Urgent! Data Integration Engineer Job Opening In Bengaluru – Now Hiring Grizmo Labs Private Limited
<p><p><b>Description :</b><br/><br/>Position : Data Integration Engineer<br/><br/>Experience : 2-5 Years<br/><br/>Location : Bangalore<br/><br/>Industry Type : Logistics / Supply Chain Technology (Assumed)<br/><br/>Education : Bachelor's degree in Computer Science or a related field.<br/><br/><b>Job Summary :</b><br/><br/>We are seeking a proactive Data Integration Engineer with 2-5 years of hands-on experience in building and optimizing robust data pipelines.
The role requires strong proficiency in Python (including Pandas/NumPy), an excellent grasp of data structures and algorithms, and practical experience with ETL/data integration workflows.
The Engineer will be responsible for designing and managing data exchange across various formats (JSON/XML, CSV, EDI) and sources (REST APIs, relational/NoSQL databases), with mandatory experience in workflow orchestration using Apache Airflow.<br/><br/><b>Job Description :</b><br/><br/><b>Data Pipeline Design and Development (ETL) :</b><br/><br/>- Design, build, and maintain robust ETL/data pipelines or data integration workflows to ensure the seamless, high-volume flow of data between internal and external systems.<br/><br/>- Demonstrate mandatory Proficiency in Python, utilizing related libraries such as Pandas and NumPy for complex data manipulation, cleansing, and transformation tasks.<br/><br/>- Apply a strong understanding of object-oriented programming (OOP) principles, data structures, and algorithms to develop scalable and efficient code.<br/><br/>- Ensure the quality and reliability of integrated data by implementing rigorous testing and error handling within all ETL processes.<br/><br/><b>Data Management and Integration Technologies :</b><br/><br/>- Possess comprehensive knowledge of both relational and non-relational databases, including expertise in data modeling and normalization techniques to optimize storage and retrieval efficiency.<br/><br/>- Work hands-on with various data formats, including structured files like JSON and XML, and flat file formats such as CSV and EDI (Electronic Data Interchange), which are critical for the logistics domain.<br/><br/>- Develop and manage data retrieval mechanisms by working extensively with REST APIs for integrating external partner and client data sources.<br/><br/>- Create, schedule, and manage complex workflows using Apache Airflow to orchestrate pipelines, manage task dependencies, and monitor job execution effectively.<br/><br/><b>Collaboration and System Optimization :</b><br/><br/>- Analyze data flow requirements and perform detailed impact analysis for changes to upstream and downstream systems.<br/><br/>- Demonstrate the ability to collaborate effectively within teams and exhibit the discipline to work independently when necessary to meet project deadlines.<br/><br/>- Contribute to system optimization efforts, focusing on improving the performance, resilience, and cost-effectiveness of data integration infrastructure.<br/><br/><b>Required Skills & Qualifications :</b><br/><br/>- Experience : Mandatory 2-5 years of experience in data engineering or integration.<br/><br/>- Core Programming : Proficiency in Python and related libraries (Pandas and NumPy).<br/><br/>- Fundamentals : Strong understanding of object-oriented programming, data structures, and algorithms.<br/><br/>- Databases : Knowledge of relational and non-relational databases, data modeling, and normalization.<br/><br/>- Pipelines : Hands-on experience designing and building ETL/data pipelines or data integration workflows.<br/><br/>- Orchestration : Experience creating workflows using Apache Airflow.<br/><br/>- Formats/APIs : Experience with structured (JSON/XML) and flat files (CSV, EDI), and working with REST APIs.<br/><br/>- Education : Bachelor's degree in Computer Science or a related field.<br/><br/><b>Preferred Skills :</b><br/><br/>- Cloud : Exposure to AWS or other cloud platforms (e.g., Azure, GCP) and cloud-native data services.<br/><br/>- Client Engagement : Prior client-facing experience for requirement gathering and technical discussion.<br/><br/>- Domain : Familiarity with data standards and integration challenges within the Logistics or Supply Chain domain.</p><br/></p> (ref:hirist.tech)
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Unlock Your Data Integration Potential: Insight & Career Growth Guide
Real-time Data Integration Jobs Trends in Bengaluru, India (Graphical Representation)
Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph below. This graph displays the job market trends for Data Integration in Bengaluru, India using a bar chart to represent the number of jobs available and a trend line to illustrate the trend over time. Specifically, the graph shows 172239 jobs in India and 13757 jobs in Bengaluru. This comprehensive analysis highlights market share and opportunities for professionals in Data Integration roles. These dynamic trends provide a better understanding of the job market landscape in these regions.
Great news! Grizmo Labs Private Limited is currently hiring and seeking a Data Integration Engineer to join their team. Feel free to download the job details.
Wait no longer! Are you also interested in exploring similar jobs? Search now: Data Integration Engineer Jobs Bengaluru.
An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Grizmo Labs Private Limited adheres to the cultural norms as outlined by Expertini.
The fundamental ethical values are:The average salary range for a Data Integration Engineer Jobs India varies, but the pay scale is rated "Standard" in Bengaluru. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.
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Before the Interview:To prepare for your Data Integration Engineer interview at Grizmo Labs Private Limited, research the company, understand the job requirements, and practice common interview questions.
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