Consultant, Data Analytics & Reporting-Food

Cargill

3 - 6 years

10 - 14 Lacs

bengaluru

Posted:3 days ago| Platform:

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Skills Required

core data python airflow warehouse sql snowflake advanced analytics data analytics data management oozie microsoft azure cloud platform business intelligence data engineering dashboards ansible docker power query powerapps java linux jenkins aws

Work Mode

Work from Office

Job Type

Full Time

Job Description

Job Purpose and Impact

Analytics Engineer

Key Accountabilities

Design and implement internal process improvements, optimize data delivery and create scalable data sets.
Build existing data assets and prepare data to meet specific reporting and analytics needs.
Build data solutions to enable automated and self service data consumption.
Model, design, develop, test and implement complex backend and front end structures to meet business visualization, reporting and analytics requirements.
Evaluate the performance of processes, services and outcomes and recommend performance improvement.
Partner collaboratively with data engineers on complex infrastructure projects and advocate for and emphasize the business value of applications and offer mentorship and technical solutions to solve business problems.
Independently handle complex issues with minimal supervision, while escalating only the most complex issues to appropriate staff.
Other duties as assigned.

Qualifications

Bachelors degree in a related field or equivalent experience.
Confirmed skills of enabling data content for reporting or analytics solutions.
Minimum of four years of related work experience.
Certification in a programming language.
Confirmed skills in querying relational databases with query language.
Confirmed experience working with large data store.
Design and implement scalable data solutions using SQL, Snowflake, and Python to support advanced analytics, reporting, and business intelligence initiatives.
Automate workflows and build low-code applications leveraging Power Automate, Power Apps, and Power Query to streamline data operations and enhance decision-making across teams.
Strong understanding of Core data warehouse concepts.
Experience in scheduling tools like Oozie ,DBT ,Apache airflow.
Experience in Cloud platform is a plus.

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