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Algotale-Data Engineer(Lumiq)

Nexthire ยท Mumbai, IN

External listingcontract6 months ago

About The Role

  • Data Engineer โ€“ AWS/GCP | SQL | PySpark
  • ๐Ÿ“

Location

Mumbai

๐Ÿข

Company

Algotale

๐Ÿง‘โ€๐Ÿ’ป

Experience

3+ Years

About Algotale

Algotale is a technology-driven organization focused on building scalable data solutions, cloud-native architectures, and advanced analytics platforms. We help businesses transform data into actionable insights through modern data engineering practices.

Role Overview

We are looking for a skilled

Data Engineer

with strong expertise in

AWS/GCP, SQL, and PySpark

to design, build, and optimize scalable data pipelines and cloud-based data platforms. The ideal candidate should have hands-on experience in distributed data processing and cloud environments.

Key Responsibilities

  • Design, develop, and maintain scalable
  • ETL/ELT pipelines
  • Build and optimize data architectures on
  • AWS and/or GCP
  • Develop data processing frameworks using

PySpark

  • Write complex and optimized
  • SQL queries
  • for large datasets
  • Work with structured and unstructured data from multiple sources
  • Implement data quality, validation, and governance frameworks
  • Collaborate with data analysts, data scientists, and cross-functional teams
  • Monitor and troubleshoot production data systems
  • Ensure best practices in performance tuning and cost optimization in cloud environments

Required Skills & Qualifications

3+ years of experience in

Data Engineering

Strong hands-on experience with

AWS (S3, Redshift, Glue, EMR, Lambda)

or

GCP (BigQuery, Dataflow, Cloud Storage, Dataproc)

Strong proficiency in

SQL

Hands-on experience with

PySpark

  • Experience with data warehousing concepts and dimensional modeling
  • Familiarity with workflow orchestration tools (e.g., Airflow)
  • Understanding of distributed data processing systems
  • Experience with version control tools like Git

Good to Have

  • Experience with real-time data processing (Kafka or similar tools)
  • Knowledge of CI/CD pipelines
  • Exposure to Infrastructure as Code (Terraform, CloudFormation)
  • Basic understanding of machine learning pipelines

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