Data Engineer

Algoleap • Custom Software Development • AI Consulting & Integration • Python • Java • SQL • Scala • ETL/ELT • Dimensional Modeling • Alation • 2 days ago
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Salary
≈ $23k – $47k per year (Estimated)
Location
In office (Bengaluru)
Experience
5+ years exp
Employment
Full-Time

First seen by Alion on Oct 22, 2026.

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Company
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Algoleap

Algoleap is a Hyderabad-based digital product engineering and AI services firm offering software engineering, AI solutions, data, cloud and DevOps, automation and technology advisory to enterprises. Operating as Algoleap Technologies Pvt Ltd from HITEC City in Hyderabad, with a US address in Plainfield, Illinois, it works in heavily regulated industries on client lifecycle management, sustainable finance, data strategy and cloud adoption, and runs Algoleap Digital Studios. Its openings, mostly in Hyderabad and Bengaluru, include .NET, FileNet, Salesforce and backend developers, AI engineers, data scientists and architects, Kubernetes and Azure engineers and database administrators.
algoleap.com • HQ: Hyderabad, India • AI Consulting & Integration • Custom Software Development • 1001-5000 employees
Tech stack of Algoleap
Responsibilities

  • Design, build, and optimize ETL/ELT pipelines for batch and streaming data
  • Develop and maintain data warehouses and data lakes (e.g., Snowflake, BigQuery, Redshift)
  • Collaborate with data scientists, analysts, and product teams to understand data needs
  • Ensure data quality, reliability, and observability across pipelines
  • Build and manage orchestration workflows (e.g., Airflow, Prefect, Dagster)
  • Implement best practices for data modeling, partitioning, and performance tuning
  • Monitor and troubleshoot data infrastructure issues in production

Requirements

  • 5+ years of experience in data engineering or a related role
  • Proficiency in SQL and Python (or Scala/Java)
  • Experience with cloud platforms (AWS, GCP, or Azure)
  • Hands-on with big data tools: Spark, Kafka, dbt, or similar
  • Familiarity with data warehousing concepts and dimensional modeling
  • Strong understanding of CI/CD and version control (Git)

Nice to Have

  • Experience with real-time/streaming pipelines (Kafka, Flink, Kinesis)
  • Exposure to ML pipelines or MLOps tooling
  • Knowledge of data governance and data catalog tools (e.g., Atlan, Alation)
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