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Aanseaa Technologies

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5 Aanseaa Technologies Jobs

Data engineer (Data Platform)

AANSEAA Technologies

8-10 years

Chennai, Pune, New Delhi + 4 more

1 vacancy

Aanseaa Technologies

posted 5mon ago

Job Role Insights

Key skills for the job

SQL Operations Linux Business Intelligence Analytical UNIX

+ 4 more

Job Description

Data engineer (Data Platform)

Experience : 8-10 years

Key Roles and Responsibilities

Develop, understand, and enhance code in traditional data warehouse environments, data lake, and cloud environments like Snowflake, Azure, Databricks
Build new end-to-end business intelligence solutions- data extraction, ETL processes applied on data to derive useful business insights, and best representing this data through dashboards.
Write complex SQL queries used to transform data using Python/Unix shell scripting
Understand business requirements and create visual reports and dashboards using Power BI or Tableau.
Upskill to different technologies, understand existing products and programs in place
Work with other development and operations teams.
Flexible with shifts and occasional weekend support.
Key Competencies
Full life-cycle experience on enterprise software development projects.
Experience in relational databases/ data marts/data warehouses and complex SQL programming.
Extensive experience in ETL, shell or python scripting, data modelling, analysis, and preparation
Experience in Unix/Linux system, files systems, shell scripting.
Good to have knowledge on any cloud platforms like AWS, Azure, Snowflake, etc.
Good to have experience in BI Reporting tools Power BI or Tableau
Good problem-solving and analytical skills used to resolve technical problems.
Must possess a good understanding of business requirements and IT strategies.
Ability to work independently but must be a team player. Should be able to drive business decisions and take ownership of their work.
Experience in presentation design, development, delivery, and good communication skills to present analytical results and recommendations for action-oriented data driven decisions and associated operational and financial impacts.