Data Engineer

In this role, you will be responsible for building and maintaining ETL/ELT pipelines to ensure data accuracy and quality. You will work with large datasets, collecting, cleaning, and preparing data for analysis. Additionally, you will have the opportunity to design and implement predictive models, collaborating closely with Data Science teams. Creating dashboards and reports using tools like Tableau, Power BI, matplotlib, and Seaborn will also be part of your key responsibilities. Furthermore, you will work with cloud platforms such as AWS, Azure, GCP, and databases like SQL, MongoDB, PostgreSQL, and MySQL. Collaboration with cross-functional teams to address business problems using data will be a crucial aspect of this role. Preferred Skills: - Proficiency in Big Data tools like Spark and Hadoop - Experience with ML Frameworks such as TensorFlow, PyTorch, and Scikit-learn - Strong programming skills in Python/R, particularly with Pandas and NumPy libraries - Knowledge of data engineering and warehousing concepts As for additional details, the company offers various benefits for employees such as health insurance, occasional WFH options as per policy, paid time-off for personal needs, exposure to client interactions and real-world business challenges, and the opportunity to work on cutting-edge cross-functional projects. This is a full-time position that requires in-person work at the specified location.,