Job Summary: We are seeking a highly skilled Lead Data Engineer/Associate Architect to lead the design, implementation, and optimization of scalable data architectures. The ideal candidate will have a deep understanding of data modeling, ETL processes, cloud data solutions, and big data technologies. You will work closely with cross-functional teams to build robust, high-performance data pipelines and infrastructure to enable data-driven decision-making. Experience: 8 - 12 years Work Location: Hyderabad (Hybrid) Mandatory skills: Python, SQL, Snowflake Responsibilities: Design and Develop scalable and resilient data architectures that support business needs, analytics, and AI/ML workloads. Data Pipeline Development: Design and implement robust ETL/ELT processes to ensure efficient data ingestion, transformation, and storage. Big Data & Cloud Solutions: Architect data solutions using cloud platforms like AWS, Azure, or GCP, leveraging services such as Snowflake, Redshift, BigQuery, and Databricks. Database Optimization: Ensure performance tuning, indexing strategies, and query optimization for relational and NoSQL databases. Data Governance & Security: Implement best practices for data quality, metadata management, compliance (GDPR, CCPA), and security. Collaboration & Leadership: Work closely with data engineers, analysts, and business stakeholders to translate business requirements into scalable solutions. Technology Evaluation: Stay updated with emerging trends, assess new tools and frameworks, and drive innovation in data engineering. Required Skills: Education: Bachelor's or Master's degree in Computer Science, Data Engineering, or a related field. Experience: 8 - 12+ years of experience in data engineering Cloud Platforms: Strong expertise in AWS data services. Big Data Technologies: Experience with Hadoop, Spark, Kafka, and related frameworks. Databases: Hands-on experience with SQL, NoSQL, and columnar databases such as PostgreSQL, MongoDB, Cassandra, and Snowflake. Programming: Proficiency in Python, Scala, or Java for data processing and automation. ETL Tools: Experience with tools like Apache Airflow, Talend, DBT, or Informatica. Machine Learning & AI Integration (Preferred): Understanding of how to architect data solutions for AI/ML applications Show more Show less
Job Summary: We are seeking a highly skilled Lead Data Engineer/Associate Architect to lead the design, implementation, and optimization of scalable data architectures. The ideal candidate will have a deep understanding of data modeling, ETL processes, cloud data solutions, and big data technologies. You will work closely with cross-functional teams to build robust, high-performance data pipelines and infrastructure to enable data-driven decision-making. Experience: 8 - 12+ years Work Location: Hyderabad (Hybrid) Mandatory skills: Python, SQL, Snowflake Contract to Hire - 6+ months Responsibilities: Design and Develop scalable and resilient data architectures that support business needs, analytics, and AI/ML workloads. Data Pipeline Development: Design and implement robust ETL/ELT processes to ensure efficient data ingestion, transformation, and storage. Big Data & Cloud Solutions: Architect data solutions using cloud platforms like AWS, Azure, or GCP, leveraging services such as Snowflake, Redshift, BigQuery, and Databricks. Database Optimization: Ensure performance tuning, indexing strategies, and query optimization for relational and NoSQL databases. Data Governance & Security: Implement best practices for data quality, metadata management, compliance (GDPR, CCPA), and security. Collaboration & Leadership: Work closely with data engineers, analysts, and business stakeholders to translate business requirements into scalable solutions. Technology Evaluation: Stay updated with emerging trends, assess new tools and frameworks, and drive innovation in data engineering. Required Skills: Education: Bachelor's or Master's degree in Computer Science, Data Engineering, or a related field. Experience: 8 - 12+ years of experience in data engineering Cloud Platforms: Strong expertise in AWS data services. Big Data Technologies: Experience with Hadoop, Spark, Kafka, and related frameworks. Databases: Hands-on experience with SQL, NoSQL, and columnar databases such as PostgreSQL, MongoDB, Cassandra, and Snowflake. Programming: Proficiency in Python, Scala, or Java for data processing and automation. ETL Tools: Experience with tools like Apache Airflow, Talend, DBT, or Informatica. Machine Learning & AI Integration (Preferred): Understanding of how to architect data solutions for AI/ML applications Show more Show less
Responsibilities Manage end-to-end recruitment process from job requisition through to offer negotiation and on-boarding for various roles within the organization. Build and maintain talent pipelines by proactively sourcing and engaging with passive candidates through online platforms, social media, professional networks, and other channels. Collaborate closely with hiring managers to understand recruitment needs, provide market insights, and ensure alignment on candidate profiles, job descriptions, and hiring timelines. Utilize applicant tracking systems (ATS) and other recruitment tools to track candidate progress, maintain candidate databases, and generate reports on pipeline activity. Stay up-to-date with industry trends, Web3 industry developments, and talent acquisition best practices to help inform recruitment strategies and decision-making. Required Skills Bachelor's degree in Human Resources, Business Administration, or a related field 5+ years of experience in talent acquisition, preferably with experience working in a recruitment agency. Experience in working at Web3 industry and handling non-tech role hiring; Strong knowledge of applicant tracking systems (ATS) and recruitment platforms is an advantage. Strong communication and interpersonal skills, with the ability to effectively engage and build relationships with candidates and stakeholders. Exceptional organizational and coordination abilities to assist in managing recruitment projects and meet deadlines. Skills: organizational skills,communication skills,hiring,coordination skills,applicant tracking systems,talent acquisition,applicant tracking systems (ats),interpersonal skills,recruitment,recruitment platforms Show more Show less
