30 PM to 3:30 AM).   Key Responsibilities Responsibilities Design and develop robust data pipelines for ETL/ELT workflows. Work with core Python to build scalable and efficient solutions for data processing. Handle large, complex datasets: cleaning, transforming, and optimizing for downstream use. Implement data integration solutions across multiple sources and destinations. Manage and optimize cloud-based data environments (Snowflake, BigQuery, Redshift, or Azure Synapse). Collaborate with analysts, data scientists, and business teams to ensure data availability and reliability. Apply best practices in data modeling, performance tuning, and version control. Required Skills & Qualifications Strong programming skills in Python (OOPs, syntax, DSA, problem-solving). Hands-on experience with cloud platforms (AWS, Azure, or GCP) and their data services. Proficiency in SQL for working with relational databases. Knowledge of ETL/ELT workflows and orchestration tools (Airflow, ADF, etc.). Experience with data modeling, schema design, and performance optimization. Strong problem-solving skills and the ability to work with large-scale data systems. Good to Have Experience with Data Warehouses such as Snowflake, BigQuery, Redshift, or Synapse. Exposure to big data frameworks (Spark, Hadoop). Familiarity with DevOps practices (CI/CD, containerization with Docker/Kubernetes). Understanding of machine learning workflows for data preparation.   PS: It is not development role, main job responsibilities would include – Technical Training , Technical guidance to consultants in terms of JD/RUC sessions, aiding them in cracking interviews etc.