1045 Data Bricks Jobs - Page 41

Role & responsibilities Design, build, and maintain scalable and efficient data pipelines and ETL/ELT processes. Develop and optimize data models for analytics and operational purposes in cloud-based data warehouses (e.g., Snowflake, Redshift, BigQuery). Collaborate with data scientists, analysts, and business stakeholders to understand data requirements and deliver reliable datasets. Implement data quality checks, monitoring, and alerting for pipelines. Work with structured and unstructured data across various sources (APIs, databases, streaming). Ensure data security, compliance, and governance practices are followed. Write clean, efficient, and testable code using Python, SQL, or Scala. Support the development of data catalogs and documentation. Participate in code reviews and contribute to best practices in data engineering. Preferred candidate profile 3- 9 years of hands-on experience in data engineering or a similar role. Strong proficiency in SQL and Python, Pyspark. Experience with data pipeline orchestration tools like Apache Airflow, Prefect, or Luigi.( Any Of the skill) Familiarity with cloud platforms such as AWS, Azure, or GCP (e.g., S3, Lambda, Glue, BigQuery, Dataflow).( Any of the Skill) Experience with big data tools such as Spark, Kafka, Hive, or Hadoop.(ANy One) Strong understanding of relational and non-relational databases. Exposure to CI/CD practices and tools (e.g., Git, Jenkins, Docker). Excellent problem-solving and communication skills.

Job Title: Big Data Developer Project Support & Mentorship Location: Mumbai Employment Type: Full-Time/Contract Department: Engineering & Delivery Position Overview: We are seeking a skilled Big Data Developer to join our growing delivery team, with a dual focus on hands-on project support and mentoring junior engineers. This role is ideal for a developer who not only thrives in a technical, fast-paced environment but is also passionate about coaching and developing the next generation of talent. You will work on live client projects, provide technical support, contribute to solution delivery, and serve as a go-to technical mentor for less experienced team members. Key Responsibilities: Perform hands-on Big Data development work, including coding, testing, troubleshooting, and deploying solutions. Support ongoing client projects, addressing technical challenges and ensuring smooth delivery. Collaborate with junior engineers to guide them on coding standards, best practices, debugging, and project execution. Review code and provide feedback to junior engineers to maintain high quality and scalable solutions. Assist in designing and implementing solutions using Hadoop, Spark, Hive, HDFS, and Kafka. Lead by example in object-oriented development, particularly using Scala and Java. Translate complex requirements into clear, actionable technical tasks for the team. Contribute to the development of ETL processes for integrating data from various sources. Document technical approaches, best practices, and workflows for knowledge sharing within the team. Required Skills and Qualifications: 8+ years of professional experience in Big Data development and engineering. Strong hands-on expertise with Hadoop, Hive, HDFS, Apache Spark, and Kafka. Solid object-oriented development experience with Scala and Java. Strong SQL skills with experience working with large data sets. Practical experience designing, installing, configuring, and supporting Big Data clusters. Deep understanding of ETL processes and data integration strategies. Proven experience mentoring or supporting junior engineers in a team setting. Strong problem-solving, troubleshooting, and analytical skills. Excellent communication and interpersonal skills. Preferred Qualifications: Professional certifications in Big Data technologies (Cloudera, Databricks, AWS Big Data Specialty, etc.). Experience with cloud Big Data platforms (AWS EMR, Azure HDInsight, or GCP Dataproc). Exposure to Agile or DevOps practices in Big Data project environments. What We Offer: Opportunity to work on challenging, high-impact Big Data projects. Leadership role in shaping and mentoring the next generation of engineers. Supportive and collaborative team culture. Flexible working environment Competitive compensation and professional growth opportunities.

