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Data Engineer
Department: Data Analytics
Location: Mumbai, Gurgaon, hybrid
Positions: 4
What Is This Job About
Data Engineer will own setting up Data Pipeline in AWS workplace and will enable Data & Decision Science for Products Owners, Marketing and Senior Leadership.
Responsibilities
• Assemble large, complex data sets from distinct sources into Data Lake that meet functional / non-functional business requirements.
• Identify, design, and implement data and ETL pipeline - optimizing data delivery, re-designing infrastructure for greater scalability, etc for both Stream and Batch data processing
• Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL, Spark, Python, Airflow and AWS ‘big data’ technologies.
• Keep our data separated and secure by adherence to infosec and regulatory guidelines related to data centers, governance, monitoring usage and selection of AWS regions.
• Create data & analytics tools/platform that assist Data & Analytics team members in building and optimizing our product into an innovative industry leader
• Expected OUTCOME : Deliver high quality Data Engineering Pipeline and Solution Architecture based on the business requirement which is scalable and streamlined
• Expected OUTCOME : Own data quality, correctness, validation, consistency & Reliability across pipeline
• Expected OUTCOME : Optimization of infrastructure based on usage and requirement
• Expected OUTCOME : Documentation and maintenance of Production code for efficient root cause analysis in case of any failures/issues
Key Skills
• EDUCATION Qualifications : B.Tech./ Masters/ MBA Degree in Business Analytics or Computer Engineering or related field
• EXPERIENCE : min. 2years upto 12years. Preference given to candidates who have worked in Startups and/or Financial Services domain.
• Advanced working Python, Spa
📌 Data Engineer (Mumbai)
🏢 compoundexpress
📍 Mumbai
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