Data Engineer

Roles and Responsibilities :

Education: Bachelor’s or Master’s degree in Computer Science, Information Technology, or related field.

Experience: 5–7 years of experience in data engineering or a related role, with proven ability to lead complex projects.
Programming: Strong proficiency in Python, with expertise in automation and data manipulation.

Big Data Technologies: Deep knowledge of Apache Spark and distributed data processing frameworks.
SQL Expertise: Advanced ability to design, write, and optimize complex SQL queries.

Data Modelling & Architecture: Proven experience designing scalable data models and architectures to support enterprise-level workloads.

Cloud Platforms: Hands-on experience with at least one major cloud platform (Azure, AWS, GCP), with exposure to enterprise cloud data solutions.

Data Governance & Analytics Concepts: Solid understanding of data warehousing, ETL/ELT, and modern data management practices.

Problem Solving: Strong analytical and troubleshooting skills for data-related issues in large-scale environments.

Communication & Leadership: Excellent communication skills with experience collaborating with stakeholders and leading technical teams.

Job Requirements :
Databricks Expertise: Strong experience with Databricks and Delta Lake is a significant plus.

Certifications: Relevant certifications such as Azure Data Engineer Associate, AWS Big Data Specialty, GCP Professional Data Engineer, or Databricks certifications.
Architecture Experience: Exposure to Data Mesh, Data Fabric, or enterprise-scale data architecture patterns.