Data Engineer

Job Description

Industry: IT Qualification: Any Degree Required Skills: Python, Pandas, SQL Working Shift: 2PM to 11PM IST City: Coimbatore Country: India Name of the position: Data Engineer Location: Remote No. of resources needed : 01 Mode: Contract (2 Months with Possible Extension) Years of experience: 3+ Years Shift : UK shift Job Summary: We are looking for a highly motivated and detail-oriented Data Engineer with a strong background in data cleansing, Python scripting, and SQL to join our team. The ideal candidate will play a critical role in ensuring data quality, transforming raw datasets into actionable insights, and supporting data-driven decision-making across the organization. Key Responsibilities: Design and implement efficient data cleansing routines to remove duplicates, correct anomalies, and validate data integrity. Write robust Python scripts to automate data processing, transformation, and integration tasks. Develop and optimize SQL queries for data extraction, aggregation, and reporting. Work closely with data analysts, business stakeholders, and engineering teams to understand data requirements and deliver clean, structured datasets. Build and maintain data pipelines that support large-scale data processing. Monitor data workflows and troubleshoot issues to ensure accuracy and reliability. Contribute to documentation of data sources, transformations, and cleansing logic. Requirements: Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related field. 3+ years of hands-on experience in data engineering, with a focus on data quality and cleansing. Strong proficiency in Python, including libraries like Pandas and NumPy. Expert-level knowledge of SQL and working with relational databases (e.g., PostgreSQL, MySQL, SQL Server). Familiarity with data profiling tools and techniques. Excellent problem-solving skills and attention to detail. Good communication and documentation skills. Preferred Qualifications: Experience with cloud platforms (AWS, Azure, GCP) and data services (e.g., S3, BigQuery, Redshift). Knowledge of ETL tools like Apache Airflow, Talend, or similar. Exposure to data governance and data cataloging practices.