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Data Engineer

Data Engineer

Infosys

5 - 7 years

4 - 8 Lacs

bengaluru

Posted:1 day ago| Platform:

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Skills Required

data engineer python ai databricks data warehousing business intelligence sales sql cloud architecture data modeling spark devops apache spark business insights data governance big data etl data lake architecture azure

Work Mode

Work from Office

Job Type

Full Time

Job Description

Educational Requirements

Bachelor of Engineering,Bachelor Of Technology,Bachelor Of Science,Bachelor Of Comp

Applications

Service Line

Engineering Services

Responsibilities

Design and develop data pipelines using Azure Data Factory, Azure Databricks, and Azure Data Lake Gen2

Implement ETL/ELT processes, data integration techniques, and data governance standards

Work with Big Data technologies such as Apache Spark and PySpark for large-scale data processing

Gather, engineer, and prepare data for analytics and business insights

Integrate systems and data across diverse environments, ensuring seamless connectivity

Build solutions to extract and consolidate data from multiple sources (sales, inventory, product, customer databases)

Collaborate with ML Engineers, Data Scientists, and business stakeholders to enable automation and advanced analytics

Contribute to coding standards and best practices for data engineering workloads

Support modernization initiatives aligned with Industry 4

0 and ISA-95 standards

Additional Responsibilities:

Good to have:Exposure to data modeling, data warehousing, and cloud architecture

Knowledge of business intelligence tools and statistical programming

Ability to research and implement new tools for automation and optimization

Technical and Professional Requirements:

5 - - 7 years of experience in data engineering and data governance within industrial domains (CPG & Manufacturing)

Strong knowledge of Azure Data Services: Azure Data Factory, Azure Databricks, Azure Data Lake Gen2Expertise in ETL processes, data integration tools, and pipeline development

Proficiency in Python, SQL, and Apache Spark

Understanding of Industry 4

0, ISA-95 standards, and maintenance strategies

Familiarity with AI/ML concepts and ability to work with advanced analytics teams

Experience with DevOps (CI/CD) for data pipeline automation

Preferred Skills:

Technology->Database->Data Modeling

Technology->OpenSystem->Python - OpenSystem

Technology->Consulting - Data Governance->Data Governance

Technology->Cloud Integration->Azure Data Factory (ADF)

Technology->Cloud Platform->Azure Analytics Services->Azure Data Lake

Technology->Data Engineering->Databricks

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Data Engineer