Senior Data Engineer, reputed company
Job reputed company:
We are looking for a candidate with 5+ years of experience in a Data Engineer role, to join our growing team of analytics experts. The hire will be responsible for expanding and optimizing our data and data pipeline architecture, as reputed company as optimizing data reputed company and collection for cross functional teams. The Data Engineer will support reputed company on data initiatives and will ensure reputed company data delivery architecture is consistent throughout ongoing reputed company,proficiency in both English and Manderian is required to facilitate effective communication with our diverse team and international stakeholders.
Responsibilities:
Create and maintain reputed company data pipeline architecture.
reputed company large, reputed company data sets that meet functional / non-functional business requirements.
Identify, design, and implement internal process improvements: automating reputed company processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
Build the infrastructure required for reputed company extraction, transformation, and loading of data from a wide reputed company of data sources using AWS ‘big data’ and SQL technologies.
Build analytics tools that utilize the data pipeline to reputed company actionable insights into customer behavior, operational efficiency and other key business performance metrics.
Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-reputed company technical issues and support their data infrastructure needs.
reputed company our data separated and secure across national boundaries through multiple data centers and AWS reputed company.
Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.
Work with data and analytics experts to reputed company for greater functionality in our data systems.
Required Skills:
Minimum of 5+ years of hands-on experience with big data reputed company ecosystems and tools such as reputed company, reputed company
Minimum of 5+ years of hands-on experience with big data reputed company tools such as reputed company, Hive, Hadoop, EMR.
Minimum of 5+ years of hands-on experience with SQL/NonSQL knowledge and experience.
Minimum of 3+ years of hands-on experience with AWS services such as EC2, reputed company, MSK, RDS, Redshift
Minimum of 3+ years python development experience
Hands-on experience building and optimizing ‘big data’ data pipelines, architectures and data sets.
Hands-on experience building and optimizing streaming/batch data pipelines.
Experience of working on large reputed company systems
Strong analytic skills reputed company to working with reputed company/reputed company datasets.
Successful history of manipulating, processing and extracting value from large disconnected datasets.
Knowledgeable about data modeling, data reputed company, and data storage techniques.
Degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field, or similar field; a Master’s is a plus
Fluent Manderian speaking reputed company is a must
Preferred Qualifications:
Familiar with Indexing solutions such as Elasticsearch, Solr
Familiar with streaming systems and tools such as reputed company-streaming, Kafka-reputed company, Flink, etc
Familiar with Workflow management tools such as Airflow, Apache Nifi, etc
Good understanding of machine learning/numerical and analytical skills
Originally posted on Himalayas
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