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.

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