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Data Engineer

Data Engineer

Version 1

4 - 6 years

3 - 6 Lacs

bengaluru

Posted:1 day ago| Platform:

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Skills Required

sql stored procedures spark dax m-query mdx scala bi business intelligence dashboards apache devops linux data visualization etl microsoft power bi snowflake python oracle power bi microsoft azure data engineering data bricks tableau agile aws

Work Mode

Work from Office

Job Type

Full Time

Job Description

We are looking for a passionate, dynamic, hardworking expert in all things Data Visualisation, using design led approaches and best practice to deliver business outcomes for our clients and solve complex business problems. This role requires exceptional interpersonal skills as you engage with technical and business stakeholders equally - to help understand and define business problems, design solutions and roadmaps, and drive projects from inception (or impasse!) to successful implementation and/or live service.

What will you be doing?

Setup PowerBI workspaces with appropriate licensing.
Support Integration of Power BI to Databricks workspaces.
Build PowerBI reports with required refresh frequency
Challengingcustomer or project requirements to ensure we are delivering business outcomes to our clients.

Qualifications

What skills and experience do you need:

Experience
Required is
4to 6years.
Strong proficiency in Databricks platform and Apache Spark.
Excellent SQL skills and experience with Python or Scala.
Proven experience in designing and implementing ETL processes and data pipelines.
Demonstrable experience designing high-quality data visualisation artefacts and taking solutions to production.
Ability to apply knowledge of current industry trends and techniques to formulate solutions within the context of projects.
Proficient in writing SQL, Stored procedures and views. Creating and optimising complex queries, analysing query performance.
Some experience designing and implementing solid DevOps principles for data visualisation projects.
Familiar with agile methodologies.
Knowledge of at least one enterprise cloud, preferably Azure.
Full project lifecycle experience, from initial concept through to deployment and support

What technical skills will do you have:

Develop and optimise ETL processes using Databricks and Apache Spark
Design and implement efficient data models and schemas for optimal data storage and retrieval.
Microsoft Power BI enterprise approaches and rollout methodologies. (Preferred)
Tableau enterprise approaches and rollout methodologies. (Desirable)
Business Intelligence development using the Microsoft BI stack
Familiar with and experienced in data modelling methodologies such as Kimble.
Setup PowerBI workspaces with appropriate licensing.
Support Integration of Power BI to Databricks workspaces.
Expert in DAX and M Query
Experienced with Analysis Services Cubes in global scale visualisation deployments
SQL skills for querying and creating of views/tables, functions and stored procedures.
Design and build concepts for dashboards, reports and cubes using SQL, MDX, DAX, Power BI or other visualisation tools.
Document design solutions and processes.
Microsoft Certifications desirable but not essential

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Data Engineer