Role Overview: We re seeking a dynamic Digital Marketing Executive with 3-4 years of experience to lead and execute our marketing initiatives. You will play a critical role in driving brand awareness, generating qualified leads, and supporting business growth. Key Responsibilities: Develop and execute marketing campaigns across digital, social, and traditional channels. Collaborate with internal teams to create engaging content that reflects Atgeir s services and expertise. Manage social media presence, including content creation, posting schedules, and performance analysis. Identify new opportunities for brand positioning and partnership. Track and analyze campaign performance metrics, providing actionable insights and recommendations. Support event planning and participation (webinars, conferences, client events, etc.). Assist in preparing marketing collateral, case studies, and thought leadership pieces. Requirements: MBA in Marketing or related field. 3-4 years of experience in marketing, preferably in the technology or consulting sectors. Strong understanding of digital marketing tools and techniques (SEO, SEM, social media, email marketing, etc.). Excellent communication skills, both written and verbal. Creative thinking and a passion for building impactful campaigns. Ability to work independently and collaboratively in a fast-paced environment.
Role Overview: We’re seeking a dynamic Digital Marketing Executive with 3-4 years of experience to lead and execute our marketing initiatives. You will play a critical role in driving brand awareness, generating qualified leads, and supporting business growth. Key Responsibilities: Develop and execute marketing campaigns across digital, social, and traditional channels. Collaborate with internal teams to create engaging content that reflects Atgeir’s services and expertise. Manage social media presence, including content creation, posting schedules, and performance analysis. Identify new opportunities for brand positioning and partnership. Track and analyze campaign performance metrics, providing actionable insights and recommendations. Support event planning and participation (webinars, conferences, client events, etc.). Assist in preparing marketing collateral, case studies, and thought leadership pieces. Requirements: MBA in Marketing or related field. 3-4 years of experience in marketing, preferably in the technology or consulting sectors. Strong understanding of digital marketing tools and techniques (SEO, SEM, social media, email marketing, etc.). Excellent communication skills, both written and verbal. Creative thinking and a passion for building impactful campaigns. Ability to work independently and collaboratively in a fast-paced environment.
Job Responsibilities: As a WebFOCUS Development Engineer, your core responsibilities will include: Designing, developing, testing, and deploying WebFOCUS reports, dashboards, and visualizations. Creating and managing WebFOCUS procedures (.fex), metadata layers, and reporting cubes. Building and maintaining ReportCaster schedules for automated report distribution. Collaborating with business users and product managers to gather requirements and deliver insights. Performing data analysis, data modeling, and report optimization. Writing clear and effective functional and technical documentation. Participating in solution architecture discussions and offering technical recommendations. Ensuring report performance, access security, and high-quality user experiences. Must Have Skills: 3–7 years of experience in WebFOCUS development Strong command of App Studio, InfoAssist, Developer Studio Excellent verbal and written communication skills Expertise in: WebFOCUS metadata modeling (Master/Access file creation) WebFOCUS report/cube development ReportCaster configuration and scheduling WebFOCUS security design and sign-on integration Proficiency in SQL and working with relational databases Knowledge of PowerBI, Microsoft Fabric and familiarity with Azure Services. Strong understanding of JavaScript, HTML5 and CSS Strong analytical and problem-solving skills Ability to engage directly with end-users for dashboard design and troubleshooting Nice To Have: Familiarity with Azure Services like Azure Data Factory, Azure Synapse Analytics, and Azure Databricks. Qualifications: Bachelor's degree in Computer Science, Information Systems, or a related field
You will be joining Atgeir Solutions, a leading innovator in technology, renowned for its commitment to excellence. As a Technical Lead specializing in Big Data and Cloud technologies, you will have the opportunity for advancement to the role of Technical Architect. Your responsibilities will include leveraging your expertise in Big Data and Cloud technologies to contribute to the design, development, and implementation of complex systems. You will lead and inspire a team of professionals, offering technical guidance and mentorship to foster a collaborative and innovative work environment. In addition, you will be tasked with solving intricate technical challenges and guiding your team in overcoming obstacles in Big Data and Cloud environments. Investing in the growth and development of your team members will be crucial, including identifying training needs, organizing knowledge-sharing sessions, and promoting a culture of continuous learning. Collaboration with stakeholders, such as clients, architects, and other leads, will be essential to understand requirements and align technology strategies with business goals, particularly in the realm of Big Data and Cloud. To qualify for this role, you should hold a Bachelor's or Master's degree in Computer Science, Engineering, or a related field, along with 7-10 years of experience in software development. A proven track record of technical leadership in Big Data and Cloud environments is required. Proficiency in technologies like Hadoop, Spark, GCP, AWS, and Azure is essential, with knowledge of Databricks/Snowflake considered an advantage. Strong communication and interpersonal skills are necessary to convey technical concepts to various stakeholders effectively. Upon successful tenure as a Technical Lead, you will have the opportunity to progress into the role of Technical Architect. This advancement will entail additional responsibilities related to system architecture, design, and strategic technical decision-making, with a continued focus on Big Data and Cloud technologies.,
