Big Data Engineer Job in Amplework

As Big Data Engineer, you will develop, maintain, evaluate and test big data solutions. You will be involved in data engineering activities like Creating pipelines / workflows for Source to Target etc..

Key Responsibilities

• You will be involved in the design of data solutions using Hadoop based technologies along with Hadoop, Azure, HDInsights for Cloudera based Data Late using Scala Programming.
• Responsible to Ingest data from files, streams and databases. Process the data with Hadoop, Scala, SQL Database, Spark, ML, IoT
• Develop programs in Scala and Python as part of data cleaning and processing
• Responsible to design and develop distributed, high volume, high velocity multi-threaded event processing systems Develop efficient software code for multiple use cases leveraging Python and Big Data technologies for various use cases built on the platform
• Provide high operational excellence guaranteeing high availability and platform stability
• Implement scalable solutions to meet the ever-increasing data volumes, using big data/cloud technologies Pyspark, Kafka, any Cloud computing etc.

Required Qualifications

• Bachelor's degree in Economics, Computer Science, or a related field. MBA preferred but not required
• Strong analytical skills
• Excellent verbal and written communication skills
• Experience with writing requirement/specifications of technology related products
• Basic knowledge of product design trends and good practices
• Working skills of basic computer programs (Word, Excel, Visio, etc.)
• Knowledge of writing database/SQL queries

Required Technical and Professional Expertise

• Minimum 2+ years of experience in Big Data technologies
• Proficient in any of the programming languages Python, Scala or Java
• Mandatory experience in Mid to Expert Level programming capabilities in a large-scale enterprise In-depth experience in modern data platform components such as the Hadoop, Hive, Pig, Spark, Python, Scala, etc
• Experience with Distributed Versioning Control environments such as GIT
• Familiarity with development tools - experience on either IntelliJ / Eclipse / VSCode IDE, Build Tool Maven
• Demonstrated experience in modern API platform design including how modern UI s are built consuming services / APIs.
• Experience on Azure cloud including Data Factory, Databricks, Data Lake Storage is highly preferred Solid experience in all phases of Software Development Lifecycle - plan, design, develop, test, release, maintain and support, decommission