Data Platform Architect

2 weeks ago

Pune, Maharashtra, India beBeeDataEngineer Full time ₹ 21,60,000 - ₹ 25,40,000
Job Opportunity

A Senior Data Engineer is sought after to join an on-site India team in building, optimizing, and operating scalable AWS-based data platforms using Python and PySpark.

The ideal candidate will have 5+ years of hands-on experience in designing, developing, and maintaining robust ETL/ELT pipelines on AWS (S3 Glue/EMR Redshift/Snowflake) using Python and PySpark. A strong operational mindset and proven expertise in query tuning, partitioning, indexing, and data warehouse architectures are required.

Key Responsibilities:
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  • Design and develop efficient Spark jobs, optimize query/performance, and reduce pipeline latency for batch and near-real-time workflows.
  • Implement orchestration with Apache Airflow (DAGs, sensors, SLA alerts) and integrate with monitoring/alerting.
  • Author reusable data models, enforce data quality checks, and implement observability (logs, metrics, lineage).
  • Collaborate with data consumers, analytics, and ML teams to translate requirements into scalable data contracts and schemas.
  • Apply infrastructure-as-code and CI/CD practices to deploy data platform components and automate testing/rollouts.

Requirements:
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  • 5+ years of professional data engineering experience building production pipelines with Python and PySpark/Spark.
  • Proven AWS experience: S3, Glue or EMR, Redshift (or equivalent data warehouse), Lambda and IAM best-practices.
  • Strong SQL skills: query tuning, partitioning, indexing and working knowledge of data warehouse architectures.
  • Hands-on with orchestration tools (Apache Airflow) and experience implementing monitoring and retry/alert strategies.
  • Solid software-engineering fundamentals: unit testing, code reviews, Git-based workflows and CI/CD for data apps.

Benefits & Culture Highlights:
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  • Collaborative, delivery-driven culture with strong focus on technical mentorship and upskilling.
  • Opportunity to work on large-scale AWS data platforms and cross-domain analytics projects.
  • Competitive compensation, professional development, and a stable on-site engineering environment in India.

This role requires a pragmatic, hands-on Data Engineer who thrives on building reliable AWS data platforms with Python and PySpark.

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