As a WebFOCUS Development Engineer, your responsibilities will involve designing, developing, testing, and deploying WebFOCUS reports, dashboards, and visualizations. Additionally, you will be tasked with creating and managing WebFOCUS procedures (.fex), metadata layers, and reporting cubes. You will play a crucial role in building and maintaining ReportCaster schedules for automated report distribution. Collaboration with business users and product managers to gather requirements and deliver insights is a key aspect of this position. Data analysis, data modeling, and report optimization are also integral parts of your responsibilities. You will be required to write clear and effective functional and technical documentation. Furthermore, you will participate in solution architecture discussions and offer technical recommendations to enhance processes. Ensuring report performance, access security, and high-quality user experiences will be a vital part of your role. To excel in this position, you must possess at least 3-7 years of experience in WebFOCUS development. A strong command of App Studio, InfoAssist, and Developer Studio is essential. Excellent verbal and written communication skills are crucial for effective interaction with team members and stakeholders. Expertise in WebFOCUS metadata modeling, report/cube development, ReportCaster configuration and scheduling, WebFOCUS security design, sign-on integration, proficiency in SQL, and working with relational databases are all necessary skills. Additionally, knowledge of PowerBI, Microsoft Fabric, and familiarity with Azure Services is highly desirable. A strong understanding of JavaScript, HTML5, CSS, and strong analytical and problem-solving abilities are also important for this role. You should have the ability to engage directly with end-users for dashboard design and troubleshooting. It would be advantageous to have familiarity with Azure Services like Azure Data Factory, Azure Synapse Analytics, and Azure Databricks. To qualify for this position, you should hold a Bachelor's degree in Computer Science, Information Systems, or a related field.,
Experience Required: 5–10 years ( Teaching in an Engineering College in relevant subjects). Industry: IT Consulting & Services Education: Bachelor's or Master's degree in Computer Science, Engineering, or a related field. Location: Pune Role Overview As a Data Engineer at Atgeir Solutions, you will play a pivotal role in designing, developing, and optimizing our data infrastructure and workflows. Your academic expertise will contribute to building robust systems that drive insightful analytics, enhance AI/ML models, and enable data-driven decision-making for our clients. Key Responsibilities Data Architecture and Pipeline Development: Design and implement scalable data architectures, ETL pipelines, and data workflows to process, store, and analyze large datasets effectively. Data Integration: Integrate and consolidate data from various sources, including APIs, databases, and cloud platforms, ensuring data integrity and quality. Data Governance and Security: Implement data governance practices, including data cataloging, lineage tracking, and ensuring compliance with information security standards (ISO 27001 or similar). Collaboration with Teams: Work closely with data scientists, software engineers, and business analysts to align data engineering solutions with business goals and requirements. Optimization: Optimize database performance, query execution, and storage solutions for efficiency and cost-effectiveness. Innovation and Mentorship: Contribute to innovative projects and mentor junior team members. Leverage your academic expertise to foster a culture of continuous learning and development. Required Skills and Qualifications Technical Expertise: Proficiency in programming languages such as Python, Java, or Scala. Hands-on experience with big data technologies (e.g., Hadoop, Spark). Strong knowledge of SQL and NoSQL databases (e.g., PostgreSQL, MongoDB, Cassandra). Familiarity with data warehousing tools like Snowflake, Redshift, or BigQuery. Experience with cloud platforms like Google Cloud Platform (GCP), AWS, or Azure. Data Engineering Fundamentals: Expertise in ETL/ELT processes, data modeling, and data lake architectures. Knowledge of data visualization tools like Tableau, Power BI, or Looker. Educational/Academic Experience: Experience teaching relevant technical subjects (e.g., data engineering, databases, distributed systems, or machine learning) in engineering colleges. Proven ability to explain complex concepts to diverse audiences. Soft Skills: Excellent analytical and problem-solving skills. Strong interpersonal skills and the ability to collaborate effectively in cross-functional teams. Demonstrated ability to balance technical depth with business understanding. Preferred Qualifications Certifications in cloud technologies (e.g., GCP Professional Data Engineer, AWS Certified Data Analytics). Familiarity with AI/ML tools and frameworks (e.g., TensorFlow, PyTorch). Contributions to research papers, technical blogs, or open-source projects.
