Paypal Hiring data engineer Freshers / in chennai

Paypal Recruitment Drive:

Xoom, a PayPal Service, is Hiring Data Engineers – Join our fast-paced environment and help drive innovative solutions that empower millions of customers globally. We are looking for a highly motivated Data Engineer with a passion for transforming large datasets into actionable business insights. If you’re ready to craft customized products, deliver world-class performance management solutions, and be part of the next generation of data-driven decision-making, apply now! Opportunities are available in Chennai and Bengaluru.

Head over to Kaabil Jobs for more information and start your journey toward an exciting career at Xoom!

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

Overview

Job Position: Data Engineer
Job Location: Chennai, Bengaluru, India
Salary Package: Not Disclosed
Full/Part Time: Full Time, Permanent
Req ID: NA
Education Level: Bachelor’s degree/ Any Graduation

Qualifications

Bachelor’s Degree in a quantitative field: Finance, Economics, Mathematics, Statistics, Engineering, Computer Science, or a related discipline (Master’s degree is a plus).
2+ years of experience managing ETL processes from various data sources using advanced SQL and Jupyter Notebooks.
2+ years of experience with data visualization tools such as Looker or Tableau.
2+ years of experience with Python scripting for data manipulation and analysis.
Experience working in the Fintech/Banking/Credit/Payment industry is a strong advantage.
Strong knowledge of business intelligence (BI) tools and driving actionable insights from large datasets.

Roles and Responsibilities

End-to-End BI Lifecycle: Manage the entire business intelligence lifecycle, from data extraction (ETL) to data visualization, ensuring seamless operations.
Data Analysis: Dive into key business trends and translate complex data into actionable insights for decision-making.
Dashboard Development: Prototype and build BI dashboards rapidly using agile methodologies.
Data Visualization: Craft data visualizations that drive actionable business insights.
Data Quality Management: Identify and address data inconsistencies to maintain high data quality.
Data Flow Design: Strategically design scalable data flows and become an expert in handling diverse data sources.
Collaboration: Work closely with business teams to deliver key metrics and insights on time.
Continuous Improvement: Enhance team workflows using innovative technologies and automation.

Skills Required

ETL Expertise: Ability to manage data extraction, transformation, and loading (ETL) from multiple data sources with advanced SQL and Jupyter Notebooks.
Data Visualization: Expertise in building compelling dashboards and visualizations using Looker, Tableau, or similar tools.
Python Scripting: Advanced proficiency in Python scripting for data analysis and automation of workflows.
Data Analytics: Experience analyzing large datasets and transforming them into strategic insights.
Business Intelligence: Knowledge of BI tools to empower data-driven decisions and performance management.
Problem Solving: Ability to identify data inconsistencies and recommend data quality improvements.
Collaboration: Strong communication skills to collaborate with cross-functional teams and stakeholders.

Job Description:-

As a Data Engineer at Xoom, you will leverage your expertise in building and managing data pipelines to support critical business decisions. You will work with large-scale, complex datasets, transforming raw data into actionable insights that drive company-wide initiatives. Responsibilities include:

Building and maintaining data pipelines: You will design, implement, and optimize data workflows, ensuring efficient extraction, transformation, and loading (ETL) of data from multiple sources.
Data warehousing solutions: Apply specialized knowledge in data warehousing by building scalable solutions that enhance data accessibility and analytics.
Ensuring data quality: Troubleshoot and resolve data inconsistencies, ensuring data accuracy and availability for reporting and business analytics.
Cross-functional collaboration: Partner with cross-functional teams to interpret business requirements, solve problems, and implement data-driven solutions that empower stakeholders.
Expertise in SQL and Python: Utilize your skills in SQL and Python to process, manipulate, and analyze large datasets, providing actionable insights to drive strategic business decisions.
Integration of emerging practices: Stay up to date with the latest trends in data engineering, implementing new tools and techniques to continuously improve data workflows.
Automation and efficiency: Develop and integrate automation technologies to enhance data observability, streamline processes, and improve overall system efficiency.

The impact of the Data Engineer role at Xoom extends across the organization, driving data-driven projects and delivering high-quality insights to empower business leaders. Your contributions will support the company’s strategic goals and ensure seamless data operations.

Paypal 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 Xoom?

