Job Title: Senior Data Engineer Location: Hyderabad, India (Hybrid Model) Experience Required: 8+ Years Contract Duration: 1 Year Work Mode: Onsite (Hybrid Model) Job Description: We are seeking a highly skilled and experienced Senior Data Engineer for a contractual opportunity (C2C) with a duration of 1 year. The ideal candidate will have a strong background in Airflow, Python, AWS, and Big Data technologies (especially Spark) and be capable of building scalable and efficient data engineering solutions in a hybrid onsite role based in Hyderabad. Mandatory Skills: Apache Airflow: Expertise in workflow orchestration, DAG creation, and managing complex data pipelines. Python: Proficient in writing clean, scalable, and efficient code for ETL and data transformation. AWS: Hands-on experience with core AWS services like S3, Lambda, Glue, Redshift, EMR, and CloudWatch. Big Data (Spark): Strong experience with Spark (PySpark or Scala), handling large datasets and distributed computing. Key Responsibilities: Design, implement, and maintain scalable data pipelines and ETL workflows using Airflow and Python. Develop and manage robust cloud-based solutions using AWS. Collaborate with cross-functional teams including data scientists, analysts, and business stakeholders. Handle large-scale structured and unstructured data processing using Spark and related technologies. Ensure high standards of data quality, security, and governance. Apply CI/CD practices for deployment and maintain monitoring/logging mechanisms. Qualifications: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field. Minimum of 8 years of relevant experience in Data Engineering. Strong problem-solving skills and the ability to work in a fast-paced, hybrid environment. Excellent verbal and written communication skills. Preferred Skills: Experience with data cataloging, governance, and lineage tools. Exposure to Docker/Kubernetes for containerized workloads. Knowledge of alternative orchestration tools like Prefect or Luigi is a plus. Contact Us: Email: career@munificentresource.in Call/WhatsApp: +91 90643 63461 Subject Line: Senior Data Engineer (Hyd) . Job Types: Full-time, Contractual / Temporary Contract length: 12 months Pay: ₹75,000.00 - ₹85,000.00 per month Schedule: Day shift Night shift Work Location: In person
Job Title: Senior UI Developer – React, Next.js, Node.js Experience: 8+ Years Overall | 5+ Years in Frontend Development (React & Next.js) Location: Hyderabad (Hybrid mode) Employment Type: Full-Time Job Overview We are looking for an experienced Senior UI Developer with strong expertise in React , Next.js , Node.js , and modern JavaScript frameworks. The ideal candidate will also have exposure to emerging AI tools like Cursor.ai to help streamline development and boost engineering productivity. You will play a key role in creating high-performance, scalable web interfaces and backend services in a fast-paced agile environment. Key Responsibilities Develop and maintain scalable , responsive user interfaces using React and Next.js . Build and integrate backend services and RESTful APIs using Node.js . Leverage Cursor.ai to enhance productivity and integrate AI into the development workflow. Collaborate with UX/UI designers to translate wireframes and visual concepts into pixel-perfect components. Write clean , well-documented , and maintainable code using best practices and design principles. Participate in code reviews, provide technical guidance, and promote high-quality development. Optimize web applications for speed , performance , accessibility , and SEO . Troubleshoot and resolve cross-browser and cross-platform compatibility issues. Work closely with cross-functional teams including product managers, designers, and QA engineers. Required Qualifications Minimum 5+ years of hands-on frontend development experience using React and Next.js . Total 8+ years of software development experience. Strong proficiency in JavaScript (ES6+) , HTML5 , and CSS3 . Experience working with Node.js in a full-stack or backend capacity. Working knowledge of Cursor.ai or strong interest in integrating AI into development processes. Experience with RESTful APIs , state management (Redux, Context API, etc.), and Git-based workflows . Familiarity with CI/CD pipelines and modern deployment tools. Preferred Qualifications Experience with TypeScript and Server-Side Rendering (SSR) using Next.js. Exposure to Headless CMS platforms and API-first architectures. Prior experience working in AI-powered development environments . Familiarity with GraphQL , data-fetching patterns, and modern frontend architectures . Understanding of accessibility (WCAG) , responsive design , and performance optimization techniques . Why Join Us? If you're passionate about building user-centric, high-performance UIs and eager to work with innovative tools like Cursor.ai , this is your opportunity to be part of a dynamic and forward-thinking team. Contact Information - Email: career@munificentresource.in -Call/WhatsApp: +91 9064363461 Job Types: Full-time, Contractual / Temporary Contract length: 6 months Pay: Up to ₹70,000.00 per month Benefits: Work from home Schedule: Monday to Friday Night shift US shift Work Location: In person
