Job highlights

- Hands-on experience in implementing,supporting,and administering modern cloud-based data solutions (Google BigQuery,AWS Redshift,Azure Synapse,Snowflake,etc). Robust programming skills in SQL,Java,and Python.
- Experience in configuring and managing data pipelines using Apache Airflow,Informatica,Talend,SAP BODS or API-based extraction.
- Experience & Skills

Title

Data Engineer

A Data Engineer is responsible for designing, building, and maintaining large-scale data systems and infrastructure

Their primary goal is to ensure that data is properly collected, stored, processed, and retrieved to support business intelligence, analytics, and data-driven decision-making

Key Responsibilities

Design and Develop Data Pipelines: Create data pipelines to extract data from various sources, transform it into a standardized format, and load it into a centralized data repository

Build and Maintain Data Infrastructure: Design, implement, and manage data warehouses, data lakes, and other data storage solutions

Ensure Data Quality and Integrity: Develop data validation, cleansing, and normalization processes to ensure data accuracy and consistency

Collaborate with Data Analysts and Business Process Owners:



Work with data analysts and business process owners to understand their data requirements and provide data support for their projects

Optimize Data Systems for Performance: Continuously monitor and optimize data systems for performance, scalability, and reliability

Develop and Maintain Data Governance Policies: Create and enforce data governance policies to ensure data security, compliance, and regulatory requirements

Experience & Skills

Hands-on experience in implementing, supporting, and administering modern cloud-based data solutions (Google BigQuery, AWS Redshift, Azure Synapse, Snowflake, etc)

Strong programming skills in SQL, Java, and Python

Experience in configuring and managing data pipelines using Apache Airflow, Informatica, Talend, SAP BODS or API-based extraction

Expertise in real-time data processing frameworks

Strong understanding of Git and CI/CD for automated deployment and version control

Experience with Infrastructure-as-Code tools like Terraform for cloud resource management

Good stakeholder management skills to collaborate effectively across teams

Solid understanding of SAP ERP data and processes to integrate enterprise data sources

Exposure to data visualization and front-end tools (Tableau, Looker, etc)

Strong command of English with excellent communication skills

📌 Data Engineer (Gurugram)
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📍 Gurugram