Engineer

Tata Consultancy Services is seeking an Engineer to support business-critical technology applications. The role focuses on developing and managing real-time data processing solutions using Kafka, Redis, Python, and related Big Data, cloud, machine learning, and data analytics technologies.

Responsibilities

• Proficiency in real-time streaming technologies like Kafka (KStreams, KTable)
• Strong knowledge of NoSQL databases like Redis, MongoDB, or HBase
• Proficiency in programming languages such as Python, Scala, Java, and Bash/Shell Scripting
• Excellent problem-solving abilities and the capability to deliver effective solutions for business-critical applications
• Strong understanding of distributed systems, data partitioning, and fault-tolerant architectures
• Experience with additional real-time streaming technologies like Flink or Storm
• Familiarity with Cloud Technologies such as Azure, AWS, or GCP
• Working knowledge of machine learning algorithms, statistical analysis, and programming languages (Python or R) to conduct data analysis and develop predictive models
• Proficiency in Data Integration and Data Security within real-time and Big Data ecosystems, including knowledge of Kerberos
• Strong command of Visual Analytics Tools, with a focus on Tableau

Skills

• BACHELOR OF COMPUTER SCIENCE
• Kafka
• Spark
• Bachelor's or Master's degree in Science or Engineering, or a related field
• Minimum of 5 years of industry experience, with at least 3 years focused on hands-on work in Big Data and real-time data processing technologies
• Proficiency in real-time streaming technologies like Kafka (KStreams, KTable)
• Strong knowledge of NoSQL databases like Redis, MongoDB, or HBase
• Proficiency in programming languages such as Python, Scala, Java, and Bash/Shell Scripting
• Excellent problem-solving abilities and the capability to deliver effective solutions for business-critical applications
• Strong understanding of distributed systems, data partitioning, and fault-tolerant architectures
• Experience with additional real-time streaming technologies like Flink or Storm
• Familiarity with Cloud Technologies such as Azure, AWS, or GCP
• Working knowledge of machine learning algorithms, statistical analysis, and programming languages (Python or R) to conduct data analysis and develop predictive models
• Proficiency in Data Integration and Data Security within real-time and Big Data ecosystems, including knowledge of Kerberos
• Strong command of Visual Analytics Tools, with a focus on Tableau
• Primary Skil:  Kafka
• Secondary: Redis, Python
• Experience: Minimum 9 years

Benefits

• Discretionary Annual Incentive
• Medical & Health coverage
• Dental & Vision coverage
• Disability Planning & Insurance
• Pet Insurance Plans
• Maternal & Parental Leaves
• Auto & Home Insurance
• Identity Theft Protection
• Commuter Benefits
• Certification & Training Reimbursement
• Vacation
• Time Off
• Sick Leave
• Holidays
• Legal Assistance
• 401K Plan
• Performance Bonus
• College Fund
• Student Loan Refinancing

Company Overview

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