Databricks Jobs in Hyderabad

Job Title: Senior Data Engineer Location: Hyderabad, Telangana, India Job Type: Full-Time | Permanent Experience Required: 6+ Years Open Positions: 2 About the Role: We are seeking a highly skilled and experienced Data Engineer to join our team in Hyderabad. As a key member of our data engineering unit, you will be responsible for designing and optimizing end-to-end data pipelines using Python, PySpark, and Databricks. This role requires strong technical expertise, a passion for solving complex data challenges, and the ability to lead best practices within the Supply Chain data domain. Key Responsibilities: Develop and maintain scalable data pipelines using Python, PySpark, and Databricks for complex data transformation within Supply Chain operations. Implement advanced data engineering solutions that support real-time and batch data processing for analytics and business intelligence. Analyze, optimize, and refactor existing data workflows to improve performance and reliability. Collaborate with cross-functional teams to understand data requirements and translate them into robust technical solutions. Take ownership of projects and deliver high-quality outcomes with minimal supervision. Provide leadership and guidance on coding standards, design patterns, and data engineering best practices. Clearly communicate technical ideas and solutions to both technical and non-technical stakeholders. Required Skills & Qualifications: 6+ years of hands-on experience in data engineering. Proficient in Python, PySpark, and Databricks for building and maintaining data pipelines. Strong problem-solving skills with a proven ability to create innovative solutions for complex data challenges. Excellent communication and interpersonal skills; able to work effectively with cross-functional teams. Experience leading and mentoring team members on technical best practices and architecture decisions. Ability to work independently, manage priorities, and drive projects to completion with minimal oversight. Perks & Benefits: Competitive compensation package Exposure to cutting-edge technologies in cloud-based data engineering Opportunity to work on large-scale Supply Chain data solutions Collaborative, innovation-driven work environment Career growth and mentorship opportunities

Lead Data Scientist Media Mix Modeling (MMM) Location: Hyderabad, Telangana Work Type: On-site, Full-time Experience: 6+ Years Company: Blend About Blend: Blend is a premier AI services provider committed to co-creating meaningful impact through data science, AI, and technology. We harness world-class talent and data-driven strategies to unlock innovation and value for our clients. Our mission is to empower bold visions by seamlessly aligning human expertise with artificial intelligence. Job Summary: We are seeking an experienced Lead Data Scientist with deep expertise in Media Mix Modeling (MMM) to optimize marketing spend and drive strategic insights across multiple media channels. You will leverage statistical modeling and data analytics to provide actionable recommendations that improve marketing effectiveness and business outcomes. Key Responsibilities: Design, develop, and implement Media Mix Models to analyze and optimize marketing spend across channels such as TV, digital, radio, and print. Analyze historical marketing data to measure channel effectiveness and guide budget allocation decisions. Collaborate closely with marketing, business, and analytics teams to translate business goals into quantitative models and insights. Build predictive models to forecast the impact of marketing campaigns and recommend budget reallocation. Present complex analytical findings clearly and effectively to technical and non-technical stakeholders. Conduct detailed analyses of marketing campaigns and customer behavior to uncover trends, opportunities, and optimization areas. Ensure accuracy, consistency, and integrity in all data analyses and model outputs. Stay updated with the latest advances in MMM, marketing analytics, and data science methodologies. Work with cross-functional teams including Data Engineering and BI to ensure smooth data integration and workflow. Document methodologies, models, and analysis processes thoroughly. Qualifications: Bachelor s or Master s degree in Data Science, Statistics, Economics, Mathematics, or a related discipline. Minimum 6 years experience in Media Mix Modeling (MMM) or marketing analytics roles. Strong expertise in statistical modeling methods, including regression analysis and time-series forecasting. Proficiency in programming languages and tools such as Python, R, SQL, and visualization platforms like Tableau or Power BI. Familiarity