Note-“Urgently Hiring – Immediate Joiners Preferred”
Data Engineering
Role & Responsibilities
We are looking for a strong Data Engineer to join our growing team. The ideal candidate brings solid ETL fundamentals, hands-on pipeline experience, and cloud platform proficiency — with a preference for GCP/BigQuery expertise.
Responsibilities:
- Design, build, and maintain scalable data pipelines and ETL/ELT workflows
- Work with Dataform or dbt to implement transformation logic and data models
- Develop and optimize data solutions on GCP (BigQuery, GCS) or AWS/Azure
- Support data migration initiatives and data mesh architecture patterns
- Collaborate with analysts, scientists, and business stakeholders to deliver reliable data products
- Apply data governance and quality best practices across the data lifecycle
- Troubleshoot pipeline issues and drive proactive monitoring and resolution
Ideal Candidate
- Strong Data Engineer Profile
- Mandatory (Experience 1) – Must have 6+ years of hands-on experience in Data Engineering, with strong ownership of end-to-end data pipeline development.
- Mandatory (Experience 2) – Must have strong experience in ETL/ELT pipeline design, transformation logic, and data workflow orchestration.
- Mandatory (Experience 3) – Must have hands-on experience with any one of the following: Dataform, dbt, or BigQuery, with practical exposure to data transformation, modeling, or cloud data warehousing.
- Mandatory (Experience 4) – Must have working experience on any cloud platform: GCP (preferred), AWS, or Azure, including object storage (GCS, S3, ADLS).
- Mandatory (Core Skill 1) – Must have strong SQL skills with experience in writing complex queries and optimizing performance.
- Mandatory (Core Skill 2) – Must have programming experience in Python and/or SQL for data processing.
- Mandatory (Core Skill 3) – Must have experience in building and maintaining scalable data pipelines and troubleshooting data issues.
- Preferred (Experience 1) – Exposure to data migration projects and/or data mesh architecture concepts.
- Preferred (Skill 1) – Experience with Spark/PySpark or large-scale data processing frameworks.
- Preferred (Company) – Experience working in product-based companies or data-driven environments.
- Preferred (Education) – Bachelor’s or Master’s degree in Computer Science, Engineering, or related field
.
Shubham Vishwakarma
Full Stack Developer - Averlon
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- Experience : 3 to 8 Years
- Number of Positions : 6
- Job Location : Hyderabad (Onsite – In-Person Interview)
- Interview Date : 18th June 2025
- Notice Period : Immediate to 15 days preferred
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* 2–3 years’ experience in Life Insurance Sales / Channel Partner Management
* Strong knowledge of insurance products & regulations
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Education - relevant degree in Engineering preferable
Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon