Senior Data Engineer (Dataform, BigQuery)
Staffnix
- Location
- Gurugram, Haryana, India
- Job type
- Full-time
Required skills
- Python
- AWS
- Azure
- BigQuery
- data engineer
- data pipeline
- end-to-end
- ETL
- GCP
- GCS
- Spark
- SQL
About the role
Website:
staffnix.com
Job details:
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
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.
NOTE - Please conduct a thorough screening call and capture accurate candidate details. Inform candidates that there will be an interview drive scheduled on 28th and 29th March, and if shortlisted, they will be expected to be available on these dates. Only Immediate joiners are considered
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