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Data engineering Jobs in Kochi (Cochin)

2+ Data engineering Jobs in Kochi (Cochin) | Data engineering Job openings in Kochi (Cochin)

Apply to 2+ Data engineering Jobs in Kochi (Cochin) on CutShort.io. Explore the latest Data engineering Job opportunities across top companies like Google, Amazon & Adobe.

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Adesso

Adesso

Agency job
via HashRoot by Maheswari M
Kochi (Cochin), Chennai, Pune
3 - 6 yrs
₹4L - ₹24L / yr
Data engineering
skill iconAmazon Web Services (AWS)
Windows Azure
Snowflake
Data Transformation Tool (DBT)
+3 more

We are seeking a skilled Cloud Data Engineer who has experience with cloud data platforms like AWS or Azure and especially Snowflake and dbt to join our dynamic team. As a consultant, you will be responsible for developing new data platforms and create the data processes. You will collaborate with cross-functional teams to design, develop, and deploy high-quality frontend solutions. 

Responsibilities:

Customer consulting: You develop data-driven products in the Snowflake Cloud and connect data & analytics with specialist departments. You develop ELT processes using dbt (data build tool) 

Specifying requirements: You develop concrete requirements for future-proof cloud data architectures.

Develop data routes: You design scalable and powerful data management processes.

Analyze data: You derive sound findings from data sets and present them in an understandable way.

Requirements:

Requirements management and project experience: You successfully implement cloud-based data & analytics projects.

Data architectures: You are proficient in DWH/data lake concepts and modeling with Data Vault 2.0.

Cloud expertise: You have extensive knowledge of Snowflake, dbt and other cloud technologies (e.g. MS Azure, AWS, GCP).

SQL know-how: You have a sound and solid knowledge of SQL.

Data management: You are familiar with topics such as master data management and data quality.

Bachelor's degree in computer science, or a related field.

Strong communication and collaboration abilities to work effectively in a team environment.

 

Skills & Requirements

Cloud Data Engineering, AWS, Azure, Snowflake, dbt, ELT processes, Data-driven consulting, Cloud data architectures, Scalable data management, Data analysis, Requirements management, Data warehousing, Data lake, Data Vault 2.0, SQL, Master data management, Data quality, GCP, Strong communication, Collaboration.

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Opportunity with Largest Conglomerate

Opportunity with Largest Conglomerate

Agency job
via Seven N Half by Shreeja Shetty
Delhi, Gurugram, Noida, Ghaziabad, Faridabad, Kochi (Cochin)
15 - 20 yrs
₹30L - ₹60L / yr
Enterprise architecture
Data architecture
Data engineering
Technical Architecture

Digital and Technology Architecture

  • Head the digital transformation and innovation projects from idea generation to new ventures in close collaboration with business stakeholders and external partners
  • Present the vision & value of proposed architectures and solutions to a wide range of audiences in alignment with business priorities and objectives
  • Plans tasks and estimates for the required research and volume of activities to complete work
  • Own and assess non-functional requirements and propose solutions for Availability, Backup, Capacity, Performance, Redundancy, Reliability, Scalability, Supportability, Risks and Costs models
  • Provide strategic guidance to teams on managing third-party service providers in terms of service levels, costing, etc.
  • Drive the team to ensure appropriate documentation is developed in support of value realization
  • Lead the technical team and head collaboration between Business Users and software providers to build digital solutions

Enterprise Architecture

  • Ownership of overall Enterprise Architecture including compliances and standards
  • Head the overall Architecture blueprint and roadmap for  applications aligning with Enterprise Architecture
  • Identify important potential technologies and approaches to address current and future Enterprise needs, evaluating their applicability and fit, as well as leading the definition of standards and best practice for their use

Data Architecture

  • Ownership of overall Data Architecture including compliances and standards
  • Head the overall Architecture blueprint and roadmap applications aligning with Data Architecture
  • Identify important potential technologies and approaches to address current and future Data needs, evaluating their applicability and fit, as well as leading the definition of standards and best practice for their use
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