Urgent Hiring

1 week ago

udaipur, India Intellismith Full time

About IntellismithAt Intellismith, we power digital transformation for enterprises while closing the skills gap across India. Since 2019, we've delivered innovative HR solutions, technology resource outsourcing, and talent acquisition for leading brands in BFSI, IT, and emerging industries. Our expertise extends from scalable cloud services and AI-powered automation to secure, enterprise-grade IT solutions. But our vision goes beyond technology—we're committed to building India's future workforce. Our state-of- the-art skilling and assessment platform connects young talent to industry-relevant training, bridging the gap between education, employability, and high-impact careers.Why choose Intellismith?- Proven partner for enterprise digital transformation and IT modernization- Leading provider of technology outsourcing solutions in India- Mission-driven company driving skills development and workforce readiness- Collaborative, growth-focused teams across Noida, Chennai, Mumbai, and BangaloreCore Services:- Enterprise Technology Solutions (Cloud, AI, Automation, Security)- HR Outsourcing and Recruitment- Training & Assessment Platform- Domain-Specific Skilling for BFSI, IT, and moreAs a leading outsourcing partners, we are hiring a Data Engineer to work on a project for our client, which is the largest provider of telecoms and mobile money services in 14 countries spanning Sub-Saharan, Central, and Western Africa. Purpose of role:To design and build scalable, high-performance data solutions using modern big data technologies, enabling data-driven decision-making across the organization.Job Details:Experience: 4–6 years of relevant experience in data engineeringCTC Bracket: Competitive, aligned with industry standardsQualification: BE / B Tech / MCA / BCA / MTech.Location: Gurugram (WFO - 5 days)Notice Period: Immediate to 15 days (Candidates with notice period of less than 30 days are preferred)Mandatory Skills:Strong hands-on experience with PySparkProven ability to write and optimize complex SQL queriesExperience with Hadoop is an added advantageSkills Required:Solid understanding of distributed data processing and big data architectureAbility to write efficient, optimized, and scalable PySpark codeExperience in building and maintaining data pipelines (batch/streaming)Knowledge of data modeling, performance tuning, and debuggingGood problem-solving skills with a focus on engineering robust data solutionsRoles & Responsibilities:Develop and optimize large-scale data processing pipelines using PySparkWork with Hadoop-based storage and processing frameworksCollaborate with cross-functional teams to understand data needs and deliver reliable datasetsEnsure data quality, governance, and performance across the data platformTroubleshoot and improve existing data workflows for scalability and efficiency#DataEngineer #Python #SQL #Pyspark #BigData #Hadoop #Immediatejoiners #Jobopportunity #Hiring

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