EXL Work from Home Jobs 2025; Hiring Data Engineer / Data Analyst – Apply Online Now

EXL Work from Home Jobs 2025; Hiring Data Engineer  Data Analyst

High Salary Remote Data Engineer Jobs | Work From Home IT Jobs | AWS & Big Data Careers

EXL has announced a job vacancy for the post of Data Engineer (Remote – Work from Home). This is one of the best high-paying work from home IT jobs in India for graduates and professionals looking for remote data engineering careers. The posting will be at Remote (WFH) with hiring office based in Noida. Candidates who have completed Graduate / Engineering / Post Graduate with Fresher / Experience are eligible to apply. If you’re looking for AWS data engineer jobs, remote data analyst roles, or cloud data engineering careers in 2025, this opportunity at EXL is a strong career move. More details about qualifications, job description, salary, and roles & responsibilities are as follows:

Name of the CompanyEXL
Required QualificationsGraduate / Engineering / Post Graduate
SkillsData Warehousing, Data Modeling, AWS Cloud, PySpark, SQL
CategoryData Analytics / Cloud Data Engineering
Work TypeRemote (Work From Home) – Hiring Office: Noida

At EXL, collaboration is built on continuous learning, data-driven solutions, and AI-powered digital innovation. They partner with businesses globally to deliver cloud data engineering jobs, machine learning solutions, and scalable IT infrastructure models. Join their dynamic team as a Data Engineer (Remote – WFH), where you’ll work on cutting-edge technologies like PySpark, AWS Glue, Redshift, Lambda, DynamoDB, and Step Functions to power next-gen data-driven decision-making.

Θ Positions: Data Engineer (Remote – WFH)

Θ Job Location: Remote – Hiring Office Noida

Θ Salary: As Per Company Norms (Competitive High Salary for Data Engineers in India)

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Θ Job Type: Full Time (Work From Home IT Jobs)

Θ Requisition ID: 4298858997

Roles and Responsibilities (Remote Data Engineer Jobs India):

  • Build and maintain robust ETL pipelines using PySpark and AWS Glue.
  • Collaborate with business analysts to ensure data quality and availability.
  • Write and optimize SQL queries for large-scale data transformations.
  • Manage version control with Git for collaborative projects.
  • Design and manage data lakes on AWS S3 for scalable storage.
  • Use Amazon DynamoDB and Redshift for high-performance data storage.
  • Create dashboards with Amazon QuickSight for data visualization.
  • Automate workflows with AWS Step Functions, Lambda, and EventBridge.
  • Monitor and optimize big data workflows for scalability.
  • Troubleshoot data integration issues and ensure timely resolution.

Required Skills & Qualifications:

  • Bachelor’s Degree in Computer Science, Data Science, or IT (Master’s preferred).
  • Strong hands-on experience with PySpark, Python, SQL.
  • Proficiency with AWS Cloud Services (Glue, Lambda, S3, Redshift, DynamoDB, Athena).
  • Familiarity with Databricks & Big Data technologies.
  • Excellent problem-solving and communication skills.
  • Ability to work independently in remote environments.

Preferred Skills (High Salary Cloud Data Engineer Careers):

  • Knowledge of data warehousing and data modeling principles.
  • Exposure to Hadoop, Spark, and other big data technologies.
  • AWS Certified Data Engineer or related certification is a plus.

Why Choose EXL Remote Jobs?

  • Opportunity to work in high-paying work from home IT jobs.
  • Hands-on experience with cutting-edge big data and cloud technologies.
  • Career advancement in remote cloud data engineering jobs.
  • Flexible work-life balance with global exposure.

Apply Online:

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3 Replies to “EXL Work from Home Jobs 2025; Hiring Data Engineer / Data Analyst – Apply Online Now”

  1. I am interested in applying for the Data Analyst or similar role at your organization. I have 2 years of experience in data analysis, working with tools such as Excel, SQL, Power BI, and Python to clean, analyze, and visualize data for business decision-making.

    I believe my skills and experience align well with your requirements, and I am confident I can contribute effectively to your team. Please find my resume attached for your review.

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