Job title: Data Engineer
Company: Talent500
Job description: About Talent500 TechTalent500 helps companies hire, build and manage global teams. We are trusted by the worlds leading companies – from Fortune 500s to fast-growth startups – to help them build and run their high-impact remote teams. Today, Talent500 is the fastest growing remote team builder in the world.
Our suite of proprietary AI-enabled tools and products provide businesses with an end-to-end platform to build their global teams. This includes access to a Global Talent Network of 300,000+ professionals globally and tools to manage contracting, payroll and benefits without the hassle of setting up legal entities or infrastructure.
We are backed by Accel Partners & ANSR, a global leader and enterprise transformation platform. For the last 15 years, the worlds leading organisations have trusted ANSR to transform their businesses by building technology and innovation hubs in talent-rich locations.Job DescriptionResponsibilities for Data Engineer:
- 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 AWS big data technologies.
- Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
- Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
- Keep our data separated and secure across national boundaries through multiple data centers and AWS regions.
- Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.
- Work with data and analytics experts to strive for greater functionality in our data systems.
Qualifications:
- Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
- Experience building and optimizing big data 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.
- A successful history of manipulating, processing and extracting value from large disconnected datasets.
- Working knowledge of message queuing, stream processing, and highly scalable big data data stores.
- Strong project management and organizational skills.
- Experience supporting and working with cross-functional teams in a dynamic environment.
- We are looking for a candidate with 3-5 years of experience in a Data Engineer role, who has attained a Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field.
- They should also have experience using the following software/tools:
- Experience with big data tools: Hadoop, Spark, Kafka, etc.
- Experience with relational SQL and NoSQL databases
- Experience with data pipeline and workflow management tools
- Experience with AWS cloud services: EC2, EMR, RDS, Redshift
- Experience with stream-processing systems: Storm, Spark-Streaming, etc.
- Experience with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc
Expected salary:
Location: Bangalore, Karnataka
Job date: Wed, 30 Oct 2024 08:50:01 GMT
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