Role Definition: Data Scientists focus on researching and developing AI algorithms and models. They analyse data, build predictive models, and apply machine learning techniques to solve complex problems. Skills: • Proficient: Languages/Framework: Fast API, Azure UI Search API (React) o Databases and ETL: Cosmos DB (API for MongoDB), Data Factory Data Bricks o Proficiency in Python and R o Cloud: Azure Cloud Basics (Azure DevOps) o Gitlab: Gitlab Pipeline o Ansible and REX: Rex Deployment o Data Science: Prompt Engineering + Modern Testing o Data mining and cleaning o ML (Supervised/unsupervised learning) o NLP techniques, knowledge of Deep Learning techniques include RNN, transformers o End-to-end AI solution delivery o AI integration and deployment o AI frameworks (PyTorch) o MLOps frameworks o Model deployment processes o Data pipeline monitoring Expert: (in addition to proficient skills) o Languages/Framework: Azure Open AI o Data Science: Open AI GPT Family of models 4o/4/3, Embeddings + Vector Search o Databases and ETL: Azure Storage Account o Expertise in machine learning algorithms (supervised, unsupervised, reinforcement learning) o Proficiency in deep learning frameworks (TensorFlow, PyTorch) o Strong mathematical foundation (linear algebra, calculus, probability, statistics) o Research methodology and experimental design o Proficiency in data analysis tools (Pandas, NumPy, SQL) o Strong statistical and probabilistic modelling skills o Data visualization skills (Matplotlib, Seaborn, Tableau) o Knowledge of big data technologies (Spark, Hive) o Experience with AI-driven analytics and decision-making systems

Job Description / Skill set: 5+ years of related experience with a Bachelors degree; consulting experience preferred. 5+ years of hands-on experience in data engineering /ETL using Databricks on AWS / Azure cloud infrastructure and functions. 3+ years of experience in PBI and Data Warehousing experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement. Experience with AWS (e.g. S3, Athena, Glue, Lambda, etc.) preferred. Deep understanding of data warehousing concepts (Dimensional (star-schema), SCD2, Data Vault, Denormalized, OBT) implementing highly performant data ingestion pipelines from multiple sources Strong proficiency in Python and SQL. Deep understanding of Databricks platform features (Delta Lake, Databricks SQL, MLflow) Experience with CI/CD on Databricks using tools such as BitBucket, GitHub Actions, and Databricks CLI -nyea Integrating the end-to-end Databricks pipeline to take data from source systems to target data repositories ensuring the quality and consistency of data is always maintained. Working within an Agile delivery / DevOps methodology to deliver proof of concept and production implementation in iterative sprints. Experience with Delta Lake, Unity Catalog, Delta Sharing, Delta Live Tables (DLT), MLflow. Basic working knowledge of API or Stream based data extraction processes like Salesforce API, Bulk API. Understanding of Data Management principles (quality, governance, security, privacy, life cycle management, cataloguing) Excellent problem-solving and analytical skills Able to Work Independently Excellent oral and written communication skills Nice to have: Databricks certifications and AWS Solution Architect certification. Nice to have: experience with building data pipeline from various business applications like Salesforce, Marketo, NetSuite, Workday etc.

A Senior Data Engineer specializing in Python, SQL, dbt, and Databrick Job Title: Senior Data Engineer Shift: 2.30 PM to 11.30 PM Location: Chennai/Bengaluru (Hybrid) Certification is added advantage Responsibilities: Design, develop, and maintain scalable ETL/ELT pipelines using dbt and Databricks. Optimize SQL queries for efficient data processing and analytics. Implement data modeling best practices to support business intelligence and reporting needs. Ensure data integrity, security, and governance across various platforms. Collaborate with data scientists, analysts, and business teams to understand data requirements. Monitor and troubleshoot data pipelines to ensure reliability and performance. Work with cloudbased data warehouses and big data technologies to manage large datasets. Automate data workflows using Python and integrate with various APIs. Qualifications: 5+ years of experience in data engineering or a related field. Strong proficiency in Python for data processing and automation. Expertise in SQL for querying and managing relational databases. Hands-on experience with dbt for data transformation and modeling. Familiarity with Databricks and Apache Spark for big data processing.Experience with cloud platforms like AWS, Azure, or GCP. Knowledge of CI/CD pipelines for data deployment. Strong problem-solving skills and ability to optimize data workflows. Brief note from client- He/she will be working on multiple projects to ingest data and create production-grade data pipelines. Currently, Need to ingest data from Verint Cloud using their APIs into Databricks. Also have a need to create data pipelines (using Python, SQL, dbt) to create data products for Financial reporting. The exact projects may change over time, depending on the timing of the new hire. Client is looking for a senior data engineer who is technically proficient and requires minimal hand-holding. He/she would be expected to troubleshoot and solve problems on their own, and produce high quality data products. Hope that gives you a good idea. Also, he/she would be required to have a good workday overlap with our team. I Client is expecting that resource can work till around 2 pm US Central Time