Job Title: Data Engineer Experience: 4–6 Years Location: Hyderabad (Onsite) Employment Type: Contract (6 Months – 1 Year) Industry: Information Technology / Data Engineering / Cloud Working Model: Onsite About the Role: We are seeking a highly skilled and motivated Data Engineer with strong experience in building scalable data pipelines and working with modern cloud-based data ecosystems. The ideal candidate will have hands-on experience with Databricks, Apache Spark, and Google Cloud Platform (GCP) , especially BigQuery , and a passion for driving data initiatives that power intelligent decision-making across the organization. Key Responsibilities: Design, build, and optimize large-scale, reliable data pipelines using Databricks , GCP (BigQuery) , and other modern tools. Perform advanced SQL querying, data wrangling , and complex data transformations to support analytics and machine learning initiatives. Handle structured and semi-structured data, and apply Exploratory Data Analysis (EDA) techniques to derive insights. Work closely with data scientists to implement and deploy data models and pipelines into production environments. Ensure data quality, reliability, lineage , and security across the entire data pipeline lifecycle. Participate in data architecture discussions and influence decisions around data design and storage strategy . Contribute to data democratization by ensuring business users have access to clean and usable data. Create detailed documentation and reusable frameworks for data ingestion, transformation, and operational workflows. Required Skills & Qualifications: 3–6+ years of experience in a Data Engineering role or similar. Strong expertise in Databricks and Apache Spark . Deep hands-on experience with GCP BigQuery – including performance tuning, partitioning, and optimization. Proficiency in advanced SQL – including complex joins, CTEs, window functions, and query optimization. Solid experience with Python for data manipulation and developing robust pipelines. Familiarity with data science concepts – such as feature engineering, basic model implementation, and evaluation metrics. Knowledge of data profiling , EDA , and statistical analysis . Sound understanding of data structures , normalization/denormalization , and metadata management . Demonstrated understanding of how data impacts business decisions and product development. Strong problem-solving , communication, and collaboration skills. Education: Bachelor’s degree in Computer Science , Information Systems , Engineering , Computer Applications , or a related technical discipline. Preferred Qualifications (Nice to Have): Exposure to modern data orchestration tools (e.g., Airflow, dbt). Experience working in Agile environments and cross-functional teams. For more information or to apply, contact us at: -career@munificentresource.in -Call/WhatsApp: +91 9064363461 -Subject Line: Application for Data Engineer – Hyderabad Would you like a PDF version of this JD as well? Job Types: Full-time, Contractual / Temporary Contract length: 6 months Pay: Up to ₹70,000.00 per month Work Location: In person
Job Title: Data Architect Location: Bengaluru (Hybrid – Preferred) / Remote Duration: 6 Months Contract Salary: ₹1,10,000 Per Month ( Take Home) Shift Requirement: Must overlap US hours until at least 1:00 AM IST Role Overview We are seeking an experienced Data Architect who can drive data warehouse and lakehouse initiatives, collaborate with cross-functional teams, and ensure high-quality data architecture delivery. The ideal candidate will have strong expertise in Azure data components, proven experience in end-to-end implementations, and the ability to work effectively across both technical and business stakeholders. Key Responsibilities Lead end-to-end implementation of Data Warehouse and Data Lakehouse projects. Translate business requirements into conceptual and technical specifications. Collaborate with source system experts to finalize ETL and analytics designs. Support data modelers and developers in ETL design and development. Create detailed activity plans and track deliverables against agreed timelines. Manage environment setup, capacity planning, and deployment strategies in Azure. Optimize cloud resources for cost efficiency and sustainability (Green Cloud Computing). Communicate effectively with stakeholders and guide decision-making. Required Skills & Experience 8+ years of experience in Data Warehouse / Lakehouse programming. Successfully implemented at least 2 end-to-end Data Warehouse / Data Lake projects. Hands-on experience delivering at least 1 Azure Data Warehouse / Lakehouse project end-to-end. Strong expertise in Microsoft Azure components : Azure Data Factory, Azure Synapse, Azure SQL Database, Azure Key Vault, MS Fabric, Azure DevOps (ADO), Virtual Networks (VNets). Proficient in Medallion Architecture for Lakehouses and data modeling in the Gold layer. In-depth knowledge of Data Warehouse design principles (star schema, snowflake schema, data partitioning). Extensive experience with MS SQL Database (packages, stored procedures, triggers, functions, data transformations). Good knowledge of SQL Loader, Data Pump, Import/Export utilities . Strong focus on performance tuning . Experience with BI & visualization tools (Tableau, Power BI). Capacity Planning & Environment Management Proven track record in environment setup and deployment strategies within Azure. Experience with cloud cloning/copying for development, testing, and production environments. Preferred Qualifications Certifications: Azure Solutions Architect Expert or Azure Data Engineer Associate. Experience in cost/benefit analysis and demand estimation . Strong interpersonal and communication skills to influence stakeholders. Immediate Joiners Preferred We are looking for candidates who can join immediately and support ongoing projects without delay. How to Apply If you meet the above requirements and are interested in this opportunity, please share your updated resume at: [email protected] +91-9064363461 ( WhatsApp / Call ) Job Types: Full-time, Contractual / Temporary Contract length: 6 months Pay: Up to ₹110,000.00 per month Work Location: In person