33:I[36569,["/_next/static/chunks/04uezr1mit3d2.js","/_next/static/chunks/05jcni-0f36_3.js","/_next/static/chunks/0i0j~f-zy_qk0.js","/_next/static/chunks/13oggszwohqi~.js","/_next/static/chunks/08hlnmmq29km..js"],"default"] 2d:["$","span","hadoop",{"className":"text-xs font-medium bg-[var(--color-brand-50)] text-[var(--color-brand-700)] border border-[#c7d2fe] px-2.5 py-1 rounded-[var(--radius-sm)]","children":"hadoop"}] 2e:["$","span","sqoop",{"className":"text-xs font-medium bg-[var(--color-brand-50)] text-[var(--color-brand-700)] border border-[#c7d2fe] px-2.5 py-1 rounded-[var(--radius-sm)]","children":"sqoop"}] 2f:["$","span","big data",{"className":"text-xs font-medium bg-[var(--color-brand-50)] text-[var(--color-brand-700)] border border-[#c7d2fe] px-2.5 py-1 rounded-[var(--radius-sm)]","children":"big data"}] 32:T52b,Experience required: 1-4 Yrs Skills: hive, python, data analytics, data analysis, scala, pyspark, data warehousing, microsoft azure, machine learning, data engineering, business intelligence, sql server, sql, tableau, data science, spark, hadoop, sqoop, big data, etl, aws

Design, develop, and implement large-scale data pipelines and architectures.
Collaborate with cross-functional teams to identify and prioritize project requirements.
Develop and maintain complex data processing systems and workflows.
Ensure high-quality data delivery and integrity through data validation and testing.
Optimize data storage and retrieval processes for improved performance.
Participate in code reviews and contribute to the improvement of the overall codebase.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

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