with marketing data sources such as Nielsen, IRI, social media analytics, and CRM datasets. Excellent analytical skills with the ability to translate data into actionable business insights. Strong communication skills for effective stakeholder engagement across technical and non-technical audiences. Experience working in fast-paced, data-driven environments. Knowledge of machine learning techniques and frameworks is a plus. Preferred Qualifications: Experience handling large datasets and working with cloud platforms like AWS, Azure, or Google Cloud. Understanding of marketing attribution, customer segmentation, and lifetime value (LTV) models. Experience conducting A/B testing and controlled experiments. Background in consulting or marketing agency settings is advantageous. Competitive Salary: Reflecting your skills and impact. Dynamic Career Growth: Fast-track your development with mentorship and challenging projects. Idea Tanks: Collaborate and innovate in our dedicated creativity spaces. Growth Chats: Informal knowledge-sharing sessions to fuel your learning. Snack Zone: Stay energized with a variety of refreshments. Recognition & Rewards: Regular acknowledgment of your contributions and ideas. Certification Support: Grow your skillset with company-supported certification programs. Apply now to become a key player in Blend s analytics team and lead transformative marketing analytics projects. Qualification : Bachelors or Masters degree in Data Science, Statistics, Economics, Mathematics, or a related field.

Azure Data Engineer (Mid-Level) Hyderabad Location: Hyderabad, India Job Type: Full-Time | On-site/Hybrid Experience Level: 5+ Years Industry: Information Technology / Cloud Data Engineering Job Overview We are hiring an experienced Azure Data Engineer (Mid-Level) to join our team in Hyderabad. In this role, you will work closely with business stakeholders, analysts, and IT teams to design, implement, and manage scalable, high-performance data solutions on the Azure Cloud Platform. Your expertise in data modeling, ETL development, and cloud-based data warehousing will be critical in supporting data-driven decision-making across the organization. Key Responsibilities Analyze large datasets and deliver clear, actionable reports using statistical techniques. Design and implement data pipelines, data collection systems, and analytics strategies that enhance operational efficiency. Develop and maintain data systems, ensuring high data quality, consistency, and integrity. Collaborate with business stakeholders, analysts, and developers to translate business requirements into technical solutions. Design, build, and manage distributed data systems and applications on the Azure Cloud. Lead and execute ETL development, including data extraction, transformation, and loading using tools like Informatica or SSIS. Conduct technical design reviews, performance tuning, and testing of data workflows. Adapt to changing priorities and contribute as an individual contributor or team leader depending on project scope. Required Qualifications & Skills Bachelor s degree in Computer Science, Information Systems, or a related field. Minimum 5+ years of experience in data engineering, data analysis, or database design. Proficient in SQL and T-SQL for querying and managing relational databases. Hands-on experience with ETL frameworks such as Informatica or SSIS. Strong understanding of data modeling, data mining, and segmentation techniques. Experience working with structured and unstructured data sources. Proficient in statistical tools and packages (Excel, SSIS, SAS, etc.). Strong analytical mindset with excellent attention to detail and data accuracy. Preferred Skills (Good to Have) Experience with Python and Apache Spark for data manipulation and automation. Experience with modern data platforms: Azure Synapse Analytics Azure Databricks Amazon Redshift Prior experience in developing automation solutions using Python or similar scripting languages. Knowledge of Enterprise Data Warehousing (EDW) concepts and solutions. Competitive compensation package with benefits. Work with cutting-edge cloud technologies in real-world environments. Collaborative, fast-paced, and innovation-driven workplace. Career development support with continuous learning opportunities. A chance to make a tangible impact on enterprise-level data systems. Apply Now If you are a data-driven professional with a strong command of Azure and ETL tools, and you re looking to advance your career in data engineering, apply now and become part of a forward-thinking tech team based in Hyderabad! Qualification : Bachelors degree in Computer Science, Information Systems, or a related field.

