Role & responsibilities Senior DevOps Engineer requires expertise in AWS and Databricks, with a preference for broad cloud experience. The role involves designing, implementing and optimizing CI/CD pipelines, Infrastructure as Code (IaC) and cloud automation solutions. Strong skills in monitoring, security, and scalability within cloud environments are essential. Strong skills in monitoring, security, and scalability within cloud environments area essential. Candidates should have experience in containerization, scripting, and cloud native services, ensuring efficient deployment and management of data and analytics workloads. Years of Experience: 5+ Minimum Preferred candidate profile Strong experience with AWS services (EC2, S3, Lambda, IAM, RDS, etc.) and cloud infrastructure automation. Expertise in Databricks deployment, optimization, and security best practices. Proficiency in CI/CD pipelines using tools like GitHub Actions, Jenkins, or AWS CodePipeline. Experience with Infrastructure as Code (IaC) using Terraform or CloudFormation. Strong scripting skills in Python, Bash, or PowerShell for automation. Familiarity with containerization and orchestration (Docker, Kubernetes, EKS). Knowledge of cloud security, monitoring, and logging (AWS Security Hub, CloudWatch, Datadog). Broad understanding of multi-cloud and hybrid cloud architectures is a plus.
Hiring BIM Modeler to create accurate 3D models from 2D drawings, export IFC files with correct structure, apply proper classifications, and ensure model quality for quantity takeoff. Must know Revit, IFC standards, and self-checking.
Lead Databricks to Snowflake migration. Expertise in PySpark, Snowflake, DBT, Airflow, CI/CD, SQL optimization, and orchestration. Ensure scalable, high-performance pipelines with strong DevOps and monitoring practices.
Identify and research potential clients through lead generation Qualify leads and set up appointments for the sales team Maintain accurate records of calls, meetings, and follow-ups in the CRM Collaborate with sales and marketing teams
Hiring Automation Test Engineer with 3+ yrs exp in Java, Selenium, TestNG, and CI/CD (Jenkins/GitHub). Must build test scripts, frameworks, perform UI/API testing, and log defects using JIRA/TestRail. Strong testing and automation skills required.
Role & responsibilities Scrum/Agile development methodologies Cloud-based application development and deployment (MS Azure preferred). Front-end and back-end software development (.NET, MVC, Web API, C#, SQL, Azure) Visual Studio/Visual Code Distributed source code control (Git, GitHub, Bitbucket) Agile software development suite of tools (Azure DevOps, Jira, etc.) Relational databases including writing stored procedures and queries
Job Title: Data Engineer Experience: 3-8 Years Location: Jaipur, India Employment Type: Full-time About the Role: We are looking for a skilled and motivated Data Engineer to join our team in Jaipur. The ideal candidate will have strong experience in designing, building, and optimizing data pipelines and architectures for large-scale data processing. You will work closely with data scientists, analysts, and business stakeholders to ensure smooth data flow and accessibility across systems. Key Responsibilities: Design, develop, and maintain scalable ETL/ELT pipelines to support data integration and analytics. Work with structured, semi-structured, and unstructured data across multiple platforms. Optimize data workflows for performance, scalability, and reliability . Collaborate with cross-functional teams (Data Science, BI, Business teams) to deliver data solutions. Implement data quality checks, monitoring, and governance to ensure accuracy and security. Manage data pipelines on cloud platforms (AWS, Azure, or GCP) and modern data tools. Troubleshoot, debug, and resolve issues in existing data workflows. Required Skills & Qualifications: 3-8 years of experience as a Data Engineer or in a similar role. Strong expertise in SQL and relational databases (e.g., MySQL, PostgreSQL, SQL Server). Hands-on experience with Big Data technologies like Spark, Hadoop, or Kafka. Proficiency in Python, Scala, or Java for data processing. Experience with Cloud Data Platforms (Azure Data Factory, Databricks, AWS Glue, GCP BigQuery, etc.). Knowledge of data warehousing concepts and dimensional modeling. Familiarity with modern data stack tools (dbt, Airflow, Snowflake, Redshift, Synapse). Strong problem-solving and debugging skills. Good to Have: Experience in CI/CD pipelines and DevOps for data workflows. Exposure to machine learning data pipelines . Knowledge of data security and compliance practices. Education: Bachelors or Masters degree in Computer Science, Information Technology, Data Engineering, or related field.
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