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2 - 4 years

10 - 15 Lacs

Posted:3 weeks ago| Platform: Naukri logo

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Full Time

Job Description

Job Overview: We are looking for 2-4 years of experience who are enthusiastic problem solvers and are eager to explore their careers in Software Integration & Data Engineering. You will be working on data integration, automation, and system orchestration to ensure seamless data flow between various applications and databases. If you love solving real-world data challenges, scripting in Python, writing SQL queries, and working on DevOps-like tasks, this role is for you! What Youll Do: Develop data parsers to process incoming structured and unstructured data Design and optimize database schemas for efficient storage and retrieval Work with RunDeck or similar orchestration tools to automate calculations and workflows Aggregate and process time-series data for KPI calculations and analytics Write efficient Python scripts and SQL queries for data processing and ETL tasks Use GIT for version control and collaborate with teams on code deployment Learn and implement DevOps practices for automation and system reliability Collaborate with cross-functional teams to integrate software solutions What Were Looking For: Good programming skills in Python & SQL Basic understanding of databases and ability to create schemas Familiarity with version control (Git/GitHub/GitLab) Interest in DevOps, automation, and cloud computing Strong analytical mindset and problem-solving skills Willingness to learn new tools & technologies Why Join Us? Mentorship & Training: Hands-on guidance from experienced engineers Growth Opportunities: Clear career path to senior roles in software integration, DevOps, or data engineering Real-World Impact: Work on projects that directly impact our business and clients Tech-Driven Culture: Use modern tools and best practices in automation and software integration Bonus Skills (Not Mandatory but Nice to Have): Experience with Docker/Kubernetes Familiarity with RunDeck, Airflow, or similar automation tools • Exposure to cloud platforms (AWS, Azure, GCP)

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