Job Description We are seeking a Tableau Developer with 5 years of experience in designing, developing, and deploying business intelligence solutions. The ideal candidate will have a deep understanding of data visualization principles, experience in data analysis, and a proven track record of delivering impactful dashboards and reports. You will work closely with stakeholders across the organization to turn complex data sets into easy-to-understand visual stories. Key Responsibilities Dashboard Development: Design, develop, and maintain interactive Tableau dashboards, reports, and visualizations that meet business needs and provide actionable insights. Ensure the scalability and performance of Tableau solutions by optimizing queries and visualizations. Data Analysis: Analyze and interpret complex data sets from multiple sources to identify trends, patterns, and insights. Collaborate with data analysts and data engineers to define data requirements, create data models, and prepare datasets for visualization. Stakeholder Collaboration: Work closely with business stakeholders to gather requirements, understand business objectives, and translate them into effective visual solutions. Present findings and recommendations to non-technical audiences, ensuring that insights are accessible and actionable. Create backlogs , stories and manage sprints in Jira. Data Integration: Connect Tableau to various data sources, including databases, cloud services, and APIs, ensuring data accuracy and consistency. Develop and maintain data extraction, transformation, and loading (ETL) processes as needed. Best Practices & Training: Stay up-to-date with Tableau’s latest features and industry trends to continuously improve the organization’s BI capabilities. Provide training and support to end-users to maximize the adoption and usage of Tableau across the organization. Qualifications Education: Bachelor’s degree in Computer Science, Information Systems, Data Science, or a related field. Experience: 5+ years of hands-on experience as a Tableau Developer. Proven experience in creating complex dashboards and visualizations using Tableau Desktop and Tableau Server. Strong understanding of SQL and experience in writing complex queries. Experience with data warehousing concepts, ETL processes, and data modeling. Skills: Proficiency in Tableau Desktop, Tableau Server, and Tableau Prep. Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy. Familiarity with other BI tools (e.g., Power BI, QlikView) is a plus. Excellent communication skills, with the ability to convey technical information to non-technical stakeholders. Experience with Agile project management tools like Jira, gathering requirements and creating stories. Preferred Qualifications Experience with programming languages like Python or R for advanced data manipulation. Knowledge of cloud platforms (e.g., AWS, Azure) and experience with cloud-based data sources. Tableau certification (e.g., Tableau Desktop Specialist, Tableau Server Certified Associate) is a plus. Skills: data visualization,data analysis,jira,azure,aws,tableau desktop,agile project management,tableau,sql,r,tableau prep,etl processes,tableau server,python Show more Show less
Job Summary: We are seeking a highly skilled Lead Data Engineer/Associate Architect to lead the design, implementation, and optimization of scalable data architectures. The ideal candidate will have a deep understanding of data modeling, ETL processes, cloud data solutions, and big data technologies. You will work closely with cross-functional teams to build robust, high-performance data pipelines and infrastructure to enable data-driven decision-making. Experience: 7 - 12 years Work Location: Hyderabad (Hybrid) / Remote Mandatory skills: AWS, Python, SQL, Airflow, DBT Must have done 1 or 2 projects in Clinical Domain/Clinical Industry. Responsibilities: Design and Develop scalable and resilient data architectures that support business needs, analytics, and AI/ML workloads. Data Pipeline Development: Design and implement robust ETL/ELT processes to ensure efficient data ingestion, transformation, and storage. Big Data & Cloud Solutions: Architect data solutions using cloud platforms like AWS, Azure, or GCP, leveraging services such as Snowflake, Redshift, BigQuery, and Databricks. Database Optimization: Ensure performance tuning, indexing strategies, and query optimization for relational and NoSQL databases. Data Governance & Security: Implement best practices for data quality, metadata management, compliance (GDPR, CCPA), and security. Collaboration & Leadership: Work closely with data engineers, analysts, and business stakeholders to translate business requirements into scalable solutions. Technology Evaluation: Stay updated with emerging trends, assess new tools and frameworks, and drive innovation in data engineering. Required Skills: Education: Bachelor's or Master's degree in Computer Science, Data Engineering, or a related field. Experience: 7 - 12+ years of experience in data engineering Cloud Platforms: Strong expertise in AWS data services. Databases: Hands-on experience with SQL, NoSQL, and columnar databases such as PostgreSQL, MongoDB, Cassandra, and Snowflake. Programming: Proficiency in Python, Scala, or Java for data processing and automation. ETL Tools: Experience with tools like Apache Airflow, Talend, DBT, or Informatica. Machine Learning & AI Integration (Preferred): Understanding of how to architect data solutions for AI/ML applications Show more Show less
