Data Engineer - SQL/ETL/Pytho n

Skills : SQL, Python, ETL, Snowflake, AWS, pyspark, Job Title : Data Engineer. Experience : 2-3 Years Location : REMOTE WORKING - 5 DAYS A WEEK Mandatory skills : Python, SQL, ETL, Snowflake, AWS , PySpark, Apache Spark. Qualification : Bachelor's degree or equivalent experience in Computer Science Responsibilities : - Manage and optimize data processes, working with large and multi-dimensional datasets. - Develop, implement, and optimize complex data transformation ETLs. - Design and develop data architectures using Python, PySpark, and Apache Spark. - Utilize AWS cloud services in the data domain and/or other technologies such as Snowflake, Dataiku, and Alteryx. - Handle On-Prem/Cloud Data warehouse databases. - Keep updated with emerging trends in data tools, analysis techniques, and data usage. Requirements : - Minimum 2-3 years of data engineering experience. - Proven experience working with Python, PySpark, Apache Spark, and data services on the cloud. - Strong understanding of data modelling principles; ability to produce, maintain, and update data models as per specific business needs. - Experience working with various data platforms including Snowflake/Dataiku/Alteryx. - Knowledge of On-Prem/Cloud Data warehouse databases. - Technical leadership skills, with a demonstrated ability to lead and deliver projects independently. Ideal Candidate : - Experience with cloud data engineering tools/components/technologies such as AWS Glue, EMR, Azure Data Factory. - Continual learning mindset to understand emerging trends in the data science field. Desired Skills and Experience : SQL, Python, ETL, Snowflake, AWS, pyspark (ref:hirist.tech)

Location: mumbai, IN

Posted Date: 2/14/2025