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Posted 09 July, 2026

Algotale-Data Engineer(Lumiq)

Nexthire
Mumbai, MH, IN Full Time
Reference: f2870cca06a6c932

Job Description

Data Engineer – AWS/GCP | SQL | PySpark \n

Location: Mumbai
Company: Algotale
\n ‍ Experience: 3+ Years

About Algotale \n

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 \n

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 \n
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    Design, develop, and maintain scalable ETL/ELT pipelines

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    Build and optimize data architectures on AWS and/or GCP

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    Develop data processing frameworks using PySpark

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    Write complex and optimized SQL queries for large datasets

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    Work with structured and unstructured data from multiple sources

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    Implement data quality, validation, and governance frameworks

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    Collaborate with data analysts, data scientists, and cross-functional teams

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    Monitor and troubleshoot production data systems

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    Ensure best practices in performance tuning and cost optimization in cloud environments

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Required Skills & Qualifications \n
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    3+ years of experience in Data Engineering

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    Strong hands-on experience with AWS (S3, Redshift, Glue, EMR, Lambda) or GCP (BigQuery, Dataflow, Cloud Storage, Dataproc)

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    Strong proficiency in SQL

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    Hands-on experience with PySpark

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    Experience with data warehousing concepts and dimensional modeling

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    Familiarity with workflow orchestration tools (e.g., Airflow)

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    Understanding of distributed data processing systems

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    Experience with version control tools like Git

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Good to Have \n
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    Experience with real-time data processing (Kafka or similar tools)

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    Knowledge of CI/CD pipelines

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    Exposure to Infrastructure as Code (Terraform, CloudFormation)

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    Basic understanding of machine learning pipelines

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