• Sapaad PTE LTD is seeking a Data Engineer who will take charge of constructing our distributed processing and big data infrastructure, as well as the accompanying applications and tools
• we e looking for someone with a fervent drive to tackle intricate data challenges and collaborate closely with the data team, all while staying abreast of the latest features and tools in Big Data and Data Science
• The successful candidate will play a pivotal role in supporting software developers, data architects, data analysts, and data scientists in various data initiatives
• He/She will ensure the smooth and efficient delivery of data across ongoing projects
• we equire an individual who is self-directed and capable of adeptly managing the data requirements of multiple teams, systems, and products

THE OPPORTUNITY

• 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 key business performance metrics.
• Work with stakeholders including the Executive, Product, Data Architects, and Design teams to assist with data-related technical issues and support their data infrastructure needs.
• To keep the data separated and secure.
• 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.

ROLE REQUIREMENTS

• Candidate with 2 to 7 years of experience in a Data Engineer role, who has attained a Graduate degree in Computer Science, IT or Statistics, or another quantitative field.
• 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.
• Strong analytic skills related to working with unstructured datasets.
• Build processes supporting data transformation, data structures, metadata, dependency, and workload management.
• Working knowledge of message queuing, stream processing, and highly scalable big data data stores.
• Good communication skills and team player.
• Experience supporting and working with cross-functional teams in a dynamic environment.

Preferred to 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 / ETL tools like Informatica, DataStage, and with any cloud tool like Azure Data Factory (ADF), etc
• Experience with data engineering on cloud services like Azure, AWS, or GCP.
• Experience with stream-processing systems: Storm, Spark-Streaming, etc
• Experience with object-oriented/object function scripting languages: Python, Java, Scala, etc

Role: Data Engineer

Industry Type: IT Services & Consulting

Department: Data Science & Analytics

Employment Type: Full Time, Permanent

Role Category: Data Science & Machine Learning

Education

UG: Any Graduate

PG: Any Postgraduate