Data Engineer Job in Cloudray Inc
Data Engineer
Cloudray Inc
4 weeks ago
- Hyderabad, Telangana
- Not Disclosed
- Full-time
- Permanent
Job Summary
Applicable experience is characterized as advanced SQL, data engineering & data modeling techniques
Ability to function as a technical lead, working closely with developers and data analysts, as well as hands-on implementation
7+ years of experience developing data integration solutions using tools like Informatica, Talend, Mulesoft, Qlik, etc.
Strong experience building out data warehouse and/or data lake 3+ years of experience leading engineering resources
2+ years of experience working with cloud-native data solutions on Microsoft Azure, AWS, or Google Cloud platform
Strong experience leading full lifecycle, large, complex reporting or data engineering efforts
Strong experience in working with heterogeneous datasets in building and optimizing data pipelines, pipeline architectures and integrated datasets using various data integration technologies (ETL/ELT, data replication/CDC, message-oriented data movement, API design, etc.)
Experience with DevOps, CI/CD pipelines and automated testing Required Competencies/skills
Implement data structures using standards and best practices in data modeling, ETL/ELT processes, SQL, database, and other technologies
Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
Solid experience building and optimizing data pipelines and data sets.
Deep knowledge of the data vault method, model, and architecture
Ability to manage the overall data landscape: meta data, processing patterns, and data quality
A successful history of manipulating, processing and extracting value from large datasets.
Strong working knowledge of message queuing, stream processing, and highly scalable data stores
Ability to obtain a clear understanding of business needs and value, developing a detailed vision for the initiative, mapping out the solution, and guiding its implementation
Develop test-driven solutions that can be deployed quickly and in an automated fashion
Ability to obtain a clear understanding of business needs and value, developing a detailed vision for the initiative, mapping out the solution, and guiding its implementation
Demonstrated ability to collaborate across all levels (Engineers, Management, Architects, etc.) & across all skill sets (Data scientists, Data visualization developers, Salesforce developers etc.) particularly in a Product-oriented culture
Capable of using agile methodology and implementing Continuous Integration/Continuous Delivery (CI/CD) pipelines
Experience working with Databricks (or Spark) (or Qlik technologies) Replicate and Compose
Experience with any scripting languages, preferably Python
Experience working with BI Tools (Power BI, Tableau etc.) to create dashboards and reports
Experience with Snowflake
Experience in Manufacturing or Agriculture industry Preferred
Troubleshooting skills, ability to determine impacts, ability to resolve complex issues, and ability to exercise sound judgment and initiative in challenging situations.
Ability to function as a technical lead, working closely with developers and data analysts, as well as hands-on implementation
7+ years of experience developing data integration solutions using tools like Informatica, Talend, Mulesoft, Qlik, etc.
Strong experience building out data warehouse and/or data lake 3+ years of experience leading engineering resources
2+ years of experience working with cloud-native data solutions on Microsoft Azure, AWS, or Google Cloud platform
Strong experience leading full lifecycle, large, complex reporting or data engineering efforts
Strong experience in working with heterogeneous datasets in building and optimizing data pipelines, pipeline architectures and integrated datasets using various data integration technologies (ETL/ELT, data replication/CDC, message-oriented data movement, API design, etc.)
Experience with DevOps, CI/CD pipelines and automated testing Required Competencies/skills
Implement data structures using standards and best practices in data modeling, ETL/ELT processes, SQL, database, and other technologies
Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
Solid experience building and optimizing data pipelines and data sets.
Deep knowledge of the data vault method, model, and architecture
Ability to manage the overall data landscape: meta data, processing patterns, and data quality
A successful history of manipulating, processing and extracting value from large datasets.
Strong working knowledge of message queuing, stream processing, and highly scalable data stores
Ability to obtain a clear understanding of business needs and value, developing a detailed vision for the initiative, mapping out the solution, and guiding its implementation
Develop test-driven solutions that can be deployed quickly and in an automated fashion
Ability to obtain a clear understanding of business needs and value, developing a detailed vision for the initiative, mapping out the solution, and guiding its implementation
Demonstrated ability to collaborate across all levels (Engineers, Management, Architects, etc.) & across all skill sets (Data scientists, Data visualization developers, Salesforce developers etc.) particularly in a Product-oriented culture
Capable of using agile methodology and implementing Continuous Integration/Continuous Delivery (CI/CD) pipelines
Experience working with Databricks (or Spark) (or Qlik technologies) Replicate and Compose
Experience with any scripting languages, preferably Python
Experience working with BI Tools (Power BI, Tableau etc.) to create dashboards and reports
Experience with Snowflake
Experience in Manufacturing or Agriculture industry Preferred
Troubleshooting skills, ability to determine impacts, ability to resolve complex issues, and ability to exercise sound judgment and initiative in challenging situations.
Experience Required :
Minimum 7 Years
Vacancy :
2 - 4 Hires
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