Job Location: Bangalore/Bengaluru
We are looking for a savvy Data Engineer to join our growing team of analytics experts at your Performance Analytics Group (PAG) organization. The hire will be responsible for expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection for cross functional teams. The ideal candidate is an experienced data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground up. The Data Engineer will support our data architects, data analysts and data scientists on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects. They must be self-directed and comfortable supporting the data needs of multiple teams, systems and products. The right candidate will be excited by the prospect of optimizing or even re-designing our companyโs data architecture to support our next generation of products and data initiatives.
Join us as a Senior Advisor on our Business Support team in Bangaloreto do the best work of your career and make a profound social impact.
What youโll achieve
Experience building and optimizing โbig dataโ data pipelines, architectures and data sets. Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement. Strong analytic skills related to working with unstructured datasets. Build processes supporting data transformation, data structures, metadata, dependency and workload management.
Take the first step towards your dream career
Every Dell Technologies team member brings something unique to the table. Hereโs what we are looking for with this role:
You will
- Create and maintain optimal data pipeline architecture,
- Assemble large, complex data sets that meet functional / non-functional business requirements.
- Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
- Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and Big Data technologies.
- Support in building analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
Essential Requirements
- Graduate degree in Computer Science, Information Systems or another quantitative field.
- Expertise and experience using the following tools & technologies:
- Intermediate knowledge/experience with relational databases: Microsoft SQL Server (T-SQL, SSIS, SSAS), Oracle, MemSQL etc.,
Desirable Requirements
- Basic knowledge/experience with big data tools: Hadoop, Spark, Kafka, etc
- Basic knowledge/experience with stream-processing systems: Storm, Spark-Streaming, etc.
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