Mid Data Engineer

Nexaminds is on a mission to redefine industries with AI, focusing on innovation and collaboration. They are seeking a motivated and detail-oriented Mid Data Engineer to design, build, and maintain scalable data pipelines and infrastructure to support analytics and machine learning initiatives.

Responsibilities:

• Design, develop, and maintain robust ETL/ELT pipelines
• Build and optimize data architectures, including data lakes and data warehouses
• Develop and manage data workflows using Databricks and Apache Spark
• Ensure data quality, integrity, and availability across systems
• Collaborate with cross-functional teams to understand data requirements and deliver solutions
• Monitor and troubleshoot data pipelines and workflows
• Implement data governance, security, and compliance best practices
• Optimize data storage and query performance
• Document data processes, workflows, and architecture

Requirements:

• 2–3 years of experience as a Data Engineer or similar role
• Strong proficiency in SQL and at least one programming language (Python, Scala, or Java)
• Hands-on experience with Databricks and Apache Spark
• Experience with data pipeline tools (e.g., Apache Airflow, dbt, or similar)
• Familiarity with cloud platforms (AWS, GCP, or Azure)
• Experience working with data warehouses (e.g., Snowflake, BigQuery, Redshift)
• Understanding of distributed systems and big data technologies
• Strong problem-solving skills and attention to detail