Python
Machine Learning (ML)- Create and maintain optimal data pipeline architecture
- Assemble large, complex data sets that meet business requirements
- Identifying, designing, and implementing internal process improvements including redesigning infrastructure for greater scalability, optimizing data delivery, and automating manual processes
- Work with Data, Analytics & Tech team to extract, arrange and analyze data
- Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS technologies
- Building analytical tools to utilize the data pipeline, providing actionable insight into key business performance metrics including operational efficiency and customer acquisition
- Works closely with all business units and engineering teams to develop a strategy for long-term data platform architecture.
- Working with stakeholders including data, design, product, and executive teams, and assisting them with data-related technical issues
- Working with stakeholders including the Executive, Product, Data, and Design teams to support their data infrastructure needs while assisting with data-related technical issues.
- SQL
- Ruby or Python(Ruby preferred)
- Apache-Hadoop based analytics
- Data warehousing
- Data architecture
- Schema design
- ML
- Prior experience of 2 to 5 years as a Data Engineer.
- Ability in managing and communicating data warehouse plans to internal teams.
- Experience designing, building, and maintaining data processing systems.
- Ability to perform root cause analysis on external and internal processes and data to identify opportunities for improvement and answer questions.
- Excellent analytic skills associated with working on unstructured datasets.
- Ability to build processes that support data transformation, workload management, data structures, dependency, and metadata.
Shubham Vishwakarma
Full Stack Developer - Averlon
About Planet Spark
About
PlanetSpark is on its journey to becoming the global leader in the large and untapped communication skills segment. We are Series A funded by some top VCs and are on a 30% month-on-month growth curve. We have our footprint in India, the Middle East, North America, and Australia. Come join a passionate team of over 500 young and energetic members and 400+ expert and handpicked teachers on this roller coaster ride to build the most loved brand for kids who will move the world!
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Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon