Data Engineer, Python, AWS, Data Pipelines

Job reputed company: • 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, reputed company 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: • Bachelor’s or Master’s 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 reputed company environments. • Excellent English communication skills and ability to collaborate effectively reputed company distributed teams. Benefits: Apply tot his job Apply To this Job