You are an experienced Senior Data Engineer with a strong background in Databricks, Apache Airflow, SQL, and Python. Your main responsibility will involve designing and optimizing data pipelines, ETL workflows, and cloud-based data solutions. Your expertise in big data processing, cloud-based analytics, and automation will be crucial in developing efficient and scalable data engineering solutions. You will be responsible for tasks such as designing, developing, and optimizing data pipelines using Databricks and Apache Airflow. Implementing PySpark-based transformations and processing in Databricks to handle large-scale data, and maintaining SQL-based data pipelines with a focus on performance tuning and optimization. Additionally, you will create Python scripts for automation, data transformation, and API-based data ingestion. Your role will also involve working with Airflow DAGs to efficiently schedule and orchestrate data workflows, optimizing data lake and data warehouse performance for scalability and reliability, and integrating data pipelines with cloud platforms like AWS, Azure, or GCP along with various data storage solutions. Ensuring adherence to data security, governance, and compliance standards will be a key aspect of your responsibilities. In terms of required skills and qualifications, you should have 8-9 years of experience in Data Engineering or related fields. You must possess strong expertise in Databricks (PySpark, Delta Lake, DBSQL), proficiency in Apache Airflow for scheduling and orchestrating workflows, advanced SQL skills for data extraction, transformation, and performance tuning, as well as strong programming skills in Python (pandas, NumPy, PySpark, APIs). Experience with big data technologies, distributed computing, cloud platforms (AWS / Azure / GCP), data warehousing, data modeling concepts, CI/CD pipelines, version control (Git), data governance, security, and compliance best practices are also essential. Excellent troubleshooting, debugging, and performance optimization skills are expected from you.,
We are looking for a Technical Project Manager / Scrum Master to join our team in Bangalore immediately. As a Technical Project Manager / Scrum Master, you will be responsible for leading Agile teams in utilizing Agile methodology and scrum practices to effectively plan, manage, and deliver solutions. You will coach Agile teams in self-organization, cross-functional skill set, and domain knowledge while facilitating and supporting scrum events such as Sprint Planning, Daily Scrum, Sprint Review, and Sprint Retrospective. Your role will involve working closely with Agile teams, as well as internal and external stakeholders, to influence and drive decision making. You will be tasked with resolving team impediments to enhance the application of scrum within the program and assisting Agile teams in achieving higher levels of scrum maturity. Additionally, you will contribute to the advancement and improvement of Agile practices within the program. Qualifications: - Bachelor's Degree or related field - 5-8 years of experience with a Scaled Agile Framework (SAFe) and successful Agile techniques - Experience managing projects related to Data Management, including ETL (Extract, Transform, Load) or ELT (Extract, Load, Transform), Data Engineering, and Data Lake implementation/optimization - Experience with product or project development and familiarity with Scrum, Kanban, and SAFe methodologies - Understanding of Software Development Life Cycle (SDLC) models and traditional project management principles and practices - Prior experience working on an Agile team and facilitating meetings at multiple levels of an organization - Intermediate working knowledge of Microsoft Office applications, including Outlook, Word, and Excel - Experience with Cloud Service Providers (CSPs) and certifications such as PMP, CAPM, or Agile ScrumMaster certification - Experience managing implementation or migration projects/programs using AWS and/or Oracle Cloud, as well as MS Project Experience - Salesforce, JIRA, Power BI experience preferred If you are a proactive and experienced Technical Project Manager / Scrum Master with a strong background in Agile methodologies and project management practices, we encourage you to apply for this exciting opportunity to contribute to our program's success.,
We are seeking a highly skilled Senior MLOps Engineer with 10+ years of experience in building and scaling ML platforms and workflows. The ideal candidate will have deep expertise in the GCP ecosystem , including Vertex AI, GKE, and LLMOps practices , to enable efficient model development, deployment, and monitoring. Responsibilities: Design, implement, and optimize end-to-end MLOps pipelines on GCP. Build and manage scalable ML workflows using Vertex AI, GKE, and CI/CD frameworks. Implement LLMOps best practices for deploying and monitoring large language models in production. Collaborate with Data Scientists, ML Engineers, and DevOps teams to deliver robust and reliable ML solutions . Ensure automation, observability, and governance across ML lifecycle. Drive adoption of cloud-native ML practices and optimize costs and performance. Requirements: 10+ years of experience in software engineering / MLOps / ML platform engineering. Strong hands-on experience with Google Cloud Platform (Vertex AI, GKE, AI/ML Ops tools) . Experience in LLMOps , including fine-tuning, deployment, monitoring, and scaling of large language models. Proficiency in Python, CI/CD pipelines, and container orchestration (Docker, Kubernetes) . GCP Certification (MLE preferred) is highly desirable. Excellent communication and collaboration skills to work in cross-functional teams .