Role & responsibilities 1. Strong experience in Azure Data Engineering 2. Experience in Python/Pyspark 3. Experience ADF AND Databricks

Minimum of 4 -9 years of experience in ETL development using IICS-CDI (Cloud Data Integration), including experience with IICS Cloud Console and PowerCenter Designer Design, develop and implement ETL solutions using IICS - CDI to extract, transform and load data from various sources into data warehouse Strong understanding of data warehousing concepts, ETL frameworks, and best practices Solid experience with SQL and database technologies such as SQL Server, Oracle etc. (Preferably Azure Synapse) Should be Familiar with data modeling and data integration techniques Be able to Work with cross-functional teams to understand business requirements and translate them into technical specifications for ETL development Develop and maintain ETL mappings, workflows, and schedules using IICS - CDI Ensure data quality, integrity, and consistency by performing data validation, cleansing, and enrichment activities Monitor ETL jobs to ensure successful completion, identify and resolve errors and performance issues Nice to have - Experience with Informatica Cloud Secure Agents Familiarity with cloud technologies such as Azure, AWS or Google Cloud Platform Experience with scripting languages such as Python or Shell scripting Excellent analytical and problem-solving skills, with a keen attention to detail Ability to work independently and in a team-oriented, collaborative environment Strong communication and interpersonal skills Familiarity with Agile development methodologies Preferred Certifications: Informatica Cloud Data and Application Integration R38, Professional Certification AZ-900: Microsoft Azure Fundamentals DP-900: Microsoft Azure Data Fundamentals DP-203: Data Engineering on Microsoft Azure

Overview As a member of the Platform engineering team, you will be the key techno functional expert leading and overseeing PepsiCo's Platforms & operations and drive a strong vision for how Platforms engineering can proactively create a positive impact on the business. You'll be an empowered member of a team of Platform engineers who build Platform products for platform optimization and cost optimization and build tools for Platform ops and Data Ops on the PepsiCo Data Lake, and enable exploration and access for analytics, visualization, machine learning, and product development efforts across the company. As member of the Platform engineering team, you will help in managing platform Governance team that builds frameworks to guardrail the platforms of very large and complex data applications in public cloud environments and directly impact the design, architecture, and implementation of PepsiCo's flagship data products around topics like revenue management, supply chain, manufacturing, and logistics. You will work closely with process owners, product owners and business users. You'll be working in a hybrid environment with in-house, on-premises data sources as well as cloud and remote systems. Responsibilities Active contributor to cost optimization of platforms and services. Manage and scale Azure Data Platforms to support new product launches and drive Platform Stability and Observability across data products. Build and own the automation and monitoring frameworks that captures metrics and operational KPIs for Data Platforms for cost and performance. Responsible for implementing best practices around systems integration, security, performance and Platform management. Empower the business by creating value through the increased adoption of data, data science and business intelligence landscape. Collaborate with internal clients (data science and product teams) to drive solutioning and POC discussions. Evolve the architectural capabilities and maturity of the data platform by engaging with enterprise architects and strategic internal and external partners. Develop and optimize procedures to production Alize data science models. Define and manage SLAs for Platforms and processes running in production. Support large-scale experimentation done by data scientists. Prototype new approaches and build solutions at scale. Research in state-of-the-art methodologies. Create documentation for learnings and knowledge transfer. Create and audit reusable packages or libraries. Qualifications 2+ years of overall technology experience that includes at least 4+ years of hands-on software development, Program management, and data engineering 1+ years of experience with Data Lake Infrastructure, Data Warehousing, and Data Analytics tools. 1+ years of experience in Databricks optimization and performance tuning Experience in managing multiple teams and coordinating with different stakeholders to implement the vision of the team. Fluent with Azure cloud services. Azure Certification is a plus. Experience with integration of multi cloud services with on-premises technologies. Experience with data modeling, data warehousing, and building high-volume ETL/ELT pipelines. Experience building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets. Experience with at least one MPP database technology such as Redshift, Synapse or SnowFlake. Experience with version control systems like Github and deployment & CI tools. Experience with Azure Data Factory, Azure Databricks. Experience with Statistical/ML techniques is a plus. Experience with building solutions in the retail or in the supply chain space is a plus Understanding of metadata management, data lineage, and data glossaries is a plus. Working knowledge of agile development, including DevOps and DataOps concepts. Familiarity with business intelligence tools (such as PowerBI).

