Data Engineer with Strong Python Experience

Job Description As a Data Engineer at 3Pillar, you will play a vital role in our team, working on exciting projects that transform data analytics for our clients and give them a competitive edge in their industries. Your expertise and skills will be crucial in driving innovation and enabling data-driven decision making. Key Responsibilities: - Demonstrated expertise with a minimum of 3 years of experience as a data engineer or similar role - Advanced SQL skills and experience with relational and non-relational databases - Strong Python skills with hands-on experience on Panda, NumPy, and other data-related libraries - Strong exposure to writing ETL processes - Experience in data collection from multiple sources and integrating data based on business needs - Proficiency in core Python, PySpark, Hadoop, MariaDB, and SQL, with good hands-on experience in query preparation and automation - Familiarity with JavaScript & JQuery, Banking/Regulatory reporting domain knowledge would be advantageous - Familiarity with AWS/GCP data engineering services - Knowledge of AWS services such as S3, Lambda, GLUE ETL, Athena, RDS, Redshift, and EC2 - Proficiency in the English language Qualifications Required: - Minimum of 3 years of experience as a data engineer or in a similar role - Advanced SQL skills and experience with both relational and non-relational databases - Strong Python skills with hands-on experience in Panda, NumPy, and other data-related libraries - Experience in writing ETL processes - Proficiency in core Python, PySpark, Hadoop, MariaDB, and SQL - Familiarity with JavaScript & JQuery and Banking/Regulatory reporting domain knowledge would be advantageous - Familiarity with AWS/GCP data engineering services - Knowledge of AWS services such as S3, Lambda, GLUE ETL, Athena, RDS, Redshift, and EC2 Please note that this position is at a mid-level experience level. Join us at 3Pillar and be a part of our dynamic team where your passion for data analytics can drive real-world impact and innovation. As a Data Engineer at 3Pillar, you will play a vital role in our team, working on exciting projects that transform data analytics for our clients and give them a competitive edge in their industries. Your expertise and skills will be crucial in driving innovation and enabling data-driven decision making. Key Responsibilities: - Demonstrated expertise with a minimum of 3 years of experience as a data engineer or similar role - Advanced SQL skills and experience with relational and non-relational databases - Strong Python skills with hands-on experience on Panda, NumPy, and other data-related libraries - Strong exposure to writing ETL processes - Experience in data collection from multiple sources and integrating data based on business needs - Proficiency in core Python, PySpark, Hadoop, MariaDB, and SQL, with good hands-on experience in query preparation and automation - Familiarity with JavaScript & JQuery, Banking/Regulatory reporting domain knowledge would be advantageous - Familiarity with AWS/GCP data engineering services - Knowledge of AWS services such as S3, Lambda, GLUE ETL, Athena, RDS, Redshift, and EC2 - Proficiency in the English language Qualifications Required: - Minimum of 3 years of experience as a data engineer or in a similar role - Advanced SQL skills and experience with both relational and non-relational databases - Strong Python skills with hands-on experience in Panda, NumPy, and other data-related libraries - Experience in writing ETL processes - Proficiency in core Python, PySpark, Hadoop, MariaDB, and SQL - Familiarity with JavaScript & JQuery and Banking/Regulatory reporting domain knowledge would be advantageous - Familiarity with AWS/GCP data engineering services - Knowledge of AWS services such as S3, Lambda, GLUE ETL, Athena, RDS, Redshift, and EC2 Please note that this position is at a mid-level experience level. Join us at 3Pillar and be a part of our dynamic team where your passion for data analytics can drive real-world impact and innovation.