Position Details

Type Full-Time

Experience mid

Exp. Years Not specified

Education Not specified

Category Data & Analytics

About this role

This role involves developing scalable data analysis solutions, automating data workflows, and collaborating across teams to improve data processes and insights.

Key Responsibilities

Own data automation processes
Optimize data workflows
Implement AI/ML strategies
Collaborate with cross-functional teams
Debug data flow issues

Technical Overview

The technical environment includes Python, SQL, PowerBI, AWS, Snowflake, and scripting languages, focusing on data automation, analysis, and visualization.

Ideal Candidate

The ideal candidate is a mid-level data engineer with experience in Python, SQL, and data visualization tools like PowerBI. They should have a strong background in data automation, analysis, and cross-functional collaboration.

Must-Have Skills

PythonSQLPowerBIcollaborationdebugging

Nice-to-Have Skills

.NetJavaCPerlXMLJSONAWSSnowflake

Tools & Platforms

PowerBIExcelAWSSnowflake

Required Skills

PythonSQLPowerBIExcelXMLJSON.NetJavaCPerlAWSSnowflake

Hard Skills

PythonSQLPowerBIExcelXMLJSON.NetJavaCPerlDatabasesAWSSnowflake

Soft Skills

collaborationcross-functional engagementproblem-solvingdebuggingcommunication

Industry & Role

Industry Technology

Job Function Developing and maintaining data analysis and automation solutions

Role Subtype Data Engineer

Tech Domains Python, SQL / PostgreSQL, Power BI, Amazon Web Services, Snowflake

Keywords for Your Resume

Data EngineerPythonSQLPowerBIExcelXMLJSON.NetJavaCPerlAWSSnowflakeData automationData analysisData transformationKPIAIMLcross-functionaldebuggingdata automationdata analysis

Deal Breakers

Lack of experience with SQL or Python, No experience in data automation, Unwillingness to collaborate cross-functionally

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