Company Description At Infometry, we are transforming the way enterprises utilize data with Agentic AI, No-Code Innovation, and Intelligent Data Integration. With over 15 years of experience and 350+ successful projects, we help organizations simplify complexity and accelerate digital transformation. Our solutions include ready-to-deploy connectors, no-code accelerators, and pre-built cloud platform solutions. We have recognized expertise in enterprise data strategy, cloud data orchestration, Snowflake migration, Salesforce implementation, data quality, big data engineering, and AI/ML analytics. We collaborate with industry leaders such as Snowflake, Databricks, Informatica, AWS, GCP, Azure, MuleSoft, Tableau, Fivetran, and Matillion. Role Description This is a full-time hybrid role for a Sales Business Development Manager, located in Bengaluru with some work from home flexibility. The Sales Business Development Manager will be responsible for identifying and pursuing new business opportunities, managing client relationships, and driving revenue growth. The role includes developing and executing sales strategies, conducting market research, preparing proposals, and collaborating with the marketing team to generate leads. The Manager will also be responsible for maintaining a strong understanding of industry trends and leveraging Infometry's solutions to meet client needs. Qualifications Over 10+yrs Experience in Sales, Business Development, and Client Relationship Management Strong understanding of Enterprise Data Strategy, Cloud Data Orchestration, and AI/ML Analytics Proficiency in developing sales strategies, conducting market research, and preparing proposals Excellent communication, negotiation, and presentation skills Ability to work independently and in a team, with experience in a hybrid work environment Familiarity with industry leaders like Snowflake, Databricks, Informatica, AWS, GCP, and Azure is a plus Bachelor's degree in Business, Marketing, Computer Science, or a related field
You will be part of a dynamic team at Infometry, contributing to the transformation of enterprises" data utilization through Agentic AI, No-Code Innovation, and Intelligent Data Integration. Infometry, with its 15 years of experience and 350+ successful projects, is dedicated to simplifying complexity and accelerating digital transformation for organizations. The solutions offered by Infometry encompass ready-to-deploy connectors, no-code accelerators, and pre-built cloud platform solutions. Moreover, Infometry boasts recognized expertise in enterprise data strategy, cloud data orchestration, Snowflake migration, Salesforce implementation, data quality, big data engineering, and AI/ML analytics, collaborating with industry leaders such as Snowflake, Databricks, Informatica, AWS, GCP, Azure, MuleSoft, Tableau, Fivetran, and Matillion. - **Identify and pursue new business opportunities** - **Manage client relationships and drive revenue growth** - **Develop and execute sales strategies** - **Conduct market research and prepare proposals** - **Collaborate with the marketing team to generate leads** - **Maintain a strong understanding of industry trends** - **Leverage Infometry's solutions to meet client needs** - **Over 10 years of experience in Sales, Business Development, and Client Relationship Management** - **Strong understanding of Enterprise Data Strategy, Cloud Data Orchestration, and AI/ML Analytics** - **Proficiency in developing sales strategies, conducting market research, and preparing proposals** - **Excellent communication, negotiation, and presentation skills** - **Ability to work independently and in a team, with experience in a hybrid work environment** - **Familiarity with industry leaders like Snowflake, Databricks, Informatica, AWS, GCP, and Azure is a plus** - **Bachelor's degree in Business, Marketing, Computer Science, or a related field**,
Role Overview: As a Senior Data Engineer, your primary responsibility is to design and optimize data pipelines, ETL workflows, and cloud-based data solutions using your expertise in Databricks, Apache Airflow, SQL, and Python. You play a crucial role in driving efficient and scalable data engineering solutions by implementing big data processing techniques and automation. Key Responsibilities: - Design, develop, and optimize data pipelines utilizing Databricks and Apache Airflow. - Implement PySpark-based transformations and processing in Databricks for handling large-scale data efficiently. - Develop and maintain SQL-based data pipelines, focusing on performance tuning and optimization. - Create Python scripts for automation, data transformation, and API-based data ingestion. - Work with Airflow Directed Acyclic Graphs (DAGs) to schedule and orchestrate data workflows effectively. - Optimize data lake and data warehouse performance to ensure scalability and reliability. - Integrate data pipelines with cloud platforms such as AWS, Azure, or GCP, and various data storage solutions. - Ensure strict adherence to data security, governance, and compliance standards. Qualifications Required: - 8-9 years of experience in Data Engineering or related fields. - Strong expertise in Databricks including PySpark, Delta Lake, and DBSQL. - Proficiency in Apache Airflow for scheduling and orchestrating workflows. - Advanced SQL skills for data extraction, transformation, and performance tuning. - Strong programming skills in Python covering pandas, NumPy, PySpark, and APIs. - Experience with big data technologies and distributed computing. - Hands-on experience with cloud platforms like AWS, Azure, or GCP. - Expertise in data warehousing and data modeling concepts. - Understanding of CI/CD pipelines and version control using Git. - Experience with data governance, security, and compliance best practices. - Excellent troubleshooting, debugging, and performance optimization skills.,