Job Title: Azure Data Engineer Location: Hyderabad / Bangalore (Hybrid) Job Type: Full-time Salary: Negotiable Position Overview: We are looking for an Azure Data Engineer with 5-8 years of experience to join our team. As an Azure Data Engineer, you will design, implement, and manage data solutions on the Microsoft Azure cloud platform. The ideal candidate will have a strong background in writing complex SQL stored procedures, implementing OLTP database solutions using Microsoft SQL Server, and working with Azure Synapse, PySpark, and Azure Databricks for big data processing. Key Responsibilities: Data Integration and Collaboration: Collaborate with cross-functional teams to gather, analyze, and document business requirements for data integration projects. Complex SQL Expertise: Write and optimize complex T-SQL, Dynamic SQL, and Spark SQL queries, including the creation of stored procedures for data transformation and business validation logic. Big Data Processing: Utilize Azure Synapse/Databricks to write notebooks using Spark SQL or PySpark for processing and analyzing large volumes of data. Data Pipeline Development: Develop and maintain robust data pipelines using Azure Data Factory to ensure seamless data flow across systems. OLTP Systems: Contribute to the enhancement and optimization of OLTP systems using SQL Server. Data Quality and Integrity: Ensure data quality, integrity, and accuracy in all systems. Programming and Algorithm Development: Utilize strong algorithmic programming skills to handle data processing and transformation. Qualifications: Educational Background: Bachelor s degree in Computer Science, Information Technology, or a related field. Experience: 5-8 years of experience in database development, data integration, and writing complex T-SQL queries. Technical Skills: Expertise in T-SQL and Spark SQL/PySpark (experience with Azure Synapse and Databricks is essential). Hands-on experience with Azure Data Factory for building data pipelines. Strong experience with OLTP systems using SQL Server. Problem-Solving Skills: Excellent problem-solving abilities with a strong focus on attention to detail. Adaptability: Ability to work in a collaborative and fast-paced environment, focusing on delivering high-quality solutions. Other Details: Notice Period: 0-15 days MAX Work Location: Hyderabad / Bangalore (Hybrid) If you're an experienced Azure Data Engineer with a passion for big data and cloud technologies, apply now to join our team and make an impact with innovative data solutions! Qualification : Bachelors degree in Computer Science, Information Technology, or a related field.

Senior Data Engineer Hyderabad (On-site, Full-time) Location: Hyderabad, Telangana Work Type: On-site, Full-time Experience: 5+ Years Industry: AI & Data Science Company: Blend About Blend: Blend is a leading AI services company focused on solving real-world problems through the fusion of artificial intelligence, data science, and human ingenuity. We believe in co-creating meaningful impact by aligning top-tier talent with cutting-edge technology. Our goal is to deliver transformative solutions that unlock value for our clients and enrich the work and lives of our people. Job Overview: We are seeking a highly skilled Senior Data Engineer with strong experience in AWS, Databricks, Python, SQL, and Apache Spark/PySpark. You will be responsible for designing, developing, and maintaining scalable data architectures and pipelines to support analytics, machine learning, and business intelligence efforts across the organization. Key Responsibilities: Design and build scalable data pipelines using AWS services (Glue, Lambda, S3, EMR) and Databricks Notebooks & Workflows. Develop and manage robust ETL/ELT workflows using Python and SQL to handle structured and semi-structured data. Implement distributed data processing using Apache Spark or PySpark. Create and maintain data lakes in AWS Databricks. Collaborate with data scientists, analysts, and cross-functional teams to provide high-quality, accessible datasets. Ensure adherence to data governance, quality, and security best practices. Monitor, troubleshoot, and optimize the performance of data systems. Conduct code reviews and enforce engineering best practices. Mentor junior engineers and support their technical growth. Required Qualifications: Bachelor's or Master s degree in Computer Science, Engineering, or related field. 5+ years of experience in Data Engineering, with 2+ years working in AWS Databricks environments. Strong programming skills in Python for data processing and workflow automation. Advanced expertise in SQL for data transformation and querying large datasets. Proficient in distributed data processing using Apache Spark/PySpark. Solid understanding of data modeling, data warehousing, and performance optimization techniques. Hands-on experience with AWS services such as Glue, S3, Lambda, and EMR. Familiarity with version control tools like Git or CodeCommit. Experience with workflow orchestration tools like Airflow or AWS Step Functions (preferred but not mandatory). Be part of a forward-thinking, AI-driven organization. Work with cutting-edge cloud technologies and data platforms. Thrive in a culture of innovation, mentorship, and continuous learning. Enjoy opportunities to grow technically and professionally while driving real-world impact. Apply Now to join Blend as a Senior Data Engineer and help build data infrastructure that powers intelligent decision-making. Qualification : Bachelor's or Masters degree in Computer Science, Engineering, or related field.

