Key skills
PythonSQLAIMachine LearningETLELTAnalyticsBITableauPower BISnowflakeBigQueryRedshiftDatabricksSparkApache SparkAirflowApache AirflowdbtAWSAzureGCPCollaboration
About this role
Nexaminds is on a mission to redefine industries with AI, focusing on innovation and collaboration. They are seeking a motivated Mid Data Engineer to design, build, and maintain scalable data pipelines that 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 programming language (Python)
- Hands-on experience with Databricks and Apache Spark
- Experience with data pipeline tools (e.g., Apache Airflow, dbt, or similar)
- Data visualization tools (e.g., Tableau, Sigma, Power BI, 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