Location: Pune Experience Required: 5–10 years Industry: IT Consulting & Services Education: Bachelor's or Master's degree in Computer Science, Engineering, or a related field. Background : Teaching in Engineering College in relevant subjects Role Overview As a Data Engineer at Atgeir Solutions, you will play a pivotal role in designing, developing, and optimizing our data infrastructure and workflows. Your academic expertise will contribute to building robust systems that drive insightful analytics, enhance AI/ML models, and enable data-driven decision-making for our clients. Key Responsibilities Data Architecture and Pipeline Development: Design and implement scalable data architectures, ETL pipelines, and data workflows to process, store, and analyze large datasets effectively. Data Integration: Integrate and consolidate data from various sources, including APIs, databases, and cloud platforms, ensuring data integrity and quality. Data Governance and Security: Implement data governance practices, including data cataloging, lineage tracking, and ensuring compliance with information security standards (ISO 27001 or similar). Collaboration with Teams: Work closely with data scientists, software engineers, and business analysts to align data engineering solutions with business goals and requirements. Optimization: Optimize database performance, query execution, and storage solutions for efficiency and cost-effectiveness. Innovation and Mentorship: Contribute to innovative projects and mentor junior team members. Leverage your academic expertise to foster a culture of continuous learning and development. Required Skills And Qualifications Technical Expertise: Proficiency in programming languages such as Python, Java, or Scala. Hands-on experience with big data technologies (e.g., Hadoop, Spark). Strong knowledge of SQL and NoSQL databases (e.g., PostgreSQL, MongoDB, Cassandra). Familiarity with data warehousing tools like Snowflake, Redshift, or BigQuery. Experience with cloud platforms like Google Cloud Platform (GCP), AWS, or Azure. Data Engineering Fundamentals: Expertise in ETL/ELT processes, data modeling, and data lake architectures. Knowledge of data visualization tools like Tableau, Power BI, or Looker. Educational/Academic Experience: Experience teaching relevant technical subjects (e.g., data engineering, databases, distributed systems, or machine learning) in engineering colleges. Proven ability to explain complex concepts to diverse audiences. Soft Skills: Excellent analytical and problem-solving skills. Strong interpersonal skills and the ability to collaborate effectively in cross-functional teams. Demonstrated ability to balance technical depth with business understanding. Preferred Qualifications Certifications in cloud technologies (e.g., GCP Professional Data Engineer, AWS Certified Data Analytics). Familiarity with AI/ML tools and frameworks (e.g., TensorFlow, PyTorch). Contributions to research papers, technical blogs, or open-source projects.
Requirements Hands-on experience with SQL and a good understanding of DW / BI concepts Good understanding of ETL/ELT pipelines Should have worked in a technical capacity in the early stages of career. Understanding Big Data / Cloud technologies Excellent knowledge of Scrum techniques and artifacts (such as the definition of done, user stories, automated testing, and backlog refinement) Hands-on experience with one of the Agile tools like JIRA. Should be familiar with all the project phases as defined in PMBOK. Should have proven skills with stakeholder reporting (e.g. Weekly, Monthly Project Reports) Excellent communication and leadership skills (must) Outstanding organizational skills Responsibilities Manage each project’s scope and timeline Coordinate sprints, retrospective meetings, and daily stand-ups Coach team members in Agile frameworks Facilitate internal communication and effective collaboration Be the point of contact for external communications (e.g. from customers or stakeholders) Work with product owners to handle backlogs and new requests Resolve conflicts and remove obstacles that occur Help teams implement changes effectively Ensure deliverables are up to quality standards at the end of each sprint Guide development teams to higher scrum maturity
ATG_JOB_0059 Advanced Data Analytics Global Delivery Center (Pune) Full Time 10-15 Experience Minimum Experience: 10 Years We are looking for a Big Data / Cloud Architect to become part of Atgeir&aposs Advanced Data Analytics team. The desired candidate is a Professional with proven track record of working on Big Data and Cloud Platforms. Required Skills: -------------- Work closely with customers, understand customer requirements and render those as architectural models that will operate at large scale and high performance, and advise customers on how to run these architectural models on traditional Data Platforms (Hadoop Based) as well as Modern Data Platforms (Cloud Based). Work alongside customers to build data management platforms using Open Source Technologies as well as Cloud Native services Extract best-practice knowledge, reference architectures, and patterns from these engagements for sharing with Advanced Analytics Centre of Excellence (CoE) team at Atgeir. Highly technical and analytical with 10 or more years of ETL and analytics systems development and deployment experience Strong