Important Interview Preparation Tips

Data Fundamentals: Review data structures, algorithms, and relational databases (SQL). Be prepared to demonstrate your proficiency in handling data extraction, transformation, and loading (ETL) processes.
Programming Proficiency: Practice Python scripting, focusing on data manipulation and automation. Additionally, prepare to solve problems using advanced SQL.
Data Visualization Tools: Brush up on tools like Looker or Tableau. Be ready to discuss your experience in building dashboards and how you’ve translated data into actionable insights.
Business Intelligence: Show how you’ve led BI initiatives, focusing on end-to-end solutions. Be prepared to share examples of how you’ve analyzed large datasets and transformed them into meaningful business insights.
Fintech Experience: Xoom operates in the fintech space, so experience in the finance, banking, or payments industry will be beneficial. Be ready to discuss your experience in these sectors.

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Study Material for Data Engineer Interview at Xoom.

Must-Read Books:
- “Data Science for Business” by Foster Provost and Tom Fawcett
- “SQL for Data Scientists” by Renee M. P. Teate
- “Python for Data Analysis” by Wes McKinney
Top Online Courses:
- Data Engineering on Google Cloud Platform (Coursera)
- Data Science and Machine Learning with Python (Udemy)
- Tableau 2023 A-Z: Hands-On Tableau Training for Data Science (Udemy)
Essential Websites:
- LeetCode (for SQL practice)
- Mode Analytics (for SQL queries and BI)
- DataCamp (for Python and SQL tutorials)
Free YouTube Channels:
- Tech With Tim (Python tutorials)
- Alex The Analyst (Data Engineering tutorials)
- Data School (SQL, data analytics, and visualization)

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Need more tailored advice for your Xoom Data Engineer interview? Kaabil Jobs offers customized interview coaching, mock interviews, and expert advice to help you secure your dream role. Sign up today!

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Probable Questions and Answers for Data Engineer Interview at Xoom

Technical Questions and Answers for Data Engineer Interview at Xoom

1. What is your experience with ETL processes?

Answer: I have extensive experience with ETL processes, managing data extraction, transformation, and loading from various sources. I’ve used tools like Apache NiFi and Talend to design efficient ETL workflows, ensuring data quality and integrity throughout the pipeline.

2. How do you ensure data quality in your data pipelines?

Answer: I implement data validation checks at every stage of the ETL process, such as validating data formats and ranges. Additionally, I utilize logging mechanisms to capture anomalies and set up alerting systems to proactively address any data quality issues that arise.

3. Can you explain the difference between structured and unstructured data?

Answer: Structured data is highly organized and easily searchable in relational databases, such as data in tables. Unstructured data, on the other hand, lacks a predefined format, making it more challenging to analyze; examples include text files, images, and social media posts.

4. Describe your experience with data visualization tools.

Answer: I have used tools like Tableau and Looker to create compelling dashboards and visualizations. My focus has been on translating complex datasets into easily understandable visuals, allowing stakeholders to derive insights and make data-driven decisions effectively.

5. How do you optimize SQL queries for better performance?

Answer: To optimize SQL queries, I focus on indexing important columns, avoiding unnecessary joins, and using WHERE clauses effectively. I also analyze query execution plans to identify bottlenecks and make adjustments based on performance metrics.

6. What strategies do you use for managing large datasets?

Answer: I leverage distributed computing frameworks like Apache Spark for processing large datasets efficiently. Additionally, I utilize partitioning and bucketing techniques to enhance data retrieval times and manage data growth.

By preparing for these types of technical questions, you’ll be ready to demonstrate your expertise and problem-solving skills during a Data Engineer interview at Xoom.

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Non-Technical Questions and Answers for Data Engineer Interview at Xoom

1. How do you prioritize tasks in a fast-paced environment?

Answer: I prioritize tasks based on urgency and impact. I maintain a task list and assess deadlines, communicating with stakeholders to align on priorities and ensure timely delivery of critical projects.

2. Describe a challenging project you worked on. How did you overcome the challenges?

Answer: In a previous role, I worked on migrating our data warehouse to a new cloud platform. The challenge was ensuring minimal downtime. I created a detailed migration plan, conducted tests, and implemented the migration during off-peak hours, successfully completing it with no data loss.

3. How do you handle disagreements with team members?

Answer: I approach disagreements by facilitating open discussions to understand different perspectives. I focus on finding common ground and emphasizing collaboration to reach a solution that aligns with our project goals.

4. What motivates you to work in data engineering?

Answer: I am motivated by the potential of data to drive impactful business decisions. Solving complex data challenges and seeing how my work contributes to organizational success fuels my passion for data engineering.

5. How do you stay current with industry trends and technologies?

Answer: I regularly read industry blogs, participate in webinars, and engage with data engineering communities online. I also take relevant online courses to enhance my skills and apply new techniques in my projects.

These questions and answers should help you prepare for both the technical and non-technical aspects of the interview at Xoom!

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