Data Engineer
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Summary
Designs, builds, and maintains end-to-end ETL/ELT data pipelines and lakehouse architectures (Apache Iceberg, Snowflake) on Alibaba Cloud, supporting analytics, ML, and reporting workloads. Focus on data quality, governance, performance tuning, and DataOps/CI-CD automation for enterprise clients.
Job Responsibilities
Design, develop, and implement scalable data engineering solutions.
Build and maintain end-to-end ETL/ELT pipelines using
Python ,
SQL , and modern data engineering frameworks. Develop and manage data lakehouse architectures using
Apache Iceberg
and
Snowflake . Create and support a dedicated data environment on
Alibaba Cloud (AliCloud)
for data processing, analytics, machine learning, and reporting workloads. Automate data ingestion, transformation, validation, and reporting processes to improve operational efficiency. Optimize data pipelines, storage, and query performance to ensure scalability and reliability. Collaborate with architects, program leads, and business stakeholders to gather requirements and deliver data solutions. Ensure data quality, governance, security, and compliance with enterprise standards. Monitor, troubleshoot, and resolve data platform and pipeline issues. Contribute to best practices in DataOps, CI/CD, automation, and cloud-native data engineering. Job Requirements 5+ years of experience in Data Engineering, Data Warehousing, or Big Data environments. Strong hands-on experience with
Apache Iceberg . Proven experience working with
Snowflake
for data warehousing and analytics. Advanced proficiency in
Python
and SQL development. Experience designing and building ETL/ELT pipelines and data integration solutions. Solid understanding of data lake, lakehouse, and data warehouse architectures. Experience working with cloud platforms, preferably
Alibaba Cloud (AliCloud) . Knowledge of distributed data processing technologies such as
Apache Spark ,
Flink , or similar frameworks. Experience with data modeling, performance tuning, and data quality management. Familiarity with CI/CD pipelines, Git, and automation tools. Strong analytical, problem-solving, and stakeholder management skills. Experience in regulatory or data privacy-focused environments is an added advantage.
Python ,
SQL , and modern data engineering frameworks. Develop and manage data lakehouse architectures using
Apache Iceberg
and
Snowflake . Create and support a dedicated data environment on
Alibaba Cloud (AliCloud)
for data processing, analytics, machine learning, and reporting workloads. Automate data ingestion, transformation, validation, and reporting processes to improve operational efficiency. Optimize data pipelines, storage, and query performance to ensure scalability and reliability. Collaborate with architects, program leads, and business stakeholders to gather requirements and deliver data solutions. Ensure data quality, governance, security, and compliance with enterprise standards. Monitor, troubleshoot, and resolve data platform and pipeline issues. Contribute to best practices in DataOps, CI/CD, automation, and cloud-native data engineering. Job Requirements 5+ years of experience in Data Engineering, Data Warehousing, or Big Data environments. Strong hands-on experience with
Apache Iceberg . Proven experience working with
Snowflake
for data warehousing and analytics. Advanced proficiency in
Python
and SQL development. Experience designing and building ETL/ELT pipelines and data integration solutions. Solid understanding of data lake, lakehouse, and data warehouse architectures. Experience working with cloud platforms, preferably
Alibaba Cloud (AliCloud) . Knowledge of distributed data processing technologies such as
Apache Spark ,
Flink , or similar frameworks. Experience with data modeling, performance tuning, and data quality management. Familiarity with CI/CD pipelines, Git, and automation tools. Strong analytical, problem-solving, and stakeholder management skills. Experience in regulatory or data privacy-focused environments is an added advantage.
