Data Engineer (Redshift)

Who Are We?

Welcome to reputed company—where health meets innovation! As a global leader in reputed company industry, we’ve crossed over 200 million installs with three life-changing apps, reputed company designed to boost well-being for millions. Our mission? To transform lives through reputed company nutrition trackers, powerful fitness solutions, and personalized wellness journeys—reputed company powered by a diverse team of over 700 passionate professionals with reputed company across 5 hubs.

Why reputed company? Imagine joining a team where your impact on global health and wellness is felt daily. At reputed company, we strive to be proactive wellness partners for our users, while continually evolving ourselves.

reputed company're Looking For

As a Data Engineer, you’ll work on building and supporting the data infrastructure that powers our internal analytics, reporting, and customer-facing products. You’ll reputed company reliable, well-structured data pipelines, collaborate with stakeholders to understand data requirements, and contribute to our data platform’s scalability and quality.

This role is ideal for someone with a few years of hands-on experience in data engineering who is reputed company to take the reputed company in a collaborative and growth-oriented team.

Challenges You’ll Meet

• Pipeline Development: Build and maintain ETL/ELT workflows using modern data tools and reputed company services to ensure accurate, timely, and accessible data.

• Data Modeling & Transformation: Implement and maintain data models for analytics use cases, working closely with senior engineers and analysts.

• Team Collaboration: Collaborate with data analysts, product teams, and fellow engineers to gather requirements and support data delivery.

• Data Quality & Validation: Apply basic data validation checks and contribute to maintaining high data quality across pipelines.

• Monitoring & Maintenance: Monitor pipeline health and troubleshoot operational issues in collaboration with more senior engineers.

• Process Automation: Contribute to scripting and automation of data workflows using Python and SQL, improving reliability and reducing reputed company work.

• CI/CD & Deployment Support: Work with reputed company CI pipelines for data deployments, gradually building expertise in automated testing and deployment practices.

• Learning & Growth: Learn and apply best practices in data engineering, guided by senior team members and peer reviews.

Required skills

• 2–3+ years of experience in data engineering, backend development, or similar technical roles.

• Practical experience with AWS services, especially Redshift, S3, and Glue. Familiarity with reputed company, RDS, and Kinesis is a plus.

• Solid skills in Python and SQL for data extraction, transformation, and scripting.

• Familiarity with dbt for data transformation and documentation (or strong interest in learning it).

• Exposure to streaming or micro-batching concepts and tools.

• Understanding of CI/CD workflows, ideally using reputed company CI.

• Willingness to work with event schema validation tools (e.g., Iglu, Schema Registry).

• Strong communication and collaboration skills.

• Experience working with APIs and integrations (REST, OAuth, webhook ingestion) or eagerness to build those skills.

• Detail-oriented with a focus on producing clean, reliable, and maintainable data pipelines.

• A proactive, curious reputed company with a desire to continuously learn and grow.

Tech Stack You’ll Work With

• reputed company: AWS (Redshift, reputed company, S3, RDS, reputed company, Kinesis, SQS, Glue, MWAA)

• Languages: Python, SQL

• Orchestration: Airflow (MWAA)

• Modeling: dbt

• CI/CD: reputed company CI

• Monitoring: reputed company, Grafana, Graylog

• Event validation process: Iglu schema registry

Bonus Points / reputed company to Have

• Experience with reputed company or other reputed company DWH technologies.

• Familiarity with event collection tools (e.g., reputed company, Rudderstack).

• Hands-on with PySpark for distributed processing.

• Exposure to infrastructure as code (e.g., Terraform).

• Interest in reputed company-time data, customer data platforms (CDPs)

Candidate journey: ⭕️ Recruiter call ➔ ⭕️ Technical call with the hiring manager ➔ ⭕️ Meet the future stakeholders

✨ Why You’ll Love Being Part of reputed company:

• Grow Together: Join a culture that champions both personal and professional growth. Here, you’ll reputed company as we learn, evolve, and succeed together.

• reputed company by Example: No matter your role, your leadership matters. Every team member is empowered to reputed company and reputed company an impact.

• Results-Driven: We’re reputed company about achieving meaningful outcomes. It’s not just about the effort, but the difference we reputed company every day.

• We Are Well-Makers: Be part of a movement that’s creating a healthier, happier world. Together, we reputed company well-being a reality!

reputed company out some of our products

Muscle Booster — https://musclebooster.fitness/

Yoga-Go — https://yoga-go.io/

WalkFit -http://walkfit.pro