Senior Executive /Assistant Manager - Data Engineer
About the role
The Senior Executive / Assistant Manager - Data Engineer at InQube will be responsible for designing, developing, and maintaining robust ETL/ELT pipelines, building and optimizing data warehouses and lakes, ensuring data quality, and collaborating with various stakeholders to deliver data solutions. The role also involves optimizing database performance, implementing data governance and security standards, automating data processes, and supporting analytics and ad-hoc reporting needs. InQube is a global apparel innovation company with operations in multiple countries and a focus on technology-driven solutions for the apparel industry.
Must have
- Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field (Master's degree is a plus)
- Minimum 3–6 years of experience in data engineering, database development, or a related field
- Proven experience designing and maintaining production-grade ETL/ELT pipelines
- Experience working with large-scale datasets and distributed data systems
- Strong proficiency in SQL and at least one programming language (Python, Java, or Scala)
- Hands-on experience with data pipeline/orchestration tools (e.g., Apache Airflow, dbt, Luigi)
- Experience with cloud data platforms (AWS, Azure, or GCP — e.g., Redshift, BigQuery, Snowflake, Databricks)
Nice to have
- Hands-on experience with Microsoft Fabric (e.g., Lakehouse, Data Factory pipelines, Dataflows Gen2, OneLake) is an advantage
- Familiarity with big data technologies (e.g., Spark, Hadoop, Kafka) is an advantage
Technologies
- Airflow
- AWS
- Azure
- BigQuery
- Data Analytics
- Data Engineering
- Data Lake
- Data Pipelines
- Data Warehousing
- Databricks
- dbt
- ELT
- ETL
- GCP
- Hadoop
- Java
- Kafka
- Lakehouse
- Microsoft Fabric
- Python
- Redshift
- Scala
- Snowflake
- Spark
- SQL
Highlights
Applicants should email their CV to Careers@inqube.com with the subject 'Senior Executive /Assistant Manager - Data Engineer'.
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