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Accenture Hiring Data Engineer 2026 | Apply Right Now

AlexaHire · All India

📅 19/08/2026
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Accenture Hiring Data Engineer Jobs Post Name: Data Engineer Company: Accenture Degree: B.E. / B.Tech / M.E. / M.Tech / MCA (Computer Science / IT preferred) Salary: 8 Lakh . Salary: 8 Lakh 25 Lakh/- per annum (depending on experience)Location: All India (Hybrid/Onsite)Experience: 3-8 yearsCompany OverviewAccenture is a global professional services company with leading capabilities in digital, cloud, data, and security. With a workforce of more than 700,000 professionals in more than 120 countries, Accenture helps organizations build their digital core, optimize operations, and accelerate business growth. The company partners with customers across various industries to provide end-to-end technology and business transformation solutions. Accenture is widely recognized for its strong work culture, innovation focus, and commitment to employee development. The organization invests heavily in emerging technologies, including artificial intelligence, big data, cloud platforms, and analytics. Employees benefit from structured learning programs, global project exposure,e and long-term career development opportunities. Job Description: Accenture Hiring Data EngineerAccenture is hiring skilled and analytical data engineers to design, develop, and maintain scalable data pipelines and data platforms. This role focuses on collecting, processing, and transforming large amounts of structured and unstructured data to support analytics, reporting, and machine learning use cases. As a Data Engineer, you will work closely with data scientists, analysts, and business teams to ensure reliable data availability and performance. You will be responsible for building ETL processes, optimizing data workflows, and enforcing data quality and governance standards. Key ResponsibilitiesDesign and build scalable data pipelinesDevelop ETL and ELT processesManage data ingestion and transformationOptimize data performance and reliabilityWork with structured and unstructured datasetsCollaborate with data scientists and analystsImplement data quality and governance checksMaintain technical documentationSupport analysis and reporting needsEligibility / CriteriaEducation B.E / B.Tech / M.E / M.Tech / MCA Experience 2 to 7 years of data engineering experience Programming Skills Python, SQL, Scala or Java Big Data Tools Spark, Hadoop, Kafka Database Skills SQL and NoSQL databases ETL Tools Experience with ETL frameworks Analytical Skills Strong problem-solving ability Communication Skills Good verbal and written communication salary and benefitsCompetitive salary packagePerformance-Based Incentives and Bonuseshealth insurance coveragePaid Holidays and Vacation BenefitsLearning and Certification ProgramExposure to global clients and projectsflexible working arrangementsEmployee Welfare InitiativeInclusive and collaborative work culturecareer advancement opportunitiesOnline Application and Resume ScreeningHR screening callTechnical assessment or coding testtechnical interviewmanagerial interviewFinal HR Discussion and Proposal Letterdocuments to carryUpdated Resume or CVGovernment-issued photo identity cardEducational Certificate and MarksheetExperience letter and salary slippassport-sized photographsTechnical Certification Documents (if applicable)FAQ1. Is this role suitable for newcomers This role typically requi res prior experience in data engineering or related fields. Freshers with strong project experience may be considered for junior roles. 2. Does Accenture offer work from home option Accenture offers hybrid and flexible working options depending on project and client requirements. 3. What tools will data engineers work with You can work on Python, SQL, Spark, Hadoop, cloud platforms, and ETL tools. 4. What training programs are provided Yes, Accenture offers continuous learning, certification support, and upskilling programs. 5. What career development opportunities are available Data engineers can grow within Accenture into senior data engineers, data architects, analytics leads, or cloud specialists. .
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