Data & DevOps Engineer (3+ yrs)

Full-time Pune, work from office

Atica is a leading, tech-first remote sales & revenue management company for Hotels and Hotel operators in the US, enabled by a unified tech-led solution. We are a startup, funded by the top investors in the country, like Titan Capital, DIBS. As innovators at the forefront of the industry, we strive to deliver the highest quality service to all our clients while setting new standards for efficiency and effectiveness. Our team aspires to build high-quality, innovative & robust software that makes an impact!

We are seeking a passionate and talented Data & DevOps Engineer to join our dynamic team. The selected candidate will contribute to designing, developing, maintaining and improving data systems that deliver impact for team Atica and it's customers. If you are a hands-on builder with significant experience in managing scalable systems/services, look no further!

Key Responsibilities

Develop and maintain scalable data systems and integrations to support continuing increase in data volume and complexity

Cloud infrastructure - complete ownership of the AWS infrastructure, ensuring system uptime, scalability, appropriate monitoring, cost optimization

Collaborate with product and business teams to improve data models that feed business intelligence tools, increasing data accessibility and fostering data-driven decision making across the organization

Implement processes and systems to monitor data completeness/hygiene/quality, ensuring production data is always accurate and available for key stakeholders and business processes that depend on it

Perform data analysis required to troubleshoot data related issues and assist in the resolution of data issues

Design data integrations and data quality framework

Work closely with all business units, product and engineering teams to develop strategy for long term data platform architecture

Data infrastructure - Develop and maintain data pipelines for efficient data extraction, transformation, and loading (ETL) processes

Ensure data models are designed for scalability, reusability, and flexibility

Implement data quality checks, validations, and monitoring processes to ensure data accuracy and integrity across cloud environments

Adhere to data governance standards and best practices to maintain data security and compliance

Handling performance optimizations in the cloud environment

Maintain comprehensive documentation for data pipelines, processes, and architecture within all environments including best practices, standards, and procedures

Skill Sets We Require

Strong proficiency in cloud platforms such as AWS or Google Cloud Platform

Strong programming skills in at least one scripting language like python, js, etc.

Experience in DevOps and CI/CD implementation and at-scale management

Knowledge of data warehousing and ETL/ELT processes

Familiarity with databases (SQL, NoSQL)

High attention to detail, a strong desire to learn, and the resilience to work in a fast-paced, customer-centered environment

Current Stack

Cloud platform: AWS

Java + Springboot microservice

MongoDB (hosted on Atlas)

n8n - business workflows and orchestration

Postgres as OLAP

Data warehouse - ClickHouse

Additional self-managed services - appsmith, bitwarden, grafana, web-scraper, metabase

Airbyte (ETL/ELT pipelines)

Preferred (Not Required)

Bachelor's/Master's degree in Computer Science Engineering or equivalent

3+ Years of hands-on experience in designing and executing data solutions on AWS as a Data/Cloud Engineer

Hands-on experience on rundeck and web/email crawling technologies

Familiarity with cloud data warehouse like ClickHouse, Snowflake, etc.

Public cloud certifications are desired

Perks & Benefits

Competitive salary

Comprehensive Health Care benefits (OPD + IPD)

Team events

Apply if you are seeking an opportunity to make an impact and want to be part of a dynamic team, creating cutting-edge innovative solutions for the hotel industry. Atica is proud to be an equal opportunity employer. All qualified applicants will receive consideration without regard to race, color, religion, gender, national origin

Full time