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LatentView

Analyst - Data Engineering

Bengaluru · Entry Level

Recently posted - highest visibilityVerified listingPosted 18h ago

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Your match scoreCalculated · locked
86Overall
64Skills
97Experience

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What we know about this role

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First 72 hours

Still inside it - posted 18h ago

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The first time we've seen this listing - it hasn't been closed and reopened.

Skills required

13 listed
Power BIExtract Transform Load (ETL)SQL (Programming Language)AirflowTableau (Business Intelligence Software)Git (Version Control System)Python (Programming Language)Pyspark+5 more
Power BIExtract Transform Load (ETL)SQL (Programming Language)AirflowTableau (Business Intelligence Software)

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Job description

Designation: Analyst - Data Engineering
Experience: 1 to 3 Years
Location: Bengaluru

Job Description:

Data Engineer with at least 1 year of hands-on experience to support the design, development, and maintenance of data pipelines, processing workflows, and reporting infrastructure. This role will work closely with senior engineers and analysts to ensure reliable, well-structured data is available for dashboards, reporting, and downstream analytics.

Responsibilities:

Build and maintain ETL/ELT pipelines to ingest, transform, and load data from multiple sources into data warehouses or lakes.

Write and optimise SQL queries for data extraction, transformation, and validation.

Support and monitor scheduled data jobs/notebooks (e.g., Dataproc, Airflow, or similar orchestration tools), troubleshooting failures and data quality issues.

Assist in developing and maintaining dashboards and reports (e.g., Looker, Power BI, Tableau) in collaboration with business/analytics teams.

Perform data validation and reconciliation to ensure accuracy and consistency across systems.

Document data pipelines, schemas, and processes for team knowledge sharing.

Respond to data-related incidents/tickets within agreed SLAs, escalating complex issues to senior engineers.

Collaborate with cross-functional teams (analysts, product, business stakeholders) to understand data requirements.

Follow coding, version control (Git), and data governance best practices.

Participate in code reviews and continuously learn from senior team members.


Skills:

SQL, Python, Pyspark, Snowflake or Databricks, Any cloud (Azure, GCP or AWS)
Data Warehousing, Data Marts and Business Intelligence


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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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