About the job
Must-Have Skills
- 5+ years in data architecture / data engineering, with at least 2+ years in an architect or lead capacity
- Strong SQL — advanced query optimization, indexing, partitioning strategies
- Data modeling — dimensional modeling (star/snowflake schema), normalization/denormalization tradeoffs, entity relationship design
- Cloud data platforms — hands-on with AWS (Redshift, S3, Glue), Azure (Synapse, Data Factory), or GCP (BigQuery, Dataflow)
- Big data ecosystems — Spark, Hadoop, or Kafka for large-scale/streaming data
- Data warehousing — Snowflake, Redshift, BigQuery, or Databricks
- ETL/ELT pipeline design — Airflow, dbt, Fivetran, or similar orchestration tools
- Data governance & security — data lineage, access control, compliance (GDPR/SOC2), master data management
Strongly Preferred
- Experience architecting systems supporting ML/AI pipelines (feature stores, vector DBs, real-time inference data flows)
- Programming — Python or Scala for pipeline development
- API/microservices architecture exposure — understanding how data systems integrate with application layers
- Experience with data mesh / data lake house architectures
- Prior experience presenting architecture decisions to leadership/stakeholders

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- Demonstrate strong selling and influencing skills
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Click here for more information: https://www.robylon.ai/
Role: GCP Data Engineer
Notice Period: Immediate Joiners
Experience: 5+ years
Location: Remote
Company: Deqode
About Deqode
At Deqode, we work with next-gen technologies to help businesses solve complex data challenges. Our collaborative teams build reliable, scalable systems that power smarter decisions and real-time analytics.
Key Responsibilities
- Build and maintain scalable, automated data pipelines using Python, PySpark, and SQL.
- Work on cloud-native data infrastructure using Google Cloud Platform (BigQuery, Cloud Storage, Dataflow).
- Implement clean, reusable transformations using DBT and Databricks.
- Design and schedule workflows using Apache Airflow.
- Collaborate with data scientists and analysts to ensure downstream data usability.
- Optimize pipelines and systems for performance and cost-efficiency.
- Follow best software engineering practices: version control, unit testing, code reviews, CI/CD.
- Manage and troubleshoot data workflows in Linux environments.
- Apply data governance and access control via Unity Catalog or similar tools.
Required Skills & Experience
- Strong hands-on experience with PySpark, Spark SQL, and Databricks.
- Solid understanding of GCP services (BigQuery, Cloud Functions, Dataflow, Cloud Storage).
- Proficiency in Python for scripting and automation.
- Expertise in SQL and data modeling.
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- Familiar with Git for version control and collaborative development.
- Understanding of data pipeline optimization, monitoring, and debugging.
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Business Development is a critical aspect of our platform business.
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2. Calling 65-70 leads every day
3. Setting up meetings with potential clients (parents)
4. Generating Trial Classes - Pitch Parents to take PlanetSpark Trial Classes
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1. Proficiency in English
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1. Willing to work 5 days a week in a fast-paced startup
2. Ready to work from Office and join immediately.
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1. In your training of 1st month, we shall actively probe you through the process using Training Decks, Live Experiences, and Re-Training Programs that aim to give you an overall Learning experience along with your paid stipend along the journey.
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India Shift – INR 6.6 LPA (4.23 LPA Fixed + 2.4 LPA Variable)
US/ Canada Shift - INR 7.10 LPA (4.8 Fixed + 2.3 LPA Variable)
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Minimum Education: Graduation
2018, 2019, 2020,2021,2022.
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