Role :- Resident Solution ArchitectLocation: RemoteThe Solution Architect at Koantek builds secure, highly scalable big data solutions to achieve tangible, data-driven outcomes all the while keeping simplicity and operational effectiveness in mind This role collaborates with teammates, product teams, and cross-functional project teams to lead the adoption and integration of the Databricks Lakehouse Platform into the enterprise ecosystem and AWS/Azure/GCP architecture This role is responsible for implementing securely architected big data solutions that are operationally reliable, performant, and deliver on strategic initiatives Specific requirements for the role include: Expert-level knowledge of data frameworks, data lakes and open-source projects such as Apache Spark, MLflow, and Delta Lake Expert-level hands-on coding experience in Python, SQL ,Spark/Scala,Python or Pyspark In depth understanding of Spark Architecture including Spark Core, Spark SQL, Data Frames, Spark Streaming, RDD caching, Spark MLib IoT/event-driven/microservices in the cloud- Experience with private and public cloud architectures, pros/cons, and migration considerations Extensive hands-on experience implementing data migration and data processing using AWS/Azure/GCP services Extensive hands-on experience with the Technology stack available in the industry for data management, data ingestion, capture, processing, and curation: Kafka, StreamSets, Attunity, GoldenGate, Map Reduce, Hadoop, Hive, Hbase, Cassandra, Spark, Flume, Hive, Impala, etc Experience using Azure DevOps and CI/CD as well as Agile tools and processes including Git, Jenkins, Jira, and Confluence Experience in creating tables, partitioning, bucketing, loading and aggregating data using Spark SQL/Scala Able to build ingestion to ADLS and enable BI layer for Analytics with strong understanding of Data Modeling and defining conceptual logical and physical data models Proficient level experience with architecture design, build and optimization of big data collection, ingestion, storage, processing, and visualization Responsibilities : Work closely with team members to lead and drive enterprise solutions, advising on key decision points on trade-offs, best practices, and risk mitigationGuide customers in transforming big data projects,including development and deployment of big data and AI applications Promote, emphasize, and leverage big data solutions to deploy performant systems that appropriately auto-scale, are highly available, fault-tolerant, self-monitoring, and serviceable Use a defense-in-depth approach in designing data solutions and AWS/Azure/GCP infrastructure Assist and advise data engineers in the preparation and delivery of raw data for prescriptive and predictive modeling Aid developers to identify, design, and implement process improvements with automation tools to optimizing data delivery Implement processes and systems to monitor data quality and security, ensuring production data is accurate and available for key stakeholders and the business processes that depend on it Employ change management best practices to ensure that data remains readily accessible to the business Implement reusable design templates and solutions to integrate, automate, and orchestrate cloud operational needs and experience with MDM using data governance solutions Qualifications : Overall experience of 12+ years in the IT field Hands-on experience designing and implementing multi-tenant solutions using Azure Databricks for data governance, data pipelines for near real-time data warehouse, and machine learning solutions Design and development experience with scalable and cost-effective Microsoft Azure/AWS/GCP data architecture and related solutions Experience in a software development, data engineering, or data analytics field using Python, Scala, Spark, Java, or equivalent technologies Bachelors or Masters degree in Big Data, Computer Science, Engineering, Mathematics, or similar area of study or equivalent work experience Good to have- - Advanced technical certifications: Azure Solutions Architect Expert, - AWS Certified Data Analytics, DASCA Big Data Engineering and Analytics - AWS Certified Cloud Practitioner, Solutions Architect - Professional Google Cloud Certified Location : - Mumbai, Delhi / NCR, Bengaluru , Kolkata, Chennai, Hyderabad, Ahmedabad, Pune, Remote