Job Summary We are seeking a highly skilled Lead Data Engineer/Associate Architect to lead the design, implementation, and optimization of scalable data architectures. The ideal candidate will have a deep understanding of data modeling, ETL processes, cloud data solutions, and big data technologies. You will work closely with cross-functional teams to build robust, high-performance data pipelines and infrastructure to enable data-driven decision-making. Experience: 7 - 12 years Work Location: Hyderabad (Hybrid) / Remote Mandatory skills: AWS, Python, SQL, Airflow, DBT Must have done 1 or 2 projects in Clinical Domain/Clinical Industry. Responsibilities Design and Develop scalable and resilient data architectures that support business needs, analytics, and AI/ML workloads. Data Pipeline Development: Design and implement robust ETL/ELT processes to ensure efficient data ingestion, transformation, and storage. Big Data & Cloud Solutions: Architect data solutions using cloud platforms like AWS, Azure, or GCP, leveraging services such as Snowflake, Redshift, BigQuery, and Databricks. Database Optimization: Ensure performance tuning, indexing strategies, and query optimization for relational and NoSQL databases. Data Governance & Security: Implement best practices for data quality, metadata management, compliance (GDPR, CCPA), and security. Collaboration & Leadership: Work closely with data engineers, analysts, and business stakeholders to translate business requirements into scalable solutions. Technology Evaluation: Stay updated with emerging trends, assess new tools and frameworks, and drive innovation in data engineering. Required Skills Education: Bachelor's or Master's degree in Computer Science, Data Engineering, or a related field. Experience: 7 - 12+ years of experience in data engineering Cloud Platforms: Strong expertise in AWS data services. Databases: Hands-on experience with SQL, NoSQL, and columnar databases such as PostgreSQL, MongoDB, Cassandra, and Snowflake. Programming: Proficiency in Python, Scala, or Java for data processing and automation. ETL Tools: Experience with tools like Apache Airflow, Talend, DBT, or Informatica. Machine Learning & AI Integration (Preferred): Understanding of how to architect data solutions for AI/ML applications Skills: aws,talend,python,snowflake,dbt,databricks,mongodb,postgresql,airflow,data engineering,etl,gcp,bigquery,sql,redshift,cassandra,azure,informatica Show more Show less
Job Title: Machine Learning Specialist – Clinical Supply Chain Location: HYDERABAD Department: Data Science / Clinical Operations / Supply Chain About The Role We are seeking a highly skilled and motivated Machine Learning Specialist with a strong background in data science and a deep understanding of clinical supply chain operations . This role will be instrumental in developing predictive models, optimizing logistics, and driving data-driven decision-making across our clinical trial supply chain. Key Responsibilities Design, develop, and deploy machine learning models to forecast clinical supply needs, optimize inventory, and reduce waste. Collaborate with clinical operations, supply chain, and IT teams to identify data sources and integrate ML solutions into existing workflows. Analyze large datasets from clinical trials, logistics systems, and external sources to uncover trends and actionable insights. Develop tools and dashboards to support real-time decision-making and scenario planning. Ensure model performance, scalability, and compliance with regulatory standards (e.g., GxP, 21 CFR Part 11). Stay current with advancements in ML/AI and apply best practices to clinical supply chain challenges. Qualifications Master’s or PhD in Computer Science, Data Science, Engineering, or a related field. 3+ years of experience in machine learning, data science, or AI, preferably in a healthcare or life sciences setting. Hands-on experience with clinical supply chain processes, including demand forecasting, IRT systems, and logistics planning. Proficiency in Python, R, SQL, and ML frameworks (e.g., scikit-learn, TensorFlow, PyTorch). Strong understanding of statistical modeling, time series forecasting, and optimization techniques. Excellent communication skills and ability to work cross-functionally in a fast-paced environment. Preferred Experience with clinical trial data (e.g., EDC, CTMS, IRT). Familiarity with regulatory requirements in clinical research. Knowledge of cloud platforms (AWS, Azure, GCP) and MLOps practices. Skills: sql,r,statistical modeling,python,ml frameworks,machine learning,time series forecasting,tensorflow,clinical supply chain,optimization techniques,data science
