Data Engineer

We are seeking a Data Engineer with strong experience in AWS, Databricks, and Informatica to design and build scalable data pipelines within a cloud-based analytics environment. The role will focus on data integration, transformation, and enabling advanced analytics by building reliable data infrastructure. Key Responsibilities Design and develop scalable ETL/ELT pipelines for processing large datasets.

Build and maintain data pipelines using AWS and Databricks . Develop data integration workflows using Informatica . Implement data ingestion and transformation processes from multiple data sources.

Optimize data pipelines for performance, scalability, and reliability . Support data lake and data warehouse architectures . Collaborate with data scientists, AI engineers, and analytics teams to enable advanced analytics use cases.

Ensure data quality, governance, and security standards are maintained. Required Skills Strong experience in AWS (S3, Glue, Redshift, EMR, Lambda or similar services) . Hands-on experience with Databricks and Apache Spark .

Experience developing ETL workflows using Informatica . Strong proficiency in SQL and Python . Experience working with large-scale data processing and data lake architectures .

Knowledge of data modeling and data pipeline optimization . Preferred Skills Experience with data warehousing and analytics platforms . Familiarity with workflow orchestration tools such as Airflow .

Experience supporting machine learning or analytics pipelines . Understanding of data governance and security frameworks . #J-18808-Ljbffr