Data Engineer

Job summary

The role involves managing huge volumes of data through analysis and wrangling using a Big Data ecosystem. Responsibilities include performance analysis, troubleshooting, and resolution within Cloudera and Linux-based infrastructures.

Job details

Inclusion without Exception Tata Consultancy Services (TCS) is an equal opportunity employer, and embraces diversity in race, nationality, ethnicity, gender, age, physical ability, neurodiversity, and sexual orientation, to create a workforce that reflects the societies we operate in. Our continued commitment to Culture and Diversity is reflected in our people stories across our workforce and implemented through equitable workplace policies and processes. Tata Consultancy Services (BSE: 532540, NSE: TCS) is the technology partner of choice for industry-leading organizations worldwide. Since its inception in 1968, TCS has upheld the highest standards of innovation, engineering excellence and customer service. It has set an aspiration to become the world's largest AI-led technology services company and is enabling its clients to transform themselves across the full AI stack, from infrastructure to intelligence. Rooted in the heritage of the Tata Group, TCS is focused on creating long term value for its clients, its investors, its employees, and the community at large. With a highly skilled workforce spread across 56 countries and 194 service delivery centers across the world, the company has been recognized as a top employer in six continents. With the ability to rapidly apply and scale new technologies, the company has built long term partnerships with its clients. Many of these relationships have endured into decades and navigated every technology cycle, from mainframes in the 1970s to artificial intelligence today. 1. Good Years of experience 2. Strong experience in Kafka, Spark, Scala,SQL ,Hive, Impala, Hadoop, Splunk, Autosys. 3. Data Analysis and Data Wrangling skills when dealing with Huge Volume. 4. Performance analysis, troubleshooting and resolution including Cloudera Big Data eco system. 5. Experience with Linux-based infrastructures. Competencies: • Strong verbal and written communication skills; ability to face off to business users • Self-motivated individual and with determination to achieve goals • Willingness to learn, both technically and professionally • Strong analytical and problem-solving skills • Good team working skills and ability to work in a distributed global team environment• Ability to work on a fast-pace environment; Flexible and able to deliver quality results in the required timeframe Salary Range - CA$ 100,000 - CA$ 120,000 Per Year TCS does not use artificial intelligence tools for candidate screening or evaluation. This post is for a current vacancy. The hiring process includes an initial screening, followed by a technical evaluation and managerial discussion. Tata Consultancy Services Canada Inc. is committed to meeting the accessibility needs of all individuals in accordance with the Accessibility for Ontarians with Disabilities Act (AODA) and the Ontario Human Rights Code (OHRC). Should you require accommodation during the recruitment and selection process, please inform Human Resources. Thank you for your interest in TCS. Candidates that meet the qualifications for this position will be contacted within a 2-week period. We invite you to continue to apply for other opportunities that match your profile.

What you’ll do

The role involves managing huge volumes of data through analysis and wrangling using a Big Data ecosystem. Responsibilities include performance analysis, troubleshooting, and resolution within Cloudera and Linux-based infrastructures.

Requirements

Candidates need strong experience with Kafka, Spark, Scala, and the Hadoop ecosystem. Strong communication skills and the ability to work in a fast-paced, distributed global team environment are required.

Listed skills

• SQL · Preferred
• Splunk · Preferred
• Data analysis · Preferred
• Troubleshooting · Preferred
• Linux · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

• Kafka
• Spark
• Scala
• SQL
• Hive
• Impala
• Hadoop
• Splunk
• Autosys
• Data Analysis
• Data Wrangling
• Performance Analysis
• Troubleshooting
• Cloudera Big Data
• Linux

Job areas

• Data & Analytics
• Technology
• Engineering
• Consulting
• Software