We are seeking a Tableau Sr. Developer with 5 years of experience in designing, developing, and deploying business intelligence solutions. The ideal candidate will have a deep understanding of data visualization principles, experience in data analysis, and a proven track record of delivering impactful dashboards and reports. You will work closely with stakeholders across the organization to turn complex data sets into easy-to-understand visual stories. Key Responsibilities: Dashboard Development: Design, develop, and maintain interactive Tableau dashboards, reports, and visualizations that meet business needs and provide actionable insights. Ensure the scalability and performance of Tableau solutions by optimizing queries and visualizations. Data Analysis: Analyze and interpret complex data sets from multiple sources to identify trends, patterns, and insights. Collaborate with data analysts and data engineers to define data requirements, create data models, and prepare datasets for visualization. Stakeholder Collaboration: Work closely with business stakeholders to gather requirements, understand business objectives, and translate them into effective visual solutions. Present findings and recommendations to non-technical audiences, ensuring that insights are accessible and actionable. Create backlogs , stories and manage sprints in Jira. Data Integration: Connect Tableau to various data sources, including databases, cloud services, and APIs, ensuring data accuracy and consistency. Develop and maintain data extraction, transformation, and loading (ETL) processes as needed. Best Practices & Training: Stay up-to-date with Tableau’s latest features and industry trends to continuously improve the organization’s BI capabilities. Provide training and support to end-users to maximize the adoption and usage of Tableau across the organization. Qualifications: Education: Bachelor’s degree in Computer Science, Information Systems, Data Science, or a related field. Experience: 5+ years of hands-on experience as a Tableau Developer. Proven experience in creating complex dashboards and visualizations using Tableau Desktop and Tableau Server. Strong understanding of SQL and experience in writing complex queries. Experience with data warehousing concepts, ETL processes, and data modeling. Skills: Proficiency in Tableau Desktop, Tableau Server, and Tableau Prep. Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy. Familiarity with other BI tools (e.g., Power BI, QlikView) is a plus. Excellent communication skills, with the ability to convey technical information to non-technical stakeholders. Experience with Agile project management tools like Jira, gathering requirements and creating stories. Preferred Qualifications: Experience with programming languages like Python or R for advanced data manipulation. Knowledge of cloud platforms (e.g., AWS, Azure) and experience with cloud-based data sources. Tableau certification (e.g., Tableau Desktop Specialist, Tableau Server Certified Associate) is a plus.
Job Summary We are seeking a highly skilled Sr. Data Engineer to understand the design, implementation, and optimization of scalable data architectures. The ideal candidate will have a deep understanding of data modeling, ETL processes, cloud data solutions, and big data technologies. You will work closely with cross-functional teams to build robust, high-performance data pipelines and infrastructure to enable data-driven decision-making. Experience: 4 - 7 years Work Location: Hyderabad (Hybrid) Mandatory skills: AWS, Python, SQL, Airflow, DBT Responsibilities Data Pipeline Development: Design and implement robust ETL/ELT processes to ensure efficient data ingestion, transformation, and storage. Big Data & Cloud Solutions: Architect data solutions using cloud platforms like AWS, Azure, or GCP, leveraging services such as Snowflake, Redshift, BigQuery, and Databricks. Database Optimization: Ensure performance tuning, indexing strategies, and query optimization for relational and NoSQL databases. Data Governance & Security: Implement best practices for data quality, metadata management, compliance (GDPR, CCPA), and security. Collaboration & Leadership: Work closely with data engineers, analysts, and business stakeholders to translate business requirements into scalable solutions. Technology Evaluation: Stay updated with emerging trends, assess new tools and frameworks, and drive innovation in data engineering. Required Skills Education: Bachelor's or Master's degree in Computer Science, Data Engineering, or a related field. Experience: 4 - 7years of experience in data engineering Cloud Platforms: Strong expertise in AWS data services. Big Data Technologies: Experience with Hadoop, Spark, Kafka, and related frameworks. Databases: Hands-on experience with SQL, NoSQL, and columnar databases such as PostgreSQL, MongoDB, Cassandra, and Snowflake. Programming: Proficiency in Python, Scala, or Java for data processing and automation. ETL Tools: Experience with tools like Apache Airflow, Talend, DBT, or Informatica. Machine Learning & AI Integration (Preferred): Understanding of how to architect data solutions for AI/ML application Skills: airflow,kafka,mongodb,cassandra,talend,snowflake,dbt,postgresql,java,python,data engineering,spark,sql,scala,hadoop,aws,informatica