verbal and written communications skills are a must, as well as the ability to work effectively across internal and external organizations and virtual teams. Ability to think understand complex business requirements and render them as prototype systems with quick turnaround time. Implementation and tuning experience in the Big Data Ecosystem, (such as Hadoop, Spark, Presto, Hive), Database (such as Oracle, MySQL, PostgreSQL, MS SQL Server) and Data Warehouses (such as Redshift, Teradata, etc.) Knowledge of foundation infrastructure requirements such as Networking, Storage, and Hardware Optimization with Hands-on experience with one of the clouds (GCP / Azure / AWS) and/or data cloud platforms (Databricks / Snowflake) Proven hands-on experience with at least one programming language among (Python, Java. Go, Scala) Willingness to work hands-on on the projects Ability to lead and guide large teams Architect level certification on one of the clouds will be an added advantage. Show more Show less
We are seeking a Big Data / Cloud Architect to join Atgeir's Advanced Data Analytics team. As a Professional with a strong background in Big Data and Cloud Platforms, you will work closely with customers to understand their requirements and translate them into architectural models that operate at a large scale and high performance. You will provide guidance to customers on running these architectural models on both traditional Data Platforms (Hadoop Based) and Modern Data Platforms (Cloud Based). Your responsibilities will include collaborating with customers to develop data management platforms utilizing Open Source Technologies and Cloud Native services. You will extract best-practice knowledge, reference architectures, and patterns from these engagements to share with the Advanced Analytics Centre of Excellence (CoE) team at Atgeir. To be successful in this role, you should have at least 10 years of experience in ETL and analytics systems development and deployment. Strong verbal and written communication skills are essential, along with the ability to effectively collaborate across internal and external organizations as well as virtual teams. You must possess the capability to comprehend complex business requirements and quickly translate them into prototype systems. Experience in implementation and tuning within the Big Data Ecosystem (e.g., Hadoop, Spark, Presto, Hive), Databases (e.g., Oracle, MySQL, PostgreSQL, MS SQL Server), and Data Warehouses (e.g., Redshift, Teradata) is required. Familiarity with foundational infrastructure requirements such as Networking, Storage, and Hardware Optimization is necessary, along with hands-on experience in at least one of the cloud platforms (GCP / Azure / AWS) and/or data cloud platforms (Databricks / Snowflake). You should have proven hands-on experience with a programming language such as Python, Java, Go, or Scala. A willingness to work hands-on on projects, lead large teams, and guide them effectively is crucial. Possessing an Architect level certification on one of the cloud platforms would be considered an advantage for this role.,
At Atgeir Solutions, we are pioneers in technological innovation. We’re seeking a Technology Lead (Big Data / Cloud) who can drive technical excellence, mentor teams, and collaborate with clients to deliver large-scale solutions. This role offers a growth path to Technical Architect. We’re Hiring | Technology Lead (Big Data / Cloud) Location: Global Delivery Center, Pune Experience: 7–10 Years Job-Type: Hybrid Type: Full-Time Key Responsibilities: Provide technical expertise in Big Data & Cloud (Hadoop, Spark, GCP, AWS, Azure) Lead & mentor a high-performing team Solve complex Big Data & Cloud challenges with innovation Drive team development & continuous learning Collaborate with clients & stakeholders on technical solutions Qualifications: Bachelor’s/Master’s in Computer Science/Engineering 7–10 years in software development & leadership in Big Data/Cloud Proficiency in Hadoop, Spark, GCP, AWS, Azure Advantage: Databricks / Snowflake Strong communication, leadership & mentoring skills Future Growth Path: Transition to Technical Architect , taking ownership of system architecture & strategy. Apply Now / Refer Someone Awesome! https://atgeir.keka.com/careers/jobdetails/51054 #WeAreHiring #BigData #Cloud #TechnologyLead #PuneJobs #AtgeirSolutions
Location: Pune Experience Required: 5–10 years Industry: IT Consulting & Services Education: Bachelor's or Master's degree in Computer Science, Engineering, or a related field. Background : Teaching in Engineering College in relevant subjects Role Overview We are launching a unique opportunity designed specifically for professors, lecturers, and educators who are passionate about transitioning into the IT industry, particularly in the field of Data Engineering . This is the structured transition pathway where you’ll receive hands-on training, mentoring, and real-world project experience to build a solid foundation in data engineering. No prior IT industry experience is required — only a strong analytical mindset, willingness to learn, and teaching/academic experience . Who Should Apply This role is exclusively open to : Professors, lecturers, researchers, or teaching professionals currently or recently employed at an educational institute. Candidates with a strong interest in switching to the IT/Data