Role & responsibilities Develop and maintain robust, scalable, and secure Python-based applications. Collaborate with cross-functional teams to define, design, and ship new features. Write clean, efficient, and maintainable code. Provide guidance and mentorship to junior developers, assisting in their professional growth and development. Perform code reviews to ensure code quality and adherence to best practices. Troubleshoot, debug, and resolve issues in a timely manner. Stay up to date with emerging technologies and best practices in software development. Preferred candidate profile Proficiency in Python programming language. Experience with Django, Fast API and Pydantic. Familiarity with Azure cloud services. Knowledge of MS SQL and database management. Bachelor's degree in computer science, Engineering, or a related field. Minimum of 4 years of professional experience in Python development. Strong problem-solving skills and attention to detail. Excellent communication and collaboration skills. Ability to work effectively in a fast-paced environment and meet deadlines.

We are looking for a skilled Databricks Solution Architect who will lead the design and implementation of data migration strategies and cloud-based data and analytics transformation on the Databricks platform. This role involves collaborating with stakeholders, analyzing data, defining architecture, building data pipelines, ensuring security and performance, and implementing Databricks solutions for machine learning and business intelligence. The candidate should possess over 7 years of data engineering experience, including 3+ years of hands-on Databricks experience, strong cloud platform knowledge, and expertise in Spark, Delta Lake, Python, Scala, and SQL, with a focus on delivering scalable and optimized data architectures, we would love to hear from you! Sr. Business Development Executive As a Sr. Business Development Executive at PalTech, you will play a pivotal role in driving our growth by identifying and generating new business opportunities. The role requires expertise in lead generation through Email Marketing, LinkedIn Marketing, and Cold Calling, targeting clients in the USA, UK, and Australia. You will collaborate closely with the sales team to build a robust pipeline, understand customer needs, and propose tailored IT solutions. This is a dynamic and fast-paced role ideal for individuals with excellent communication skills and a knack for building lasting client relationships Highly skilled Senior SQL Developer to develop, manage and optimize our SQL databases. Candidates need to have database design, SQL querying skills, performance tuning, data profiling, data anonymization skills. This role requires strong analytical and problem-solving skills and the ability to work collaboratively with cross-functional teams. Product Manager Vendor Management System (VMS) Specialist We are seeking an experienced Product Manager with specialized expertise in Vendor Management Systems (VMS) to create roadmap, build specifications, lead and train cross-functional teams. The candidate will play a pivotal role in defining the product roadmap, working closely with stakeholders, and ensuring successful delivery aligned with business goals. The ideal candidate should have deep expertise in VMS domain, a strategic mindset, and the ability to lead cross-functional teams. Highly skilled Senior SQL Developer with Performance Tuning DBA to develop, manage and optimize our SQL databases. Candidates need to have database design, SQL querying skills, performance tuning, backup and recovery, and security management. This role requires strong problem-solving skills and the ability to work collaboratively with cross-functional teams Python Full Stack Developer We are looking for an experienced and highly skilled Python Full Stack Developer to join our innovative team. The ideal candidate will play a critical role in designing, developing, and maintaining end-user applications and APIs using Django and React. This role requires strong expertise in Python programming, front-end development, and experience with modern software development practices, including Agile methodologies and CI/CD automation Roles and Responsibilities Preferred Skills Nice to have Education MongoDB Admin and Developer We are seeking a highly skilled and meticulous Mid-level MongoDB Developer with over 4 years of experience to join our team. The ideal candidate will have a strong command of MongoDB architecture, administration, and advanced features, including sharding, replication, and data modelling. This role involves designing, implementing, and optimizing scalable database solutions while ensuring data security, reliability, and high performance. The candidate will also work with MongoDB Atlas services and manage distributed database systems for critical applications Seeking a seasoned Azure Data Engineer with expertise in building scalable data pipelines for large datasets using Azure Data Factory, Data Lake, Databricks, and Synapse. The ideal candidate will possess strong Pyspark, scripting (PowerShell, Shell, Python) skills, experience with Data Vault methodology, DBT, and agile development practices. Responsibilities include designing, implementing, and automating data integration and validation processes, contributing to architectural design, and collaborating with stakeholders to deliver data-driven solutions. As an Azure DevOps Engineer, you ll be managing CI/CD pipelines, automating deployments, and ensuring smooth operations in Azure Cloud Services. Youll work with IaC(Terraform/Bicep), Docker/Kubernetes, and set up monitoring to keep systems reliable. Expect to handle Git, networking, and scripting (Bash/PowerShell) while keeping security and compliance in check. Strong problem-solving skills, a proactive mindset, and clear communication will help you thrive in this role. Business Analyst Health Care/PC Insurance Looking for a Business analyst who can conduct research and analysis in order to come up with solutions to business problems and help to introduce these solutions to businesses and clients. Dot Net Full Stack Lead We are seeking a talented and motivated Dot Net Full Stack Lead to join our dynamic team. The ideal candidate will have a strong foundation in .Net Framework, .Net Core, and object-oriented programming, along with hands-on experience in front-end technologies like HTML, CSS, and JavaScript (with frameworks such as Angular or React). This role involves developing, maintaining, and optimizing software programs, ensuring high performance, scalability, and functionality. Stay Up to Date Get all the latest stories, insights and happenings across the organisation and stay close to us through our social channels. Join our Talent Network Didn t find a job that suits youDon t worry! Submit your details with us and we ll get back to you when we are open for the position of your choice!