We are seeking a highly skilled Lead Data Engineer/Associate Architect to lead the design, implementation, and optimization of scalable data architectures. The ideal candidate will have a deep understanding of data modeling, ETL processes, cloud data solutions, and big data technologies. You will work closely with cross-functional teams to build robust, high-performance data pipelines and infrastructure to enable data-driven decision-making. Experience: 7 - 12 years Work Location: Hyderabad (Hybrid) / Remote Mandatory skills: Python, SQL, Snowflake Responsibilities Design and Develop scalable and resilient data architectures that support business needs, analytics, and AI/ML workloads. Data Pipeline Development: Design and implement robust ETL/ELT processes to ensure efficient data ingestion, transformation, and storage. Big Data & Cloud Solutions: Architect data solutions using cloud platforms like AWS, Azure, or GCP, leveraging services such as Snowflake, Redshift, BigQuery, and Databricks. Database Optimization: Ensure performance tuning, indexing strategies, and query optimization for relational and NoSQL databases. Data Governance & Security: Implement best practices for data quality, metadata management, compliance (GDPR, CCPA), and security. Collaboration & Leadership: Work closely with data engineers, analysts, and business stakeholders to translate business requirements into scalable solutions. Technology Evaluation: Stay updated with emerging trends, assess new tools and frameworks, and drive innovation in data engineering. Required Skills Education: Bachelor's or Master's degree in Computer Science, Data Engineering, or a related field. Experience: 7 - 12+ years of experience in data engineering Cloud Platforms: Strong expertise in AWS/Azure data services. Databases: Hands-on experience with SQL, NoSQL, and columnar databases such as PostgreSQL, MongoDB, Cassandra, and Snowflake. Programming: Proficiency in Python, Scala, or Java for data processing and automation. ETL Tools: Experience with tools like Apache Airflow, Talend, DBT, or Informatica. Machine Learning & AI Integration (Preferred): Understanding of how to architect data solutions for AI/ML applications Skills: scala,etl,java,mongodb,sql,python,talend,gcp,data engineering,elt,azure,cloud,snowflake,postgresql,aws,apache airflow,cassandra,informatica,dbt
Designation - PowerBI Lead / Sr. Dev Work Location - Hyderabad (Hybrid) Experience - 5 to 10 years Responsibilities Understand business requirements and translate them into technical specifications for Power BI reports and dashboards. Design, develop, and publish interactive dashboards using Power BI (Power BI Desktop & Power BI Service). Integrate data from various sources including SQL Server, Excel, SharePoint, and cloud-based sources (Azure, etc.). Build and optimize data models (star/snowflake schema) and DAX queries for performance and usability. Develop and manage ETL processes using Power Query, Dataflows, or Azure Data Factory. Implement row-level security (RLS) and access controls within Power BI reports. Perform data validation and ensure accuracy of reports and dashboards. Collaborate with stakeholders, business analysts, and data engineers to ensure report alignment with business goals. Monitor Power BI service performance and schedule dataset refreshes. Stay up-to-date with Power BI updates, best practices, and industry trends. Required Skills & Qualifications Bachelor’s degree in Computer Science, Information Systems, or a related field. 5+ years of hands-on experience in Power BI report and dashboard development. Proficiency in DAX, Power Query (M language), and data modeling. Strong SQL skills – ability to write complex queries and optimize them. Experience in integrating Power BI with cloud data sources (e.g., Azure SQL, Data Lake). Familiarity with Power BI Gateway, Power BI Report Server (optional), and Workspace Management. Solid understanding of data warehousing concepts and relational databases. Strong analytical and problem-solving skills. Excellent communication and stakeholder management abilities. Preferred Qualifications Microsoft Power BI cerrtifications. Exposure to other BI tools like Tableau or QlikView (optional). Experience working in Agile or Scrum teams. Skills: dax,stakeholder management,power query,azure,cloud,data modeling,etl,sql,analytical skills,communication,problem-solving,data warehousing,power bi
As a Machine Learning Specialist in Clinical Supply Chain, you will play a crucial role in leveraging your expertise in data science to enhance the efficiency of our clinical trial supply chain. Your responsibilities will include designing, developing, and implementing machine learning models to predict clinical supply needs, optimize inventory levels, and minimize wastage. By collaborating with various teams, such as clinical operations, supply chain, and IT, you will identify relevant data sources and seamlessly integrate machine learning solutions into existing workflows. Your key duties will involve analyzing extensive datasets from clinical trials, logistics systems, and external sources to identify trends and extract valuable insights. You will be tasked with creating tools and dashboards that facilitate real-time decision-making and scenario planning. It will also be your responsibility to ensure that the developed models adhere to performance standards, scalability requirements, and regulatory guidelines such as GxP and 21 CFR Part 11. Staying abreast of the latest advancements in machine learning and artificial intelligence, you will apply industry best practices to address the challenges faced within the clinical supply chain domain. To excel in this role, you should hold a Master's or PhD degree in Computer Science, Data Science, Engineering, or a related field and possess a minimum of 3 years of experience in machine learning, data science, or AI, preferably within healthcare or life sciences. Your practical knowledge of clinical supply chain processes, including demand forecasting, IRT systems, and logistics planning, will be invaluable. Proficiency in programming languages such as Python, R, SQL, and familiarity