Data Architect Hyderabad Experience: 10-17 Years Job Type: Full-Time | On-site/Hybrid Location: Hyderabad, India Industry: Data Engineering / Cloud Architecture Job Overview We are looking for an experienced Data Architect with 10+ years of expertise in designing, optimizing, and managing enterprise-scale data architectures on Azure Cloud. The ideal candidate will lead efforts to enhance data pipeline performance, ensure robust data governance, and drive cost-effective cloud resource utilization. If you excel in architecting scalable, secure, and high-performing data solutions, this is your chance to join a dynamic team in Hyderabad. Key Roles & Responsibilities Design, optimize, and maintain data pipelines, ETL processes, and complex queries to maximize performance and scalability. Improve query execution plans, indexing strategies, and optimize storage in Azure SQL, Azure Synapse Analytics, and Azure Data Lake. Implement advanced data management techniques such as data partitioning, caching, and compression for efficient data processing. Monitor cloud resource consumption and implement cost-saving strategies without impacting system performance. Optimize use of Azure services including Databricks, Data Factory, Synapse Analytics, and storage accounts to balance performance and cost. Establish and enforce coding standards, design patterns, and best practices for data pipeline development and cloud infrastructure management. Define and implement data governance, security, and compliance policies aligned with organizational and regulatory requirements. Develop and oversee CI/CD pipelines using DevOps methodologies tailored to data engineering workflows. Implement monitoring, alerting, and logging solutions using Azure Monitor, Log Analytics, and Application Insights to ensure system reliability. Architect solutions for high availability and disaster recovery to maintain business continuity. Optimize Power BI data models, DAX queries, and report performance; ensure governance and data refresh strategies meet business needs. Collaborate with cross-functional teams and business stakeholders to translate requirements into scalable and actionable data insights. Required Skills & Qualifications 10+ years of experience in data architecture, cloud data engineering, or related roles. Deep expertise in Azure Cloud data services: Azure SQL, Synapse Analytics, Data Lake, Databricks, Data Factory. Strong background in ETL pipeline optimization, query tuning, and storage management. Proven experience with data governance, security frameworks, and compliance standards. Familiarity with DevOps principles, especially CI/CD for data workflows. Expertise in monitoring tools like Azure Monitor, Log Analytics, and Application Insights. Hands-on experience optimizing Power BI solutions, including data modeling and report design. Excellent communication and stakeholder management skills. Work on large-scale, cutting-edge data projects impacting enterprise business decisions. Collaborate with a passionate, skilled team in a fast-paced, innovative environment. Competitive salary and benefits package. Opportunity to shape the future of data architecture within a leading organization. Apply Today If you are an expert Data Architect ready to take your career to the next level with advanced Azure data technologies, apply now and join our Hyderabad team!

