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Data Engineer

Reflections Info Systems
Location: Anywhere in India, Experience: 5 years - 7 years
Posted On: 03-Jun-2021 | Last Date to Apply: 15-Aug-2021 | No: of Vacancies : 3

Company Profile:

Reflections is a product engineering company characterized by deep technology expertise customer obsession and purposeful innovation backed by a team of passionate technology entrepreneurs our experience spans across different domains like Healthcare Banking Retail Logistics Media Entertainment Automobile and Fashion we help customers across these domains achieve powerful ROI driven business transformation

Job description:

• Create and maintain optimal data pipeline architecture
• Assemble large, complex data sets that meet functional / non-functional business requirements.
• Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using 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.
• Work with data and analytics experts to strive for greater functionality in our data systems.
• Recommending changes in development, maintenance, and system standards.
• Working in an agile development environment to deliver a high-quality product.

Preferred skills

• Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
• Strong analytical skills.
• Build processes supporting data transformation, data structures, metadata, dependency, and workload management.
• Working knowledge of message queuing, stream processing and highly scalable BigData data stores.
• Experience with big data tools: Hadoop, Spark, Kafka, etc.
• Experience with relational SQL and NoSQL databases, including Postgres and Cassandra.
• Experience with stream-processing systems: Storm, Spark-Streaming, etc.
• Experience with programming languages: Python, Scala.
• Knowledge of professional software engineering practices & best practices for the full software development life cycle, including coding standards, code reviews, source control management, continuous deployments, testing, and operations.
• Candidate must have good written and oral communication skills, be a fast learner, and have the ability to adapt quickly to a fast-paced developing environment.

Key Qualifications

Bachelors

Education

Any Masters Degree

Industry

IT-Software- Software services

Gender Preference:

Female

Job Type:

Full Time

Diversity Tags:

Not Applicable