with ML frameworks like scikit-learn, TensorFlow, and PyTorch are essential. Additionally, your expertise in statistical modeling, time series forecasting, and optimization techniques will be crucial to your success. Effective communication skills and the ability to collaborate across departments in a dynamic environment are essential qualities for this role. Preferred qualifications include experience with clinical trial data (e.g., EDC, CTMS, IRT), knowledge of regulatory requirements in clinical research, and familiarity with cloud platforms such as AWS, Azure, and GCP, along with MLOps practices. Your technical skills in SQL, R, statistical modeling, Python, ML frameworks, time series forecasting, TensorFlow, and your deep understanding of clinical supply chain operations will be instrumental in driving data-driven decision-making and optimizing logistics within our clinical trial supply chain.,
As a PowerBI Lead/Senior Developer at our Hyderabad office (Hybrid), you will play a key role in designing, developing, and publishing interactive dashboards using Power BI. With 5 to 10 years of experience, you will be responsible for understanding business requirements and translating them into technical specifications for Power BI reports and dashboards. Your expertise in integrating data from various sources, building and optimizing data models, and developing ETL processes will be crucial for success. Your responsibilities will include collaborating with stakeholders, business analysts, and data engineers to ensure report alignment with business goals. Additionally, you will implement row-level security and access controls within Power BI reports, perform data validation, and monitor Power BI service performance. Staying up-to-date with Power BI updates, best practices, and industry trends will be essential to deliver high-quality solutions. To excel in this role, you should have a Bachelor's degree in Computer Science, Information Systems, or a related field, along with 5+ years of hands-on experience in Power BI report and dashboard development. Proficiency in DAX, Power Query, and data modeling, as well as strong SQL skills, are required. Experience in integrating Power BI with cloud data sources and familiarity with Power BI Gateway, Power BI Report Server, and Workspace Management will be beneficial. Strong analytical and problem-solving skills, excellent communication, and stakeholder management abilities are essential for effective collaboration. Preferred qualifications include Microsoft Power BI certifications, exposure to other BI tools, and experience working in Agile or Scrum teams. Join us to leverage your skills in DAX, stakeholder management, Azure, ETL, SQL, data modeling, and more to drive impactful insights and solutions through Power BI.,
As a Lead Data Engineer with 7-12 years of experience, you will be an integral part of our team, contributing significantly to the design, development, and maintenance of our data infrastructure. Your primary responsibilities will revolve around creating and managing robust data architectures, ETL processes, data warehouses, and utilizing big data and cloud technologies to support our business intelligence and analytics needs. You will lead the design and implementation of data architectures that facilitate data warehousing, integration, and analytics platforms. Developing and optimizing ETL pipelines will be a key aspect of your role, ensuring efficient processing of large datasets and implementing data transformation and cleansing processes to maintain data quality. Your expertise will be crucial in building and maintaining scalable data warehouse solutions using technologies such as Snowflake, Databricks, or Redshift. Additionally, you will leverage AWS Glue and PySpark for large-scale data processing, manage data pipelines with Apache Airflow, and utilize cloud platforms like AWS, Azure, and GCP for data storage, processing, and analytics. Establishing data governance and security best practices, ensuring data integrity, accuracy, and availability, and implementing monitoring and alerting systems are vital components of your responsibilities. Collaborating closely with stakeholders, mentoring junior engineers, and leading data-related projects will also be part of your role. Furthermore, your technical skills should include proficiency in ETL tools like Informatica Power Center, Python, PySpark, SQL, RDBMS platforms, and data warehousing concepts. Soft skills such as excellent communication, leadership, problem-solving, and the ability to manage multiple projects effectively will be essential for success in this role. Preferred qualifications include experience with machine learning workflows, certification in relevant data engineering technologies, and familiarity with Agile methodologies and DevOps practices. Location: Hyderabad Employment Type: Full-time,
