Data Engineer

We are seeking a skilled Data Engineer to design develop and maintain scalable data pipelines and infrastructure. You will collaborate with data scientists analysts and engineering teams to enable analytics and machine learning across the organization.

Key responsibilities

• Design develop and maintain scalable data pipelines and ETL/ELT workflows.

• Build and optimize data warehouses lakes and lakehouse architectures.

• Implement batch and realtime data processing using Python SQL and Spark.

• Manage cloudbased data infrastructure on AWS Azure or GCP.

• Ensure data quality security governance and monitor pipeline performance.

• Collaborate with analytics AI/ML and engineering teams to deliver reliable data solutions.

Required qualifications

• Bachelors degree in Computer Science IT Engineering or related field.

• 29 years of professional experience in data engineering.

• Strong programming skills in Python SQL and experience with Spark or PySpark.

• Handson experience with cloud platforms (AWS/Azure/GCP) and data warehouse technologies.

• Proficiency in building and maintaining productiongrade ETL pipelines.

Nice to have

• Experience with modern data stack tools such as dbt Airflow Snowflake or Databricks.

• Knowledge of realtime streaming technologies like Kafka.

• Relevant cloud certifications.

Required Skills:

Python SQL Apache Spark ETL/ELT development Cloud platforms (AWS Azure GCP) Data warehousing Data modeling Problem solving Communication