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Data Engineer (Mid-Senior Level)

Sky Systems

Data Engineer (Mid–Senior Level)

Position Type: Full-Time Contract (40hrs/week)

Contract Duration: 6 Months+

Location: 100% Remote - Candidates can work anywhere in India (Preference is Hybrid - Chennai)

We are seeking experienced Data Engineers to support a large-scale enterprise data platform migration and modernization initiative. This role will focus on building and optimizing data pipelines, integrating large-scale datasets, and enabling reliable data delivery for analytics and downstream applications.

The ideal candidate has strong experience working with large-scale data processing, cloud data platforms, and modern data pipeline architectures.

Responsibilities

  • Design, build, and maintain scalable data pipelines and ETL/ELT workflows
  • Develop and optimize data ingestion, transformation, and integration pipelines
  • Work with large-scale structured and semi-structured datasets to support analytics and reporting
  • Integrate data across multiple systems and ensure reliable downstream consumption
  • Collaborate with data architects, platform engineers, and analytics teams to support cloud-based data platforms
  • Ensure high levels of data quality, performance, and reliability
  • Support modernization of legacy pipelines into cloud-native architectures

Required Skills

  • Strong programming experience with Python and SQL
  • Experience building data pipelines and data warehousing solutions
  • Experience processing large-scale datasets in distributed environments
  • Experience with streaming or near real-time data pipelines
  • Hands-on experience with Airflow or Cloud Composer (GCP)
  • Experience working in AWS or Google Cloud Platform (GCP) environments

Nice to Have

  • Experience with Apache Spark or Big Query
  • Experience with Kafka or event streaming platforms
  • Experience with dbt for data transformation and modeling
  • Claude or a similar AI tool to help accomplish the objective

Ideal Background

  • Experience working in large-scale enterprise data environments
  • Strong understanding of data pipeline orchestration and cloud data platforms
  • Experience supporting data platform migrations or modernization initiatives
Vacancy posted 2 days ago
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