Job Description Role - BI Architect Work Location - Hyderabad (Remote) Employment Mode - Part Time (25% i.e. 10 hours per week) We are looking for an experienced BI (Business Intelligence) Architect with 10+ years of expertise in designing, developing, and implementing cutting-edge BI solutions. The ideal candidate will have a strong technical background, coupled with strategic insight, to architect scalable and reliable BI platforms that drive data-driven decision-making across the organization. You will work closely with stakeholders, data teams, and developers to deliver high-performance BI architectures. Key Responsibilities Architect and design enterprise-level Business Intelligence solutions, ensuring scalability, performance, and reliability. Lead the design, implementation, and optimization of data warehouses, data lakes, and BI platforms. Develop BI architecture roadmaps, aligning with business strategies and evolving data needs. Collaborate with business stakeholders to gather requirements, define key metrics, and translate them into actionable BI strategies. Lead the end-to-end delivery of BI projects, including data integration, ETL processes, and report/dashboard development. Implement best practices for data modeling, ETL processes, and data visualization. Oversee the development of advanced data analytics, ensuring robust data governance and security. Ensure data consistency and accuracy across all BI platforms and reporting tools. Evaluate and integrate BI tools, technologies, and platforms such as Power BI, Tableau, Qlik, Looker, or similar. Provide technical leadership to the BI development team and mentor junior team members. Work closely with data engineers and analysts to optimize database performance, ETL pipelines, and report generation. Stay updated on BI trends, tools, and technologies, recommending improvements to current architectures and processes. Skills & Qualifications 10+ years of experience in Business Intelligence and Data Analytics, with proven experience as a BI Architect. Strong understanding of data warehousing concepts, data modeling, and data governance. Expertise in BI tools such as Power BI, Tableau, Qlik, Looker, or similar. Experience with ETL processes, data integration, and data transformation tools (e.g., Informatica, Talend, SSIS). Proficiency in database technologies like SQL, NoSQL, and cloud-based data platforms (AWS, Azure, GCP). Hands-on experience in designing and implementing data warehouses, data marts, and OLAP cubes. Familiarity with data governance, security best practices, and compliance regulations (GDPR, HIPAA, etc.). Experience with cloud-based BI and data storage solutions, and knowledge of data pipelines on cloud platforms. Strong analytical, problem-solving, and leadership skills. Excellent communication skills with the ability to interact with both technical and non-technical stakeholders. Education Bachelor’s or Master’s degree in Computer Science, Information Systems, Data Science, or a related field. Preferred Certifications BI or data-related certifications (e.g., Power BI, Tableau, AWS, Azure certifications) are a plus. Skills: business intelligence,etl,power bi,tableau
Job Description: Role - BI Architect Work Location - Hyderabad (Remote) Employment Mode - Part Time (25% i.e. 10 hours per week) We are looking for an experienced BI (Business Intelligence) Architect with 10+ years of expertise in designing, developing, and implementing cutting-edge BI solutions. The ideal candidate will have a strong technical background, coupled with strategic insight, to architect scalable and reliable BI platforms that drive data-driven decision-making across the organization. You will work closely with stakeholders, data teams, and developers to deliver high-performance BI architectures. Key Responsibilities: Architect and design enterprise-level Business Intelligence solutions, ensuring scalability, performance, and reliability. Lead the design, implementation, and optimization of data warehouses, data lakes, and BI platforms. Develop BI architecture roadmaps, aligning with business strategies and evolving data needs. Collaborate with business stakeholders to gather requirements, define key metrics, and translate them into actionable BI strategies. Lead the end-to-end delivery of BI projects, including data integration, ETL processes, and report/dashboard development. Implement best practices for data modeling, ETL processes, and data visualization. Oversee the development of advanced data analytics, ensuring robust data governance and security. Ensure data consistency and accuracy across all BI platforms and reporting tools. Evaluate and integrate BI tools, technologies, and platforms such as Power BI, Tableau, Qlik, Looker, or similar. Provide technical leadership to the BI development team and mentor junior team members. Work closely with data engineers and analysts to optimize database performance, ETL pipelines, and report generation. Stay updated on BI trends, tools, and technologies, recommending improvements to current architectures and processes. Skills & Qualifications: 10+ years of experience in Business Intelligence and Data Analytics, with proven experience as a BI Architect. Strong understanding of data warehousing concepts, data modeling, and data governance. Expertise in BI tools such as Power BI, Tableau, Qlik, Looker, or similar. Experience with ETL processes, data integration, and data transformation tools (e.g., Informatica, Talend, SSIS). Proficiency in database technologies like SQL, NoSQL, and cloud-based data platforms (AWS, Azure, GCP). Hands-on experience in designing and implementing data warehouses, data marts, and OLAP cubes. Familiarity with data governance, security best practices, and compliance regulations (GDPR, HIPAA, etc.). Experience with cloud-based BI and data storage solutions, and knowledge of data pipelines on cloud platforms. Strong analytical, problem-solving, and leadership skills. Excellent communication skills with the ability to interact with both technical and non-technical stakeholders. Education: Bachelor’s or Master’s degree in Computer Science, Information Systems, Data Science, or a related field. Preferred Certifications: BI or data-related certifications (e.g., Power BI, Tableau, AWS, Azure certifications) are a plus.