Role Summary: We are seeking an experienced PostgreSQL Database Lead to design, implement, and optimize scalable, high-performance database solutions. This role involves leading a team of database engineers, collaborating with cross-functional teams, and serving as the key link between business stakeholders and technical teams. The ideal candidate will bring deep expertise in PostgreSQL, strong SQL skills, and hands-on experience with performance tuning, replication, partitioning, and database security. You'll play a pivotal role in defining best practices, ensuring data integrity, and driving innovation in database architecture and operations. Key Responsibilities: Design and implement scalable, high-performance database solutions using PostgreSQL. Lead a team of database engineers and collaborate with cross-functional teams (Development, DevOps, QA, Business etc.). Act as a primary liaison between business stakeholders, clients, and technical teams to ensure alignment on goals, timelines, and deliverables. Proactively manage expectations and drive consensus across diverse teams. Define data models, schema structures, and normalization standards to meet business needs. Analyse and optimize complex queries and stored procedures. Monitor database performance and recommend improvements in indexing, query execution plans, and I/O efficiency. Lead the design of data replication, partitioning, sharding, and backup strategies. Oversee daily maintenance, monitoring, and backups of database systems. Establish and maintain procedures for disaster recovery, high availability, and failover mechanisms. Define best practices, coding standards, and automation strategies for database operations. Implement and enforce data security and access controls. Ensure compliance with data protection policies and regulatory requirements. Evaluate and implement tools for database observability, monitoring, and CI/CD integration. Research and introduce new technologies and features to improve DB performance and reliability. Required Skills: 6+ years of experience in database development and administration, with at least 3 years in PostgreSQL. Strong communication and leadership skills with experience leading a team. Strong Coordination & Collaboration Skills. Expert-level SQL skills and strong understanding of relational database theory. Experience with PostgreSQL performance tuning, vacuuming, partitioning, and query planning. Strong knowledge of replication (logical and physical), streaming, and failover strategies. Strong analytical skills.

