Data Engineer III

🔥 1 minute ago

🇮🇳 India – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

👻 Ghost score 13%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Astreya

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2001

💼 Consulting

📦 Logistics

📣 Marketing

Consulting • Logistics • Marketing

Astreya is a leading global provider of IT Managed Services and Technology Solutions, known for its innovative approach to digital engineering and IT logistics. The company focuses on empowering businesses to excel in today's dynamic digital landscape by maximizing productivity and fostering innovation. Astreya offers a range of services including Data Center & Network Management, Digital Workplace Services, Next-Gen Digital Engineering, and Cybersecurity Services. With a commitment to excellence and a focus on operational frameworks, Astreya aims to transform technology into a valuable strategic asset for organizations worldwide.

📋 Description

• Create and maintain optimal data pipeline architecture • Assemble large, complex data sets meeting functional and non-functional business requirements • Identify and implement internal process improvements, including automation, data delivery optimization, and scalable infrastructure redesign • Build infrastructure for extracting, transforming, and loading data from diverse sources • Build analytics tools providing actionable insights into customer acquisition, operational efficiency, and business performance metrics • Collaborate with Executive, Product, Data, and Design stakeholders on data-related technical issues and infrastructure needs • Create data tools that help team members build and optimize analytics production • Collaborate with data and analytics experts to improve data-system functionality • Perform other duties as required

🎯 Requirements

• Bachelor’s degree (B.S/B.A) from four-college or university and 5 to 8 years’ related experience and/or training; or equivalent combination of education and experience • Networks with senior internal and external personnel in own area of expertise • Demonstrates good judgment in selecting methods and techniques for obtaining solutions • Proficiency in SAS, Python, Java, and MatLab • ETL (Extract, Transform, and Load) • Database knowledge: SQL and NoSQL • Data warehousing knowledge: Hadoop, MapReduce, HIVE, Presto • Follows standard practice and procedures when analyzing situations or data • Ability to perform office-related tasks, including prolonged sitting or standing • Ability to move from place to place within an office environment • Ability to use a computer • Ability to communicate effectively