Position: HR Executive Experience: 1–2 years Location: Hyderabad, Q City, Financial District Employment Type: Full-time - Hybrid About The Role We are looking for a detail-oriented and proactive HR Operations Executive to support day-to-day HR processes and ensure smooth functioning of employee lifecycle activities. The ideal candidate will have 1–2 years of hands-on experience in HR operations, with a strong understanding of HR processes, compliance, and employee support. Key Responsibilities Assist in managing end-to-end employee lifecycle processes (onboarding, confirmations, transfers, exits). Maintain and update employee records in HRMS system (Zoho). Support payroll preparation by providing necessary data inputs (attendance, leave, new joiners, exits). Ensure compliance with statutory requirements (PF, ESI, gratuity, professional tax, etc.). Coordinate and manage employee onboarding formalities including offer release, documentation, induction, and background verification. Assist in preparation of HR letters (offer, appointment, confirmation, experience, etc.). Handle queries related to HR policies, attendance, and leave management. Support HR in policy implementation, audits, and reporting. Collaborate with cross-functional teams to ensure smooth HR operations. Contribute to employee engagement activities and welfare initiatives. Required Skills & Qualifications Bachelor’s/Master’s degree in Human Resources, Business Administration, or related field. 1–2 years of experience in HR Operations/Generalist roles. Knowledge of HR processes, payroll support, and statutory compliance. Good working knowledge of MS Office (Excel, Word, PowerPoint). Hands-on experience with HRIS/HRMS tools will be an added advantage. Strong communication and interpersonal skills. Attention to detail, organizational skills, and ability to maintain confidentiality. Why Join Us? Opportunity to gain end-to-end exposure in HR operations. Be part of a dynamic and growing team where your ideas and initiatives are valued. Exposure to HR best practices and process improvements. Skills: hr operations,onboarding,hrms
As a Talent Acquisition Specialist, you will be responsible for managing the end-to-end recruitment process for various roles within the organization. This includes handling job requisitions, conducting offer negotiations, and facilitating the onboarding process. You will play a crucial role in building and maintaining talent pipelines by proactively sourcing and engaging with passive candidates through various channels such as online platforms, social media, and professional networks. Collaboration with hiring managers is key in this role as you will work closely with them to understand recruitment needs, provide market insights, and ensure alignment on candidate profiles, job descriptions, and hiring timelines. Your expertise in utilizing applicant tracking systems (ATS) and other recruitment tools will be essential in tracking candidate progress, maintaining databases, and generating reports on pipeline activities. To excel in this position, you are required to have a Bachelor's degree in Human Resources, Business Administration, or a related field along with at least 5 years of experience in talent acquisition, preferably with exposure to working in a recruitment agency. Experience in the Web3 industry and handling non-tech role hiring is highly beneficial. Proficiency in applicant tracking systems and recruitment platforms will give you an edge in this role. Your strong communication and interpersonal skills will be instrumental in effectively engaging and building relationships with candidates and stakeholders. Exceptional organizational and coordination abilities are also essential to assist in managing recruitment projects and meeting deadlines successfully. In summary, this role requires a strategic thinker with a passion for talent acquisition, strong organizational and communication skills, and the ability to stay updated with industry trends and best practices. If you are looking for a dynamic opportunity to make an impact in recruitment within the Web3 industry, this position is perfect for you.,
Designation - Agentic AI Developer Work Location - Hyderabad (Hybrid) Experience - 0 to 2 years Key Responsibilities Agentic AI Development: Build, customize, and deploy AI agents using frameworks like LangChain, AutoGen, CrewAI, and Haystack. Enable agent reasoning, planning, and tool-use for complex tasks. RAG Pipeline Design: Implement and optimize RAG pipelines for enterprise-scale knowledge retrieval. Work with vector databases (Pinecone, FAISS, Weaviate, Milvus) to manage embeddings and context injection. Fine-tune retrieval strategies, chunking logic, and metadata tagging for high-quality responses. Prompt Engineering & LLM Integration: Develop structured prompts, context-aware query chains, and workflows for LLMs (OpenAI, Anthropic, Llama, Mistral, etc.). Integrate RAG-enabled LLMs into APIs, chatbots, and enterprise applications. Automation & Platform Development: Create orchestration pipelines for AI agents and RAG workflows. Contribute to building internal AI platforms, dashboards, and monitoring systems. Experimentation & Research: Stay current with new developments in RAG, multi-agent systems, and reasoning models. Rapidly prototype AI solutions to demonstrate value to business teams. Required Skills Programming: Strong in Python; familiarity with JavaScript/TypeScript or Go is a plus. LLM Frameworks: Experience or coursework in LangChain, LlamaIndex, Haystack, or AutoGen. RAG Expertise: Understanding of RAG concepts, document indexing, embeddings, retrieval strategies, and vector DBs. Databases: PostgreSQL/MySQL for structured data; Pinecone, Weaviate, Milvus, FAISS for vectors. APIs & Cloud: Knowledge of REST/GraphQL APIs and cloud services (AWS/GCP/Azure). Version Control: Git, GitHub/GitLab, and CI/CD pipelines. Preferred Skills (Good-to-Have) Familiarity with LangGraph and other agent orchestration libraries. Exposure to multi-agent collaboration patterns and reasoning models (OpenAI o1, DeepSeek-R1). Knowledge of document preprocessing, semantic search, and hybrid retrieval. Understanding of MLOps for deploying and monitoring AI pipelines. Experience with Docker, Kubernetes, and distributed systems. Qualifications Bachelor’s degree in Computer Science, Engineering, AI/ML, or related field. 0–3 years of relevant experience (internships, hackathons, or open-source contributions preferred). Strong analytical skills, eagerness to experiment, and enthusiasm to learn cutting-edge AI tools. Skills: agentic ai,python,,rag,,promt engineering,,vector database,,sql,