field. Individuals who are self-motivated , quick learners, and eager to apply their academic skills in a tech environment. As a Data Engineer at Atgeir Solutions, you will play a pivotal role in designing, developing, and optimizing our data infrastructure and workflows. Your academic expertise will contribute to building robust systems that drive insightful analytics, enhance AI/ML models, and enable data-driven decision-making for our clients. Key Responsibilities Data Architecture and Pipeline Development: Design and implement scalable data architectures, ETL pipelines, and data workflows to process, store, and analyze large datasets effectively. Data Integration: Integrate and consolidate data from various sources, including APIs, databases, and cloud platforms, ensuring data integrity and quality. Data Governance and Security: Implement data governance practices, including data cataloging, lineage tracking, and ensuring compliance with information security standards (ISO 27001 or similar). Collaboration with Teams: Work closely with data scientists, software engineers, and business analysts to align data engineering solutions with business goals and requirements. Optimization: Optimize database performance, query execution, and storage solutions for efficiency and cost-effectiveness. Innovation and Mentorship: Contribute to innovative projects and mentor junior team members. Leverage your academic expertise to foster a culture of continuous learning and development. Required Skills and Qualifications Technical Expertise: Proficiency in programming languages such as Python, Java, or Scala. Hands-on experience with big data technologies (e.g., Hadoop, Spark). Strong knowledge of SQL and NoSQL databases (e.g., PostgreSQL, MongoDB, Cassandra). Familiarity with data warehousing tools like Snowflake, Redshift, or BigQuery. Experience with cloud platforms like Google Cloud Platform (GCP), AWS, or Azure. Data Engineering Fundamentals: Expertise in ETL/ELT processes, data modeling, and data lake architectures. Knowledge of data visualization tools like Tableau, Power BI, or Looker. Educational/Academic Experience: Experience teaching relevant technical subjects (e.g., data engineering, databases, distributed systems, or machine learning) in engineering colleges. Proven ability to explain complex concepts to diverse audiences. Soft Skills: Excellent analytical and problem-solving skills. Strong interpersonal skills and the ability to collaborate effectively in cross-functional teams. Demonstrated ability to balance technical depth with business understanding. Preferred Qualifications Certifications in cloud technologies (e.g., GCP Professional Data Engineer, AWS Certified Data Analytics). Familiarity with AI/ML tools and frameworks (e.g., TensorFlow, PyTorch). Contributions to research papers, technical blogs, or open-source projects.
At Atgeir Solutions, we are pioneers in technological innovation, dedicated to achieving excellence in every endeavor. We are currently seeking a dynamic Technical Lead with a specialization in Big Data and Cloud technologies, offering a clear growth trajectory to the role of Technical Architect. Key Responsibilities: Technical Expertise : Leverage in-depth knowledge and hands-on experience in Big Data and Cloud technologies. Actively contribute to the design, development, and implementation of intricate systems. Leadership: Inspire and lead a team of skilled professionals, providing technical guidance and mentorship. Cultivate a collaborative and innovative environment to ensure the success of projects. Problem Solving: Tackle complex technical challenges with a strategic mindset. Provide innovative solutions and guide the team in overcoming obstacles related to Big Data and Cloud environments. Team Development: Invest in the growth and development of team members, identifying training needs, conducting knowledge-sharing sessions, and fostering a culture of continuous learning. Collaboration: Work closely with stakeholders, including clients, to understand requirements and translate them into technical solutions. Collaborate with architects and other leads to align technology strategies with business goals, particularly in the realm of Big Data and Cloud. Qualifications: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field. 7-10 years of experience in software development, with a proven track record of technical leadership in Big Data and Cloud environments. Strong proficiency in relevant technologies, frameworks, and programming languages related to Big Data (e.g., Hadoop, Spark) and Cloud platforms (e.g., GCP, AWS, Azure ). Proficiency with Databricks / Snowflake will be an added advantage. Excellent communication and interpersonal skills, with the ability to convey complex technical concepts to both technical and non-technical stakeholders. Demonstrated ability to lead and mentor teams, fostering a positive and collaborative work environment. Future Growth Path: After successfully serving as a Technical Lead, the individual in this role will have the opportunity to transition into the position of Technical Architect. This progression will involve taking on additional responsibilities related to system architecture, design, and strategic technical decision-making, with a continued emphasis on Big Data and Cloud technologies.
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