Data Engineer

Overview

• REQUIRED SKILLS:
• 6+ years Data Engineering
• Experience with relational SQL databases, such as PostgreSQL, MySQL, etc.
• Experience with big data tools: Hadoop, Spark, Kafka, etc.
• Experience with Agile and Scrum development methodologies
• ETL
• Flink (+)
• Data Modeling (+) – will grow into it
• Cloud experience (+)
• Telecom (+)

QUALIFICATIONS:

• Experience in building and optimizing big data pipelines, architectures, and data sets
• Experience with stream-processing systems: Flink, KSQL, Spark-Streaming, etc.
• Demonstrably deep understanding of SQL and/or analytical data warehouses
• Experience with programming languages, such as Java, Scala, Python, etc.
• Experience with cloud data engineering and development, such as AWS, etc is a plus
• Familiarity with Kubernetes is a plus
• Good analytic skills related to working with structured and unstructured datasets
• Knowledge of message queuing, stream processing and scalable big data stores
• B.S. and above degree in Computer Science, Statistics, Informatics or related field or equivalent work experience

RESPONSIBILITIES:

• Create, enhance, and maintain optimal data pipeline architecture and implementations
• Analyze data sets to meet functional / non-functional business requirements
• Identify, design, and implement data process: automating processes, optimizing data delivery, etc.
• Build infrastructure and tools to increase data ETL velocity
• Work with data and analytics experts to implement and enhance analytic product features

Job Type: Full-time

Pay: ₹557,685.21 - ₹1,937,832.96 per year

Schedule:

• Day shift

Experience:

• Total work: 6 years (Required)

Work Location: In person