Data Engineering Support Engineer SIMA (5+ Years) Hyderabad Location: Hyderabad, India Job Type: Full-Time | On-site/Hybrid Experience: 5+ Years Industry: Data Engineering / Cloud Support Job Overview We are seeking an experienced Data Engineering Support Engineer with a strong background in maintaining and optimizing data pipelines, ensuring platform reliability, and supporting cloud data infrastructure. This role is critical to sustaining smooth data operations for the SIMA platform in Hyderabad. Key Responsibilities Maintain and support data pipelines and transformations on Azure cloud platforms. Ensure platform stability and reliability through proactive monitoring and issue resolution. Manage scheduling and monitoring using Azure Data Factory (ADF) triggers, Azure Monitor, and Log Analytics (KQL). Handle data ingestion and validation workflows via ADF, Event Hub, APIs, and PySpark, including managing schema drift. Manage CI/CD pipelines using Azure DevOps YAML, deploying solutions for ADF, Synapse, and Databricks. Optimize data transformations and performance using PySpark and Delta Lake techniques like partitioning and caching. Implement and maintain security best practices using Azure RBAC, Key Vault, NSGs, and Integration Runtime configuration. Conduct Root Cause Analysis (RCA), document findings, maintain disaster recovery playbooks, and implement proactive alerting. Required Skills 5+ years of hands-on experience in data engineering support roles. Expertise in Azure Data Factory (ADF) scheduling, triggers, and monitoring. Proficient with PySpark for data transformations and performance optimization. Experience with Delta Lake optimizations including partitioning and caching. Skilled in CI/CD practices using Azure DevOps for deploying data workflows. Strong knowledge of Azure security features: RBAC, Key Vault, Network Security Groups (NSGs). Ability to perform detailed Root Cause Analysis (RCA) and develop disaster recovery strategies. Familiarity with data ingestion tools like Event Hub and API integrations. Experience with Kusto Query Language (KQL) for Log Analytics queries. Join a dynamic team maintaining critical data infrastructure supporting business operations. Work with advanced Azure data services and cloud-based data platforms. Competitive salary and comprehensive benefits. Opportunity for growth and skill development in cloud data engineering. Apply Now If you are a detail-oriented data engineering professional with expertise in Azure platform support, apply today to become a vital part of our Hyderabad-based SIMA team!

Job Description We are looking for a passionate engineer interested in working at an early-stage startup building innovative cloud-native data protection solutions. The ideal candidate must be comfortable learning and scoping business requirements to develop effective solutions. This is a great opportunity for engineers who are eager to step out of their comfort zone and solve impactful modern data security concerns. Desired Background and Experience: Must be a problem solver with the ability to think critically and creatively. Minimum of 8 years of experience building products using Java and/or Python. Prior experience in startups is a huge plus. Comfortable with rapid prototyping and implementation of products in an agile team environment. Data engineering experience with implementation of data ingestion, ETL, data pipeline/workflows. Experience implementing database views and UDFs to control access to data using row and column filters. Working experience in databases and data warehouses. Proficient in one or more of the following: AWS RDS, AWS Data Lake, Redshift, Athena, Databricks, and Snowflake. Experience implementing data solutions using Spark. Ability to write and tune complex SQL queries.

Job Description Location: Hyderabad, Telangana, India Job Type: Permanent (full-time) Experience: 6+ years No. of Openings: 2 Key Responsibilities: Tech Stack Expertise: Proficiency in Python, Pyspark, and Databricks, utilizing these tools to develop robust data pipelines, perform data transformations, and optimize data workflows within the Supply Chain realm. Innovative Problem-Solving: Demonstrate technical expertise by thinking creatively and providing innovative solutions to complex data-related challenges, pushing boundaries in Supply Chain data analytics. Communication Skills: Exceptional communication abilities to effectively convey technical concepts, collaborate with cross-functional teams, and articulate solutions to non-technical stakeholders. Autonomous Work: Ability to work independently and proactively, taking ownership of projects, and delivering high-quality solutions with minimal supervision. Guidance and Best Practices: Lead the team by setting coding standards, advocating for reusable and modularized code, implementing design patterns, and guiding on best practices in data engineering. Perks and Benefits: Strong expertise in Python, Pyspark, and Databricks, with hands-on experience in developing and optimizing data pipelines for complex data transformations. Exceptional problem-solving skills, with a demonstrated ability to think creatively and develop innovative solutions for data-related issues. Excellent communication and interpersonal skills, with the ability to collaborate effectively with diverse teams and stakeholders. Self-driven and autonomous work style, capable of taking ownership of projects and delivering high-quality results independently. Experience in guiding and mentoring teams on coding standards, design patterns, and best practices in data engineering.

