Senior Data Engineer - SOL-1634

• Design, develop, and maintain scalable ETL/ELT data pipelines using Python. • Process and integrate data from multiple formats and sources, including JSON, CSV, and XML. • Build and manage data transformations and orchestration workflows using DBT and tools such as Airflow, Prefect, or Dagster. • Enforce data governance, quality, and security standards across data systems. • Extend, maintain, and optimize the Elastic Hierarchy data framework. • Collaborate closely with analytics, machine learning, and product teams to deliver reliable, business-ready datasets. • Support data operations in SaaS and on-premise hybrid environments. ​ @@HD@@ Requirements Skills:@@/HD@@ • Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related field. • Strong proficiency in Python development. • Experience with the AWS data ecosystem, including services such as S3, Glue, Lambda, EMR, EC2, Redshift, and RDS. • Hands-on experience with Snowflake, MongoDB, and PostgreSQL. • Experience using DBT and at least one data orchestration tool (Airflow, Prefect, or Dagster). • Knowledge of data mapping, attribution, and reconciliation processes. • Ability to work effectively in hybrid and on-premise deployment environments. • Strong English communication skills, both written and verbal. Originally posted on Himalayas