Data Engineer

Job Description : You will work closely with the data analytics team to analyze and interpret data, develop data visualizations, and assist in data-driven decision-making processes. This includes collecting and cleaning data, conducting data analysis using statistical software, and creating reports and presentations to communicate insights. Requirements : - Knowledge of SQL, MongoDB, and Python is a must. - Good Knowledge of Kafka or real-time working with Big Data and PySpark is a plus. - Good knowledge of statistics is : - Design, develop, and maintain data pipelines and ETL processes. - Extract, transform, and load data from various sources into data warehouses and data lakes. - Build and optimize data models for analytical purposes. - Develop and maintain data quality standards and procedures. - Collaborate with data analysts and scientists to support their data needs. - Stay up-to-date with the latest data engineering technologies and best practices. - Qualifications Minimum : - 2 to 5 years of experience in data engineering or a related field. - Strong proficiency in SQL, MongoDB, and Python. - Knowledge of Kafka or experience working with real-time data processing (preferred). - Familiarity with Big Data technologies and PySpark (preferred). - Solid understanding of statistical concepts. - Excellent analytical and problem-solving skills. - Ability to work independently and as part of a team. Preferred Qualifications : - Experience with cloud-based data platforms (e.g., AWS, GCP, Azure). - Knowledge of data visualization tools (e.g., Tableau, Power BI). - Experience with data governance and compliance frameworks. (ref:hirist.tech)

Location: in, IN

Posted Date: 11/27/2024