Data Engineer Job Opportunity at Ericsson | On-site Role in Noida

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Ericsson Recruitment Drive:

Explore an Exciting Career Opportunity: Data Engineer | On-site Role in Noida
Are you passionate about transforming data into meaningful insights that drive business success? Ericsson is looking for a motivated Data Engineer to join our team in Noida. As a Data Engineer at Ericsson, you’ll develop and optimize data pipelines and models for advanced analytics solutions. This is your chance to make a real impact while working with cutting-edge technologies in a forward-thinking environment!

𝐏𝐚𝐲 𝐀𝐟𝐭𝐞𝐫 𝐏𝐥𝐚𝐜𝐞𝐦𝐞𝐧𝐭 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 𝐏𝐫𝐨𝐠𝐫𝐚𝐦- 𝐆𝐞𝐭 𝐏𝐥𝐚𝐜𝐞𝐝 𝐈𝐧 𝐓𝐨𝐩 𝐌𝐍𝐂’

Overview

  • Job Position: Data Engineer
  • Job Location: Noida, India (On-site)
  • Salary Package: Competitive salary based on industry standards
  • Full/Part Time: Full Time
  • Req ID: NA
  • Education Level: Degree in Computer Science, Engineering, or related fields

Qualifications

  • Strong experience in building and optimizing data pipelines and data models
  • Expertise in understanding business workflows and data preparation
  • Advanced skills in SQL and relational databases
  • Experience with Big Data tools like Hadoop, Spark, Kafka, BigQuery, and GCP
  • Knowledge of stream-processing systems (Storm, Spark-Streaming)
  • Proficiency in object-oriented programming (Python, Java, C++, Scala)
  • Expertise in Kubernetes for managing cloud-based environments

Roles and Responsibilities

  • Develop and deliver efficient data solutions to support business needs by creating and optimizing data pipelines and models
  • Convert business requirements into actionable plans, roadmaps, and release schedules
  • Collaborate in backlog prioritization and sprint planning while managing risks
  • Ensure alignment with analytics architecture, performing tests and validations
  • Monitor data quality and implement proactive measures to ensure integrity
  • Support deployment, troubleshoot user-reported issues, and drive continuous improvements through incident analysis

Skills Required

  • Proficient in SQL, Python/Java
  • Experience with GCP Big Query, cloud environments, and data management tools
  • Familiarity with Apache Kafka, Cassandra, Postgres, Hadoop
  • Strong understanding of stream-processing systems
  • Hands-on experience with Kubernetes

Job Description:-

In this Data Engineer role at Ericsson, you will create and manage scalable data pipelines that support our advanced analytics solutions. You will leverage technologies like Hadoop, Kafka, and GCP Big Query to optimize data flow and maintain the integrity of our data lakes and warehouses. This is an opportunity to work with a diverse team on innovative data projects that drive real-world business impact.

Ericsson Recruitment Drive Application Process:-

Apply In Below Link

Apply Link:- Click Here To Apply (Apply before the link expires)

Click Here To Apply

Note:– Only shortlisted candidates will receive the call letter for further roundsTop MNC’s Hiring Across India , Upload Your Resume

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Interview Preparation Tips

How to Prepare for a Data Engineer Interview at Ericsson?

Important Interview Preparation Tips
To ace your interview:

  • Data Pipeline Mastery: Be prepared to explain data pipelines, data lakes, and warehouses.
  • SQL Expertise: Demonstrate your ability to write complex SQL queries efficiently.
  • Python/Java Proficiency: Showcase your coding skills and problem-solving abilities.
  • Cloud Technology Knowledge: Discuss your experience working with GCP and handling large datasets.
  • Problem-Solving Examples: Be ready to share instances where you improved a data process.

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Study Material for Data Engineer Interview at Ericsson

  1. Books to Read:
    • “Designing Data-Intensive Applications” by Martin Kleppmann
    • “Big Data: Principles and Best Practices” by Nathan Marz
  2. Top Online Courses:
    • Data Engineering on Google Cloud (Coursera)
    • Apache Hadoop and Spark for Data Engineers (Udemy)
  3. Recommended Industry Websites:
    • Towards Data Science
    • Data Engineering Weekly
  4. YouTube Channels for Learning Big Data Tools:
    • Hadoop In Real World
    • Data School

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Need personalized preparation? Kaabil Jobs offers comprehensive services, including mock interviews, tailored study plans, and expert guidance to help you succeed in your Interviews.
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Probable Questions and Answers for Data Engineer Interview at Ericsson

1. Can you describe the components of a data pipeline?
Answer: A data pipeline typically includes data ingestion, transformation (ETL), and storage, enabling seamless data flow from various sources to final analysis points.

2. How do you ensure data quality in a data pipeline?
Answer: I implement validation rules at each stage, conduct periodic checks, and monitor data metrics to maintain high data quality throughout the process.

3. What is your experience with Big Data tools like Hadoop and Spark?
Answer: I have hands-on experience in using Hadoop for distributed data storage and Spark for real-time data processing, enabling efficient handling of large datasets.

4. How would you optimize an underperforming SQL query?
Answer: I analyze the query’s execution plan, optimize indexes, refactor subqueries, and enhance the database schema to improve performance.

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1. How do you manage tight deadlines and multiple projects?
Answer: I prioritize tasks based on impact and deadlines, communicate with my team, and use project management tools to stay organized and efficient.

2. Tell us about a time you improved a data process.
Answer: In my previous role, I optimized an ETL process, reducing its runtime by 25%, which significantly enhanced data accuracy and decision-making efficiency.

3. How do you stay updated with the latest trends in data engineering?
Answer: I regularly follow industry blogs, attend data engineering conferences, and take courses to stay at the forefront of data engineering advancements.

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