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Convegenius

Junior Data Engineer

Shimla · Mid Level

Good timing - competition is buildingVerified listingPosted 5d ago

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86Overall
64Skills
97Experience

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What we know about this role

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MEDIUM

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First 72 hours

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Skills required

19 listed
Data Warehouse ArchitecturesCI/CDQuery PerformanceAmazon Web ServicesExtract Transform Load (ETL)PysparkAWS Elastic MapReduce (EMR)Git (Version Control System)+11 more
Data Warehouse ArchitecturesCI/CDQuery PerformanceAmazon Web ServicesExtract Transform Load (ETL)

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Job description

Role Overview

We are looking for a Junior Data Engineer to join our Data Platform team. You will design and maintain scalable data pipelines and architectures using AWS services, enabling reliable data movement, transformation, and analytics at scale. You will collaborate with analytics, product, and engineering teams to support reporting, dashboards, and insights for millions of students and schools.

Key Responsibilities

  • Design, build, and maintain ETL/ELT pipelines for large-scale data ingestion, transformation, and loading.
  • Develop and optimize Spark and PySpark jobs for batch and real-time data processing.
  • Work with AWS services (S3, Glue, Lambda, Redshift, Athena, EMR) to manage the data ecosystem.
  • Support the design and implementation of Data Lake and Data Warehouse architectures.
  • Implement data validation, partitioning, and schema management for efficient query performance.
  • Collaborate with data analysts and BI teams to ensure data availability and consistency.
  • Maintain data lineage, metadata, data quality, and governance.
  • Implement monitoring and alerting for data pipelines.
  • Use Git and CI/CD tools to manage code and automate deployment of data workflows.

Qualifications

  • Education: Bachelor's degree in Computer Science, Information Technology, Data Engineering, or a related field.
  • Experience: 3–5 years of hands-on experience in data engineering, pipeline development, or cloud-based data systems.
  • Core Skills: Strong knowledge of SQL and Python/PySpark.
  • Cloud & Data Stack: Practical experience with AWS (S3, Glue, Lambda, Redshift, Athena, EMR, Step Functions).
  • Architecture: Solid understanding of Data Lake architecture, ETL/ELT frameworks, and data warehousing concepts.
  • Frameworks: Familiarity with Delta Lake, Spark SQL, or other big data frameworks, along with data modeling and performance tuning.

Nice to Have

  • Exposure to GCP (BigQuery, Dataflow) or Azure (Data Factory, Synapse, Databricks).
  • Experience with Databricks, PostgreSQL, MySQL, NoSQL, or Airflow.
  • Understanding of DevOps practices, CI/CD pipelines, and infrastructure automation.
  • Prior experience in an EdTech or public data ecosystem.

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All open roles at Convegenius

Two ways in

Applicants who checked fit first are 3.1× more likely to hear back

Your match scoreCalculated · locked
86Overall
64Skills
97Experience

Your score for this role already exists

ASAI compared this JD against 41 signals - skills, seniority, domain, stack overlap etc. Add a resume and it unlocks in about 30 seconds.

No credit card · 1 tap with Google

Free · no signup

Get tomorrow's jobs before you have to search

Daily job drops, skill trends and free resources - posted straight to the group. Leave any time.

Join WhatsAppJoin Telegram

No spam. Just jobs and resources.

Why people use ASAI

Someone shared one job with you. ASAI keeps finding the rest.

  • Scored, not searched. Every role ranked against your actual profile.

  • Alerts as often as hourly. Reach new roles while the pile is still small.

  • Skill gaps, spelled out. See exactly which requirements you don't meet yet.

  • Verified jobs, only. Say no to ghost jobs. Your time deserves respect.

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