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Engineering💼 FullTime

Data Engineer at ShyftLabs

Unknown
1 day ago
Location

Noida, Uttar Pradesh

Salary

₹12-20 LPA

Apply By

ASAP

Views

7

Eligible Batches

🎓 Freshers Batch🎓 2024 Batch🎓 2025 Batch🎓 2026 Batch

Job Description

Join a growing data product company and accelerate business growth with innovative digital solutions. Collaborate with Fortune 500 companies and gain industry insights.

Roles & Responsibilities

Develop scalable data pipelines and architectures Design and implement data processing systems Collaborate with cross-functional teams to drive business outcomes

Requirements

Strong knowledge of data engineering concepts and practices Experience with data processing frameworks (Apache Beam, Spark) Proficiency in SQL and data modeling Excellent problem-solving and analytical skills

Nice to Have

Experience with cloud-based data platforms, data engineering tools, and big data technologies. Familiarity with data visualization tools like Looker and Tableau. Knowledge of data governance, data quality, and data security best practices.

Eligibility Criteria

B.E./B.Tech or equivalent degree (2024/2025/2026 Batch)

Tech Stack & Ecosystem

Data EngineeringApache BeamApache SparkSQLData ModelingProblem Solving

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Quick Info

TypeFullTime
RoleData Engineer
Work Mode🏢 On-site
Eligible Batches
Freshers202420252026

Tech Stack

Data EngineeringApache BeamApache SparkSQLData ModelingProblem Solving

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Career Advice

Company Insights

Working at ShyftLabs, a fast-growing data product company, offers an unparalleled opportunity to shape the future of business growth. Employees at ShyftLabs collaborate with Fortune 500 companies to deliver innovative digital solutions, gaining valuable industry insights and expertise. As a data engineer at ShyftLabs, you'll be part of a dynamic team driving business outcomes through data-driven approaches, making it a great career move for those interested in the intersection of technology and business.

Interview Guide

To prepare for an interview as a data engineer at ShyftLabs, focus on showcasing your expertise in data engineering concepts and practices. Practice whiteboarding data processing algorithms and data modeling exercises to demonstrate your analytical skills. Additionally, review case studies of real-world data engineering projects and be prepared to discuss how you would apply data engineering principles to drive business outcomes. During the interview, highlight your ability to collaborate with cross-functional teams and adapt to changing project requirements, showcasing your flexibility and willingness to learn.