Job Title: Manager - Data Science Location: Hyderabad Department: Data Science Employment Type: Full-Time, Permanent Role Overview: As a Manager - Data Science at Blend, you won t just manage you'll lead by doing. This role demands strong hands-on expertise in Machine Learning (ML), Generative AI, Python, SQL, and any cloud environment (GCP, Azure, or AWS). You will stay deeply engaged in the technical side while mentoring and growing a high-performing team. You ll be responsible for leading end-to-end AI/ML project execution, collaborating with cross-functional teams, and driving innovation within Blend's Data Science practice. If you love solving complex problems, thrive in a fast-paced environment, and can translate business challenges into cutting-edge AI solutions, we d love to have you on board! Key Responsibilities: Delivery & Project Management: Lead the development and implementation of ML models, Generative AI solutions, and predictive analytics. Perform data mining, feature engineering, and statistical analysis to extract meaningful insights. Own project roadmaps, ensure quality control, and drive timely delivery of projects. Collaborate with Data Engineering teams to deploy and operationalize ML models. Automate and optimize workflows to enhance efficiency and streamline processes. Practice Development: Contribute to the scaling of Blend s Data Science practice by building new capabilities. Design industry-specific AI/ML solutions and contribute to thought leadership in AI/ML. Evaluate emerging AI trends and tools and integrate them into Blend s ecosystem. Lead innovation initiatives, research, and internal AI development. People & Leadership: Mentor and develop a high-performance data science team. Guide team members' career development and set performance benchmarks. Collaborate with cross-functional teams to ensure seamless execution of projects. Qualifications: Experience: 8+ years in Data Science & AI, with hands-on expertise in ML, Generative AI, Python, and SQL. Strong knowledge of ML algorithms (Classification, Regression, Forecasting, NLP, LLMs, Optimization, etc.). Proven experience in end-to-end ML deployment, including working with Azure, AWS, GCP, or Databricks. Industry Expertise: Demonstrated ability to solve complex business challenges in Retail, CPG, BFSI, Healthcare, or eCommerce. In-depth understanding of statistics, probability, stochastic processes, and causal inference. Excellent communication skills with the ability to explain AI concepts to non-technical stakeholders. Experience with big data tools such as Hadoop, Hive, PySpark, and ML pipelines. Bonus: Experience with Google Analytics, Adobe Analytics, or digital marketing analytics. Education: Bachelor s/Master s degree in Computer Science, Statistics, Math, Operations Research, or a related field. What You Get in Return: Competitive Salary: Your skills and contributions are highly valued, and we ensure your salary reflects your expertise and experience. Dynamic Career Growth: Our vibrant environment offers opportunities for rapid growth, providing the right tools, mentorship, and experiences to fast-track your career. Idea Tanks: Our Idea Tanks offer a space for you to pitch, experiment, and collaborate on ideas that can shape the future. Growth Chats: Engage in casual Growth Chats to learn from the best, whether it s over lunch or a laid-back session with peers. Snack Zone: Enjoy a variety of snacks to keep your energy high and ideas flowing. Recognition & Rewards: Expect regular Hive-Fives, shoutouts, and the chance to see your ideas come to life as part of our reward program. Fuel Your Growth Journey with Certifications: We support your growth by covering the cost of certifications to level up your skills. If you're ready to lead cutting-edge AI projects and grow within a dynamic team, Blend is the place for you. Apply today to be part of an innovative and collaborative culture! Qualification : Bachelors/Masters degree inComputer Science, Statistics, Math, Operations Research, or a related field.

