hirly is a job-search tool for individual job seekers. It scores live job postings against your resume with a readable A–G breakdown, writes a resume and cover letter tailored to each job, and fills the employer's own application form in your browser. You press submit yourself, or opt in per job to let hirly submit for you.

How is hirly different from auto-apply tools?

Most auto-apply tools optimise for volume, submitting hundreds of generic applications. hirly optimises for fit: it shows which roles are worth applying to and the reasoning behind each score, tailors the resume and cover letter to each specific posting, and leaves the decision to submit with the job seeker.

Does hirly submit applications automatically?

Only if you ask it to, and only for a job you choose. Autonomous submission is opt-in per job and requires explicit recorded consent. The default is that hirly fills the form and you press submit.

How much does hirly cost?

hirly has a free preview rather than a free tier: without paying you see three live openings scored against your resume and read the resume and cover letter hirly writes for each. Applying and downloading need a plan. Pro costs $8.99 a month for 400 ranked matches and 15 applications a day; Autopilot costs $29 a month for 800 matches and 40 a day.

Which job application systems does hirly support?

hirly fills applications on Greenhouse, Lever, Ashby, Workday and other common applicant tracking systems, using a Chrome extension that runs in your own browser under your own session.

Is hirly the recruiter platform?

No. Several unrelated products share the name Hirly, including recruiter and hiring tools. This hirly is at hirly.me and is built for job seekers, not employers. It was previously called Hireloop.

EXL

Data Engineer

India

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hirly's read of this role

Role family: Data & ML
Seniority: Mid level
Country: IN
Work mode: On-site / unstated
First seen by hirly: 25 Sept 2026

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the posting

Description
Job Title: Senior Data Engineer / Analytics Engineer

Experience

8+ Years

Location

Flexible / Hybrid / Remote

Job Summary

We are seeking an experienced Senior Data Engineer / Analytics Engineer with 8+ years of hands-on experience in designing, building, and optimizing scalable data platforms and analytics solutions. The ideal candidate should possess strong expertise in SQL, dbt, AWS, and Python , along with excellent communication and stakeholder management skills. The role involves working closely with business teams, data analysts, architects, and engineering teams to deliver reliable and scalable data solutions.

Key Responsibilities

Design, develop, and maintain scalable data pipelines and ETL/ELT workflows.

Build and manage data transformation frameworks using dbt .

Develop high-performance data models and optimize complex SQL queries.

Implement data ingestion and integration processes from multiple data sources.

Leverage AWS services to build cloud-native data solutions.

Ensure data quality, governance, security, and compliance across data platforms.

Collaborate with business stakeholders to understand requirements and convert them into technical solutions.

Create reusable data models, documentation, and best practices.

Monitor and troubleshoot production data pipelines to ensure reliability and performance.

Mentor junior team members and participate in code reviews and architectural discussions.

Support BI and reporting initiatives by providing curated and trusted datasets.

Required Skills

SQL

Advanced SQL development and performance tuning.

Expertise in data modeling, query optimization, and database design.

Experience working with large-scale relational and analytical databases.

dbt

Strong experience in developing and maintaining dbt projects.

Creating incremental models, snapshots, tests, macros, and documentation.

Understanding of CI/CD integration and deployment practices for dbt.

AWS

Hands-on experience with:

Amazon S3

AWS Glue

AWS Lambda

Amazon Redshift

AWS Athena

IAM and Security Best Practices

CloudWatch Monitoring

EventBridge / Step Functions (preferred)

Python

Strong development experience using Python for data engineering and automation.

Expertise with Pandas, NumPy, and API integrations.

Experience building scalable data processing frameworks.

Additional Technical Skills

Experience with ETL/ELT frameworks.

Knowledge of data warehousing concepts and dimensional modeling.

Exposure to CI/CD tools such as GitHub Actions, Jenkins, or Azure DevOps.

Experience with Airflow or other workflow orchestration tools is preferred.

Familiarity with Agile/Scrum methodologies.

Soft Skills

Strong verbal and written communication skills.

Ability to interact confidently with business stakeholders and leadership teams.

Excellent problem-solving and analytical thinking capabilities.

Experience leading technical discussions and solution design workshops.

Strong collaboration and mentoring skills.

Preferred Qualifications

Bachelor's or Master's degree in Computer Science, Engineering, Information Systems, or related field.

AWS Certification (Associate or Professional level) preferred.

Experience in modern cloud data platforms and analytics ecosystems.

Nice to Have

Snowflake

Databricks

Power BI or Tableau

Data Governance and Data Quality frameworks

Infrastructure as Code (Terraform/CloudFormation)

Responsibilities
Job Title: Senior Data Engineer / Analytics Engineer