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Strong Tier-1 brand, popular data role, metro context, and broad requirements increase competition.
Core data engineering skills are highly transferable across industries.
Senior role at a Tier-1 firm likely needs domain expertise and leadership, so moderate shortlisting strictness.
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Design, develop, and optimize data pipelines and architectures for efficient large volume data handling.
Collaborate with cross-functional teams to meet data requirements and enable advanced analytics.
Ensure data quality and integrity to support business decision-making and operational efficiency.
Work Experience Required: Not explicitly mentioned in the JD
Mandatory technical skills: Expertise in data engineering for handling and analyzing large volumes of data
Not explicitly mentioned: specific degree requirements, location, or notice period
No explicit mention of regulatory or onsite constraints
Experienced in building robust data solutions that support business functions and improve decision-making
Capable of working cross-functionally to translate business needs into scalable data architectures
Comfortable with data quality assurance and enabling analytics capabilities in a dynamic environment