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Metro role, common Data Engineer title, mid-level experience, and well-known multinational brand increase candidate competition.
Core data engineering skills are transferable across industries, though FMCG/CPG domain experience is advantageous.
Explicit years required plus mandatory cloud, ETL, Python, and pipeline orchestration skills make shortlisting stringent.
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Expand and optimize data and data pipeline architecture to support cross-functional teams.
Build and maintain large scale data processing pipelines ensuring optimal data delivery across projects.
Collaborate with software developers, database architects, data analysts, and data scientists to support data initiatives and analytics agenda.
5+ years overall industry experience with 4-6 years in building and deploying large scale data pipelines in production.
Bachelor's degree in Science or Engineering; master's degree in Computer Science or related field is desirable.
Experience with cloud platforms like Google Cloud Platform (BigQuery, GCS, Cloud Function, Composer) or Microsoft Azure (ADF, Azure Data Lake Gen2, Databricks, SQL Server).
Strong proficiency in SQL, PL/SQL, Python programming, and data engineering concepts including data lakes, warehouses, ETL/ELT, and SCD implementations.
Experienced data pipeline builder comfortable supporting multiple teams and systems with a methodical analytics execution approach.
Skilled in orchestration tools such as Airflow, Azure Data Factory, and familiar with BI tools like Tableau, Looker, or PowerBI as added advantage.
Has domain experience in FMCG/CPG/Retail/Supply Chain or related business domains and holds or is willing to attain relevant cloud certifications (GCP or Azure Data Engineer).