Senior Software Engineer (Data Engineering)

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Requirements:

• Bachelor’s or master’s degree in computer science, Mathematics, Statistics from a top engineering institution.
• Practical experience in handling complex analytics projects and experience in advanced SQL for data analysis.
• 4+ years of Data Engineering experience in building enterprise data/analytics solutions.
• Experience in data stewardship to improve data quality including accuracy, integrity, and relevance to business.
• Strong practical experience in Databases, Advanced SQL & Python/R.
• Good understanding of Data strategies and data analysis & model design.
• Ability to benchmark data systems, analyze workflow bottlenecks, and propose robust data solutions.
• Good to have experience in designing/implementing ETL data pipelines using open-source platforms.
• Good to have exposure to big data technologies like Hive, Red Shift (DWH), Hbase, Apache Spark, and integration with enterprise visualization framework.

Responsibilities:

• Design, Model and Implement data analysis and analytics solutions.
• Be a hands-on individual contributor for data projects in high-level design, analysis, experiments, data architecture, and data modeling.
• Support ETL pipeline modules – by designing transformations, data cleaning, matching, reports/dashboards, and statistical analysis.
• Utilize analysis techniques – such as segmentation, regressions, clustering, and data profiling to analyze trends and report key performance indicators.
• Collaborate in building large-scale, high-availability, fault-tolerant data analytics platform using Apache Spark ecosystem, Data Visualization, and Advanced Analytics.
• Work closely with cross-functional teams in an Agile environment.