Data Engineer

In this role, you will be responsible for: - Building & maintaining ETL/ELT pipelines to ensure data accuracy and quality. - Working with large datasets to collect, clean, and prepare data for analysis. - Designing & implementing predictive models and collaborating with Data Science teams. - Creating dashboards & reports using tools like Tableau, Power BI, matplotlib, and Seaborn. - Working with cloud platforms such as AWS, Azure, GCP, and databases like SQL, MongoDB, PostgreSQL, and MySQL. - Collaborating with cross-functional teams to solve business problems using data. Preferred Skills: - Proficiency in Big Data tools like Spark, Hadoop. - Experience with ML Frameworks such as TensorFlow, PyTorch, Scikit-learn. - Strong programming skills in Python/R, particularly with Pandas and NumPy. - Knowledge of data engineering & warehousing concepts. As for additional details of the company, there is a focus on employee well-being and growth opportunities, including: - Health Insurance - Occasional WFH options as per policy - Paid time-off for personal needs - Exposure to client interactions & real-world business challenges - Opportunity to work on cutting-edge cross-functional projects Please note that this is a full-time position with the work location being in person.,