Role : Were looking for a skilled Databricks Solution Architect who will lead the design and implementation of data migration strategies and cloud-based data and analytics transformation on the Databricks platform. This role involves collaborating with stakeholders, analyzing data, defining architecture, building data pipelines, ensuring security and performance, and implementing Databricks solutions for machine learning and business intelligence. Key Responsibilities: Define the architecture and roadmap for cloud-based data and analytics transformation on Databricks. Design, implement, and optimize scalable, high-performance data architectures using Databricks. Build and manage data pipelines and workflows within Databricks. Ensure that best practices for security, scalability, and performance are followed. Implement Databricks solutions that enable machine learning, business intelligence, and data science workloads. Oversee the technical aspects of the migration process, from planning through to execution. Create documentation of the architecture, migration processes, and solutions. Provide training and support to teams post-migration to ensure they can leverage Databricks. Preferred candidate profile: Experience: 7+ years of experience in data engineering, cloud architecture, or related fields. 3+ years of hands-on experience with Databricks, including the implementation of data engineering solutions, migration projects, and optimizing workloads. Strong experience with cloud platforms (e.g., AWS, Azure, GCP) and their integration with Databricks. Experience in end-to-end data migration projects involving large-scale data infrastructure. Familiarity with ETL tools, data lakes, and data warehousing solutions. Skills: Expertise in Databricks architecture and best practices for data processing. Strong knowledge of Spark, Delta Lake, DLT, Lakehouse architecture, and other latest Databricks components. Proficiency in Databricks Asset Bundles Expertise in design and development of migration frameworks using Databricks Proficiency in Python, Scala, SQL, or similar languages for data engineering tasks. Familiarity with data governance, security, and compliance in cloud environments. Solid understanding of cloud-native data solutions and services.

Key Responsibilities: Design and develop the migration strategies and processes Collaborate with stakeholders to understand business requirements and technical challenges. Analyze current data and scope for optimization during the migration process. Define the architecture and roadmap for cloud-based data and analytics transformation on Databricks. Design, implement, and optimize scalable, high-performance data architectures using Databricks. Build and manage data pipelines and workflows within Databricks. Ensure that best practices for security, scalability, and performance are followed. Implement Databricks solutions that enable machine learning, business intelligence, and data science workloads. Oversee the technical aspects of the migration process, from planning through to execution. Work closely with engineering and data teams to ensure proper migration of ETL processes, data models, and analytics workloads. Troubleshoot and resolve issues related to migration, data quality, and performance. Create documentation of the architecture, migration processes, and solutions. Provide training and support to teams post-migration to ensure they can leverage Databricks. Experience: 7+ years of experience in data engineering, cloud architecture, or related fields. 3+ years of hands-on experience with Databricks, including the implementation of data engineering solutions, migration projects, and optimizing workloads. Strong experience with cloud platforms (e.g., AWS, Azure, GCP) and their integration with Databricks. Experience in end-to-end data migration projects involving large-scale data infrastructure. Familiarity with ETL tools, data lakes, and data warehousing solutions. Skills: Expertise in Databricks architecture and best practices for data processing. Strong knowledge of Spark, Delta Lake, DLT, Lakehouse architecture, and other latest Databricks components. Proficiency in Databricks Asset Bundles Expertise in design and development of migration frameworks using Databricks Proficiency in Python, Scala, SQL, or similar languages for data engineering tasks. Familiarity with data governance, security, and compliance in cloud environments. Solid understanding of cloud-native data solutions and services.

