Job Description
We’re looking for a Data Engineer / Analytics Engineer who can design, build, and optimize scalable data pipelines on cloud platforms and work closely with business teams to turn raw data into reliable, analytics-ready insights.
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Key Responsibilities
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• Design and maintain Spark/PySpark-based ETL pipelines for high-volume batch and incremental data processing
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• Build and manage AWS Glue Jobs, Glue Crawlers, and S3-based data lake ingestion
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• Develop dimensional and fact-dimension models and maintain curated data marts using Redshift/Athena
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• Optimize SQL and Spark SQL queries for better performance and efficiency
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• Drive cloud cost optimization across storage, compute, and query usage using AWS Cost Explorer and CUR analysis
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• Build and maintain BI dashboards for revenue, engagement, and operational reporting
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• Handle ad-hoc data requests and convert business requirements into optimized queries and temporary data models
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• Collaborate with Product, Business, and Analytics teams on data structures, reporting, and KPI definitions
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Required Skills
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• 2+ years of hands-on experience with Python, SQL, and Spark SQL/PySpark
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• Strong experience with AWS S3, Redshift, Athena, Glue, and CloudWatch
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• Positive understanding of Data Warehousing and Dimensional Modeling
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• Strong knowledge of Partitioning, Indexing, and Query Optimization
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• Experience with BI/Analytics tools such as Metabase, Matomo, or similar platforms
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• Proven experience in improving data pipeline performance and/or optimizing cloud costs
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⭐ Nice to Have
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• Experience in OTT/Streaming Media Analytics or Insurance/BFSI domains
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• Experience with incremental data processing and near real-time pipelines
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• Publications or applied research in Data Engineering
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If you enjoy building scalable data solutions, solving complex data problems, and working with modern AWS data technologies, we’d love to hear from you!
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Interested candidates are welcome to apply or share their updated CV at:
[email protected]
📌 Data Engineer (Noida)
🏢 AppSquadz
📍 Noida