What Gramener Offers You Gramener will offer you an inviting workplace, talented colleagues from diverse backgrounds, career paths, and steady growth prospects with ample opportunities to innovate. Our goal is to create an ecosystem of easily configurable data applications focused on storytelling for public and private use. Role Description We are seeking a Backend Developer with 5+ years of experience in application development using Python and related backend technologies. The ideal candidate will be responsible for interpreting business requirements and translating them into clear, robust, and scalable technology solutions. Key Responsibilities Develop and maintain backend solutions using Python Tornado and FastAPI frameworks. Design, implement, and maintain RESTful APIs, ensuring secure token authentication and data compression. Work with various RDBMS models in the cloud and integrate different databases such as Clickhouse, MS SQL, Postgres, and Snowflake. Collaborate with cross-functional teams in an Agile environment to deliver high-quality solutions. Debug and troubleshoot issues by analyzing log files and error messages to identify and resolve root causes. Utilize version control and issue tracking systems such as Bitbucket, Git CLI, and Jira to manage projects efficiently. Follow best practices for code development, ensuring scalability, maintainability, and performance. Preferred Skills and Experience Strong understanding of RDBMS database models in the cloud environment. Basic knowledge of cloud components like Databricks, ADLS, and OAuth/Secrets is a plus. Proven experience with Python Tornado and FastAPI frameworks. Familiarity with token authentication mechanisms and secure API development. Good understanding of Agile methodologies and working in an Agile environment at scale. Excellent problem-solving skills, with the ability to analyze complex systems and find innovative solutions. Strong communication and teamwork skills, with a collaborative spirit. About Us At Gramener, we consult and deliver solutions that empower organizations to make data-driven decisions. We help our clients convert data into a strategic differentiator through strategic data consulting, advanced analytics, and visualization solutions. Our mission is to analyze and visualize large amounts of data, enabling organizations to gain valuable insights and achieve their business goals.

Join Amgen s Mission of Serving Patients At Amgen, you re part of something bigger our shared mission to serve patients with serious illnesses drives everything we do. Since 1980, we ve been pioneers in the biotech industry, focusing on Oncology, Inflammation, General Medicine, and Rare Diseases, helping millions of patients live longer, fuller lives. Amgen remains on the cutting edge of innovation, combining biology and technology with human genetic data to push beyond what s possible today. Specialist IS Engineer What You ll Do As a Specialist IS Engineer, you will develop and implement the next generation of pharmacovigilance platforms while supporting existing technologies. This includes designing, developing, and deploying complex software solutions while mentoring junior developers. You ll collaborate with cross-functional teams to deliver high-quality, scalable solutions that ensure system reliability and innovation in safety systems. Key Responsibilities Design, develop, and deploy solutions for pharmacovigilance systems to enhance adverse event intake and distribution. Ensure technical implementation aligns with GxP validation processes and IS Change Control standards. Collaborate with partners to prioritize system enhancements and new functionalities for safety systems. Develop innovative solutions using Generative AI and large language models (LLMs) like OpenAI GPT for improved decision-making and efficiency. Rapidly prototype and translate concepts into working code. Drive automation and process improvements within the drug-safety ecosystem. Conduct code reviews and maintain technical documentation for architecture, design, deployment, and disaster recovery. Lead technical root cause analyses and collaborate with software vendors to resolve system-related issues. Basic Qualifications Master s Degree with 4 6 years of experience, or Bachelor s Degree with 6 8 years of experience, or Diploma with 10 12 years of experience in Computer Science, Software Development, or a related field Required Skills Must-Have: Proficiency in SQL, Databricks, and data modeling concepts Experience in Python or JavaScript and reporting tools like Power BI or Tableau Familiarity with PV terminologies and regulatory compliance Hands-on experience with SDLC, ETL tools (Informatica, Databricks), and API integrations (MuleSoft) Strong problem-solving skills, collaborative mindset, and effective communication Knowledge of ITIL processes and GxP validation Nice-to-Have: Experience with COTS Pharmacovigilance Platforms (e.g., Argus) Cloud experience with AWS or Azure Knowledge of AI, Machine Learning (ML), Natural Language Processing (NLP) Professional certifications such as SAFe Agile Software Engineer or SAFe for Teams Soft Skills Strong verbal and written communication skills Analytical and problem-solving mindset Ability to collaborate with global, virtual teams Initiative-driven with an ownership mindset Adaptability and resilience in ambiguous situations What You Can Expect Amgen offers a collaborative, science-driven culture and comprehensive benefits, including competitive salaries, professional growth support, and a focus on your well-being. Shift Information: This role may require working late shifts, with potential for evening or night schedules based on business needs. Apply now to make a real difference in the lives of patients while transforming your career at careers.amgen.com. Equal Opportunity Employer: Amgen is committed to creating a diverse and inclusive environment. We provide reasonable accommodations to individuals with disabilities.