Role Summary Were looking for a Research & Technology-Driven PreSales - Solutions Consultant . This hands-on role is for someone who understands how modern software systems are built and can contribute to RFP/RFI responses, solution proposals, and prospect conversations across Application Development, Data & Analytics, AI/ML, Cloud, and industries like Healthcare, Insurance, Financial Services, Retail, etc. Key Responsibilities: Conduct focused market and technology research to support solution positioning and value articulation Support PreSales functions on Research, Business Analysis, Solutions, proposals, RFP/RFI responses , and related presales work. Work closely with internal teams to gather inputs on technical architecture, delivery models, and effort estimation Translate client requirements into high-level solution narratives aligned with service capabilities Contribute to prospect discussions involving application development, cloud adoption, data platforms, and AI/ML use cases Participate in calls and interactions with prospects to clarify needs and explain proposals when needed Ensure all presales deliverables reflect the standards of premier IT Company, demonstrating a strong understanding of SDLC processes, delivery methodologies, and modern IT best practices Must Have: Minimum 4+ years of experience in presales, bid support, or solution consulting in an IT services environment Must be up to date with modern technologies, emerging use cases, and industry trends, with the ability to apply this knowledge effectively in a presales consulting role. Exposure to or experience with cloud platforms, Application Development, Data engineering concepts, and AI/ML solution patterns Understanding of software systems, architecture components , and delivery processes Excellent executive-level communication skills, with strong capabilities in research, analytical reasoning, and documentation. Highly energetic with right aptitude and attitude to learn new concepts and do research Ability to work independently and handle multiple tasks under tight deadlines Exposure to global markets (US / Europe). Preferred Qualifications: B.E./B.Tech in Computer Science, IT, or a related field Hands-on experience with tools like MS Office, Visio, Lucid chart etc. MBA is a plus but not mandatory Any Technical Certifications on Cloud or Other technology Platforms.

Job Description: A self-managed Senior Database Developer to support SQL optimization, reporting, and data exports. The role includes helping two other team members with data export reviews and working with the business team to deliver on data needs. Key Responsibilities: Optimize and troubleshoot SQL queries Create and maintain data exports Review and support data exports created by other team members Update and develop SSRS and Power BI reports Work with business users to understand and respond to reporting needs Requirements: Strong SQL skills and experience with SSRS/Power BI Self-driven with the ability to work independently Good communication skills to support team members and business stakeholders

Role & responsibilities Role Summary As a Data QE at PalTech you will play an important role in designing and executing test strategies for end-to-end data validation, ensuring data completeness, accuracy, and integrity across ETL processes, data warehouses, and reports. You will automate data testing using Python, validate fact and dimension tables, large datasets, file ingestions, and data exports while ensuring adherence to data security standards, including encryption and authorization. Proficiency in SQL, Python, ETL/ELT tools, and reporting platforms like Power BI or Tableau is essential. The role requires strong analytical skills, collaboration with cross-functional teams, and the ability to enhance testing processes through automation and best practices. Key Responsibilities Create test strategies, test plans, business scenarios, data validation scripts for end-to-end data validation. Verify data completeness, accuracy, and integrity throughout the ETL processes and reports. Evaluate the performance of ETL jobs and ensure that they meet defined SLAs Automate the data testing process using Python or other technologies Experienced in validating various types of fact tables and dimension tables DWH skills are a must Should have expertise in validating larger datasets Should have experience working with relational databases Should have experience in validation of file ingestions and data exports Should be expert in validation of the data security standards implemented in the project Should be proficient in SQL, Python, validation of ETL/ELT tools Should be proficient in validation of reports and dashboards Should be proficient in writing complex scripts to validate business logics and KPIs Should be proficient in validating data encryption, anonymization, authorization processes Extensive experience in creating test data as and when needed based on the business requirements Should be able to identify and validate the corner business use cases Prepare comprehensive test documentation including test cases, test results, and test reports. Work closely with cross-functional teams including developers, business analysts, and data architects. Suggest enhancements and implement the best practices to improve testing processes. Required Skills and Qualifications Educational Background: Bachelors degree in computer science, Information Technology, or a related field. Technical Skills: Strong understanding of ETL processes, data warehousing concepts, and SQL. Should have strong Python skills Experience: 4 to 6 years of experience in ETL testing and reports validation. Experience in automation of data validation processes Tools: Familiarity with ETL tools like ADF, DBT, etc., and defect tracking systems like JIRA. Experience with any reporting tools like Power BI, Tableau, etc Soft Skills: Excellent communication, teamwork abilities, and strong analytical and problem-solving skills. Preferred candidate profile