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Data Engineer - ETL / Python

Data Engineer - ETL / Python

SPN GlobePune
30+ days ago
Job description

Role : Data Engineer

Type : Permanent (No third-party payroll)

Location : Pune, Hyderabad

Joining : 0 to 30 days / Immediate Joiners

Job Description :

We are seeking a skilled and motivated Data Engineer to design, build, and maintain robust data pipelines and infrastructure using Python, SQL, GCP, and AWS. You will play a critical role in enabling data-driven decision-making by ensuring data is accessible, reliable, and well-structured for analytics, reporting, and machine learning use cases.

Responsibilities :

  • Design, develop, and maintain scalable data pipelines and ETL / ELT workflows using Python and SQL.
  • Build and optimize data models, data marts, and data lakes on cloud platforms (GCP and AWS).
  • Work with tools and services like BigQuery, Cloud Storage, Pub / Sub, Lambda, S3, Glue, Redshift, etc., to manage end-to-end data workflows.
  • Collaborate with data scientists, analysts, and product teams to understand data requirements and deliver clean, reliable, and timely datasets.
  • Implement data quality, validation, and governance frameworks to ensure the accuracy and integrity of data.
  • Monitor pipeline performance, troubleshoot issues, and optimize for speed and cost-efficiency.
  • Set up infrastructure-as-code (IaC) where appropriate using tools like Terraform or CloudFormation (optional but a plus).
  • Ensure data security and compliance with organizational and regulatory policies (e.g., GDPR, HIPAA).
  • Maintain documentation of data processes, systems, and flows.

Requirements :

  • Strong proficiency in Python for data engineering (e.g., pandas, pySpark, Airflow).
  • Advanced knowledge of SQL (analytical queries, optimization, indexing, joins, CTEs).
  • Hands-on experience with cloud-native data services in GCP (BigQuery, Dataflow, Cloud Functions, Pub / Sub) and AWS (Redshift, S3, Glue, Lambda).
  • Experience with data orchestration tools (e.g., Apache Airflow, Cloud Composer).
  • Familiarity with CI / CD and version control systems (e.g., GitHub, GitLab, Jenkins).
  • Experience with data warehousing concepts, dimensional modeling, and data lake architectures.
  • Strong understanding of data security and governance best practices.
  • Excellent problem-solving and communication skills.
  • (ref : hirist.tech)

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