We are seeking a skilled and driven Senior Data DevOps Engineer with strong MLOps expertise to join our team. The ideal candidate will have a deep understanding of data engineering, automation in data pipelines, and operationalizing machine learning models. The role requires a collaborative professional capable of designing, deploying, and managing scalable data and ML pipelines that align with business goals. #LI-DNI#EasyApply Responsibilities Develop, deploy, and manage CI/CD pipelines for data integration and machine learning model deployment Implement and maintain infrastructure for data processing and model training using cloud-based tools and services Automate data validation, transformation, and workflow orchestration processes Collaborate with data scientists, software engineers, and product teams to ensure seamless integration of ML models into production Optimize model serving and monitoring to enhance performance and reliability Maintain data versioning, lineage tracking, and reproducibility of ML experiments Proactively identify opportunities to improve deployment processes, scalability, and infrastructure resilience Ensure robust security measures are in place to protect data integrity and compliance with regulations Troubleshoot and resolve issues across the data and ML pipeline lifecycle Requirements Bachelor s or Master s degree in Computer Science, Data Engineering, or a related field 4+ years of experience in Data DevOps, MLOps, or related roles Strong proficiency in cloud platforms such as Azure, AWS, or GCP Experience with Infrastructure as Code (IaC) tools like Terraform, CloudFormation, or Ansible Expertise in containerization and orchestration technologies (e.g., Docker, Kubernetes) Hands-on experience with data processing frameworks (e.g., Apache Spark, Databricks) Proficiency in programming languages such as Python, with knowledge of data manipulation and ML libraries (e.g., Pandas, TensorFlow, PyTorch) Familiarity with CI/CD tools (e.g., Jenkins, GitLab CI/CD, GitHub Actions) Experience with version control tools (e.g., Git) and MLOps platforms (e.g., MLflow, Kubeflow) Strong understanding of monitoring, logging, and alerting systems (e.g., Prometheus, Grafana) Excellent problem-solving skills and the ability to work independently and as part of a team Strong communication and documentation skills Nice to have Experience with DataOps concepts and tools (e.g., Airflow, dbt) Knowledge of data governance and tools like Collibra Familiarity with Big Data technologies (e.g., Hadoop, Hive) Certifications in cloud platforms or data engineering We offer Opportunity to work on technical challenges that may impact across geographies Vast opportunities for self-development: online university, knowledge sharing opportunities globally, learning opportunities through external certifications Opportunity to share your ideas on international platforms Sponsored Tech Talks & Hackathons Unlimited access to LinkedIn learning solutions Possibility to relocate to any EPAM office for short and long-term projects Focused individual development Benefit package: Health benefits Retirement benefits Paid time off Flexible benefits Forums to explore beyond work passion (CSR, photography, painting, sports, etc.) Qualification : Bachelors or Masters degree in Computer Science, Data Engineering, or a related field