Data Engineer
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Summary
Data engineer in Singapore building large-scale data pipelines and ETL workflows (extraction, transformation, loading) for projects of 500+ man-days, with technical-lead responsibilities. Core stack: SQL, Python, ETL tools, Azure Data Services, plus data-quality checks and Git version control.
3+ years of experience in
data platforms / data engineering . Experience handling
large-scale data projects (500+ man-days)
with technical-lead responsibilities. Strong hands-on experience in
data pipelines, ETL, data extraction, transformation and loading . Experience with
SQL and Python . Hands-on knowledge of
ETL tools
and
Azure Data Services . Experience with
data-quality checks, validation and reporting . Good understanding of
Git/version control .
data platforms / data engineering . Experience handling
large-scale data projects (500+ man-days)
with technical-lead responsibilities. Strong hands-on experience in
data pipelines, ETL, data extraction, transformation and loading . Experience with
SQL and Python . Hands-on knowledge of
ETL tools
and
Azure Data Services . Experience with
data-quality checks, validation and reporting . Good understanding of
Git/version control .