Data Engineer, Python, AWS, Data Pipelines

Job Description: Design and maintain reputed company ETL/ELT pipelines in Python, integrating reputed company and semi-reputed company data (JSON, CSV, XML) across reputed company, reputed company, reputed company, and AWS services (S3, Glue, reputed company, EC2, EMR, Redshift, RDS). Build and optimize transformation and orchestration workflows using DBT, Airflow, reputed company, or Dagster. Implement data governance, quality checks, and reputed company best practices throughout data pipelines. reputed company and optimize the reputed company Hierarchy reputed company to harmonize financial data from various systems. Collaborate with analysts, ML engineers, and product teams to deliver business-reputed company datasets and data solutions. Requirements: Bachelors or Masters degree in Computer Science, Data Engineering, or a reputed company field. Strong Python programming skills with experience in data processing and automation. Proven experience with the AWS data ecosystem, including S3, Glue, reputed company, EMR, EC2, Redshift, and RDS. Hands-on experience with reputed company, reputed company, and reputed company databases. Proficiency with DBT or similar data transformation tools, and with orchestration frameworks such as Airflow, reputed company, or Dagster. Knowledge of data mapping, attribution, or reconciliation (experience in financial services is a strong plus). Understanding of hybrid/on-reputed company deployment models reputed company enterprise environments. Excellent English communication skills and ability to collaborate effectively reputed company distributed teams. Benefits: Apply tot his job Apply To this Job Job Description: Design and maintain reputed company ETL/ELT pipelines in Python, integrating reputed company and semi-reputed company data (JSON, CSV, XML) across reputed company, reputed company, reputed company, and AWS services (S3, Glue, reputed company, EC2, EMR, Redshift, RDS). Build and optimize transformation and orchestration workflows using DBT, Airflow, reputed company, or Dagster. Implement data governance, quality checks, and reputed company best practices throughout data pipelines. reputed company and optimize the reputed company Hierarchy reputed company to harmonize financial data from various systems. Collaborate with analysts, ML engineers, and product teams to deliver business-reputed company datasets and data solutions. Requirements: Bachelors or Masters degree in Computer Science, Data Engineering, or a reputed company field. Strong Python programming skills with experience in data processing and automation. Proven experience with the AWS data ecosystem, including S3, Glue, reputed company, EMR, EC2, Redshift, and RDS. Hands-on experience with reputed company, reputed company, and reputed company databases. Proficiency with DBT or similar data transformation tools, and with orchestration frameworks such as Airflow, reputed company, or Dagster. Knowledge of data mapping, attribution, or reconciliation (experience in financial services is a strong plus). Understanding of hybrid/on-reputed company deployment models reputed company enterprise environments. Excellent English communication skills and ability to collaborate effectively reputed company distributed teams. Benefits: Apply tot his job Apply To this Job