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. Key Responsibilities • Design and maintain Spark/PySpark-based ETL pipelines for high-volume batch and incremental data processing • Build and manage AWS Glue Jobs, Glue Crawlers, and S3-based data lake ingestion • Develop dimensional and fact-dimension models and maintain curated data marts using Redshift/Athena • Optimize SQL and Spark SQL queries for better performance and efficiency • Drive cloud cost optimization across storage, compute, and query usage using AWS Cost Explorer and CUR analysis • Build and maintain BI dashboards for revenue, engagement, and operational reporting • Handle ad-hoc data requests and convert business requirements into optimized queries and temporary data models • Collaborate with Product, Business, and Analytics teams on data structures, reporting,



and KPI definitions Required Skills • 2+ years of hands-on experience with Python, SQL, and Spark SQL/PySpark • Strong experience with AWS S3, Redshift, Athena, Glue, and CloudWatch • Good understanding of Data Warehousing and Dimensional Modeling • Strong knowledge of Partitioning, Indexing, and Query Optimization • Experience with BI/Analytics tools such as Metabase, Matomo, or similar platforms • Proven experience in improving data pipeline performance and/or optimizing cloud costs ⭐ Nice to Have • Experience in OTT/Streaming Media Analytics or Insurance/BFSI domains • Experience with incremental data processing and near real-time pipelines • Publications or applied research in Data Engineering If you enjoy building scalable data solutions, solving complex data problems, and working with up-to-date AWS data technologies, we’d love to hear from you! Interested candidates are welcome to apply or share their updated CV at: [email protected]

📌 Data Engineer (Kurukshetra)
🏢 AppSquadz
📍 Kurukshetra