Business applications systems analyst
2 weeks ago
This is a remote
The Jr Data Engineer at Koantek will have a working experience in languages like Python, SQL, Java/Scala or He/she will learn, get certified, and then use the knowledge of comprehensive modern data engineer techniques and methods with Advanced Analytics to support business decisions for our Your goal is to support the use of data-driven insights to help our clients achieve business outcomes and You will help design and build data pipelines, data streams, reporting tools, information dashboards, data service APIs, data generators, and other end-user information portals and insight You are expected to function as a productive member of a team, working and communicating proactively with engineering peers, technical lead, project managers, product owners, and resource managers.
Past job titles may have included: Python Developer, Java Developer, SQL Developer, Spark or Scala Developer
Requirements
Hands-on experience in one or more of languages like Python, Java, SQL, Spark/Scala, PySpark
Knowledge of different programming and scripting languages like .NET, PowerShell etc
Working knowledge of code versioning tools [such as Git, Bitbucket or SVN] is a plus
Working knowledge of/on different Operating Systems like Linux, Unix, Windows
Experience/Knowledge in creating tables, partitioning, bucketing, loading, and aggregating data using Spark SQL/PySpark
Working experience with Visual Studio, PowerShell Scripting, and ARM
Needs to be a flexible, capable, and fast learner
Knowledge of Azure DevOps processes like CI/CD as well as Agile tools and processes including Git, Jenkins, Jira, and Confluence
Knowledge of Stream Analytics, Event/IoT Hubs, and Cosmos
Knowledge of Azure cloud and Data Lake and Analytics solutions on
Knowledge of Spark Architecture including Spark Streaming, Spark Core, Spark SQL, Data Frames, RDD caching, Spark MLib
Knowledge of data frameworks, data lakes and open-source projects such as Apache Spark, MLflow, and Delta Lake
Knowledge of using Spark SQL with various data sources like JSON, Parquet and Key Value Pair
Knowledge of different data stores ( , Azure Data Lake GEN2, Azure SQL Data Warehouse, Azure Blob Storage, HDFS) , messaging systems ( , Azure Event Hubs, Apache Kafka), and data processing engines ( , Azure Data Lake Analytics, Apache Hadoop, Apache Spark, Apache Storm, Azure HDInsight)
Knowledge of Big Data/analytics/information analysis/database management in the cloud
Ability to remain up to date with industry standards and technological advancements that will enhance data quality and reliability to advance strategic initiatives
Basic experience with or knowledge of agile methodologies
Responsibilities:
· Learn and finish the assigned relevant training and get certified to become an Azure Databricks Engineer or an AWS Databricks Engineer
· Work closely with team members to learn, lead and drive enterprise solutions, advising on key decision points on trade-offs, best practices, and risk mitigation
· Prepare codes for all modules according to required specification
· Evaluate all functional requirements, map documents, and troubleshoot all development processes
· Document all technical specifications and associates project
· Design all test cases to provide support to all systems and perform unit
Qualifications:
0-2 years experience in a software development, data engineering, or data analytics field using Python, Scala, Spark, Java, or equivalent
Bachelor s or Master s degree in Big Data, Computer Science, Engineering, Mathematics, or similar area of study or equivalent work experience
Strong written and verbal communication skills
Ability to manage competing priorities in a fast-paced environment
Ability to resolve issues
Fast learner, Self-Motivated and ability to work independently
Hands-on experience on AWS(required), Azure or GCP & good to have Databricks experienc Must have hands-on proficiency in Python, SQL, Shell script SparkSQL, NoSQL, PySpark is a plus Advanced development expertise in Python , including the ability to develop back-end components
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