Data Engineer

Senior Data Engineer

Location: This is based out of Bentonville, AR and candidate is expected to be in office from day 1
Onsite Requirement Y

Mandatory Areas
Must Have Skills
Overall Experience level:
8 years in IT with min 6 years of Data Engineering and Analyst experience.
6 Hadoop/Big Data
4 years of hands-on experience in Scala
4 years of experience in writing and tuning SQLs, Spark queries
Hudi,Scala,Google Cloud Platform,Python

Client is looking for a highly energetic and collaborative Senior Data Engineer with experience leading enterprise data projects around Business and IT operations. The ideal candidate should be an expert in leading projects in developing and testing data pipelines, data analytics efforts, proactive issue identification and resolution and alerting mechanism using traditional, new and emerging technologies. Excellent written and verbal communication skills and ability to liaise with technologists to executives is key to be successful in this role.

As a Senior Data Engineer

• Assembling large to complex sets of data that meet non-functional and functional business requirements
  Identifying, designing and implementing internal process improvements including re-designing infrastructure for greater scalability, optimizing data delivery, and automating manual processes
  Building required infrastructure for optimal extraction, transformation and loading of data from various data sources using Google Cloud Platform/Azure and SQL technologies
  Building analytical tools to utilize the data pipeline, providing actionable insight into key business performance metrics including operational efficiency and customer acquisition
  Working with stakeholders including data, design, product and executive teams and assisting them with data-related technical issues
  Working with stakeholders including the Executive, Product, Data and Design teams to support their data infrastructure needs while assisting with data-related technical issues
  Strong background in data warehouse design
  Overseeing the integration of new technologies and initiatives into data standards and structures
  Strong Knowledge in Scala, Spark, PySpark, Python, SQL
  Experience in Cloud platform(Google Cloud Platform/Azure) data migration Source/Sink mapping, Build pipelines, work flow implementation, ETL and data validation processing
  Strong verbal and written communication skills to effectively share findings with shareholders
  Experience in Data Analytics, optimization, machine learning techniques is added advantage
  Understanding of web-based application development tech stacks like Java, Reactjs, NodeJs is a plus
  Key Responsibilities
  20% Requirements and design
  60% coding & testing and 10% review coding done by developers, analyse and help to solve problems
  10% deployments and release planning
  
  You bring:
  Bachelor s degree in Computer Science, Computer Engineering or a software related discipline. A Master s degree in a related field is an added plus
  6 years of experience in Data Warehouse and Hadoop/Big Data
  3 years of experience in strategic data planning, standards, procedures, and governance
  4 years of hands-on experience in Scala
  4 years of experience in writing and tuning SQLs, Spark queries
  3 years of experience working as a member of an Agile team
  Experience with Kubernetes and containers is a plus
  Experience in understanding and managing Hadoop Log Files.
  Experience in understanding Hadoop multiple data processing engines such as interactive SQL, real time streaming, data science and batch processing to handle data stored in a single platform in Yarn.
  Experience in Data Analysis, Data Cleaning (Scrubbing), Data Validation and Verification, Data Conversion, Data Migrations and Data Mining.
  Experience in all the phases of Data warehouse life cycle involving Requirement Analysis, Design, Coding, Testing, and Deployment., ETL Flow
  Experience in architecting, designing, installation, configuration and management of Apache Hadoop Clusters
  Experience in analyzing data in HDFS through Map Reduce, Hive and Pig is a plus
  Experience building and optimizing big data data pipelines, architectures and data sets.
  Strong analytic skills related to working with unstructured datasets
  Experience in Migrating Big Data Workloads
  Experience with data pipeline and workflow management tools: Airflow
  Cloud Administration