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Algotale-Data Engineer(Lumiq)

Reposted 8 Days Ago
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In-Office
Mumbai, Maharashtra, IND
Mid level
In-Office
Mumbai, Maharashtra, IND
Mid level
Design, build, and maintain scalable ETL/ELT data pipelines and cloud data platforms on AWS/GCP using PySpark and SQL. Implement data quality, governance, performance tuning, and cost optimization while collaborating with analysts and data scientists and monitoring production systems.
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Data Engineer – AWS/GCP | SQL | PySpark

📍 Location: Mumbai
🏢 Company: Algotale
🧑‍💻 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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