About The Role : Job Title Transformation Principal Change Analyst Corporate TitleAVP LocationBangalore, India Role Description We are looking for an experienced Change Manager to lead a variety of regional/global change initiatives. Utilizing the tenets of PMI, you will lead cross-functional initiatives that transform the way we run our operations. If you like to solve complex problems, have a gets things done attitude and are looking for a highly visible dynamic role where your voice is heard and your experience is appreciated, come talk to us What we'll offer you As part of our flexible scheme, here are just some of the benefits that youll enjoy, Best in class leave policy. Gender neutral parental leaves 100% reimbursement under childcare assistance benefit (gender neutral) Sponsorship for Industry relevant certifications and education Employee Assistance Program for you and your family members Comprehensive Hospitalization Insurance for you and your dependents Accident and Term life Insurance Complementary Health screening for 35 yrs. and above Your key responsibilities Responsible for change management planning, execution and reporting adhering to governance standards ensuring transparency around progress status; Using data to tell the story, maintain risk management controls, monitor and communicate initiatives risks; Collaborate with other departments as required to execute on timelines to meet the strategic goals As part of the larger team, accountable for the delivery and adoption of the global change portfolio including by not limited to business case development/analysis, reporting, measurements and reporting of adoption success measures and continuous improvement. As required, using data to tell the story, participate in Working Group and Steering Committee to achieve the right level of decision making and progress/ transparency, establishing strong partnership and collaborative relationships with various stakeholder groups to remove constraints to success and carry forward to future projects. As required, developing and documenting end-to-end roles and responsibilities, including process flow, operating procedures, required controls, gathering and documenting business requirements (user stories)including liaising with end-users and performing analysis of gathered data. Heavily involved in product development journey Your skills and experience Overall experience of at least 7-10 years leading complex change programs/projects, communicating and driving transformation initiatives using the tenets of PMI in a highly matrixed environment Banking / Finance/ regulated industry experience of which at least 2 years should be in change / transformation space or associated with change/transformation initiatives a plus Knowledge of client lifecycle processes, procedures and experience with KYC data structures / data flows is preferred. Experience working with management reporting is preferred. Bachelors degree How we'll support you Training and development to help you excel in your career. Coaching and support from experts in your team. A culture of continuous learning to aid progression. A range of flexible benefits that you can tailor to suit your needs. About us and our teams Please visit our company website for further information: https://www.db.com/company/company.htm We strive for a culture in which we are empowered to excel together every day. This includes acting responsibly, thinking commercially, taking initiative and working collaboratively. Together we share and celebrate the successes of our people. Together we are Deutsche Bank Group. We welcome applications from all people and promote a positive, fair and inclusive work environment.

ABOUT AMGEN Amgen harnesses the best of biology and technology to fight the world’s toughest diseases, and make people’s lives easier, fuller and longer. We discover, develop, manufacture and deliver innovative medicines to help millions of patients. Amgen helped establish the biotechnology industry more than 40 years ago and remains on the cutting-edge of innovation, using technology and human genetic data to push beyond what’s known today. ABOUT THE ROLE Role Description We are seeking an experienced MDM Manager with 10–14 years of experience to lead strategic development and operations of our Master Data Management (MDM) platforms, with hands-on experience in Informatica or Reltio. This role will involve managing a team of data engineers, architects, and quality experts to deliver high-performance, scalable, and governed MDM solutions that align with enterprise data strategy. To succeed in this role, the candidate must have strong MDM experience along with Data Governance, DQ, Data Cataloging implementation knowledge, hence the candidates must have minimum 6-8 years of core MDM technical experience for this role (Along with total experience in the range of 10-14 years) . Roles & Responsibilities Lead the implementation and optimization of MDM solutions using Informatica or Reltio platforms. Define and drive enterprise-wide MDM architecture, including IDQ, data stewardship, and metadata workflows. Match/Merge and Survivorship strategy and implementation experience D esign and delivery of MDM processes and data integrations using Unix, Python, and SQL. Collaborate with backend data engineering team and frontend custom UI team for strong integrations and a seamless enhanced user experience respectively Manage cloud-based infrastructure using AWS and Databricks to ensure scalability and performance. Coordinate with business and IT stakeholders to align MDM capabilities with organizational goals. Establish data quality metrics and monitor compliance using automated profiling and validation tools. Promote data governance and contribute to enterprise data modeling and approval workflow (DCRs). Ensure data integrity, lineage, and traceability across MDM pipelines and solutions. Provide mentorship and technical leadership to junior team members and ensure project delivery timelines. Lead custom UI design for better user experience on data stewardship Basic Qualifications and Experience Master’s degree with 8 - 10 years of experience in Business, Engineering, IT or related field OR Bachelor’s degree with 10 - 14 years of experience in Business, Engineering, IT or related field OR Diploma with 14 - 16 years of experience in Business, Engineering, IT or related field Functional Skills: Must-Have Skills: Deep knowledge of MDM tools (Informatica, Reltio) and data quality frameworks (IDQ) from configuring data assets to building end to end data pipelines and integrations for data mastering and orchestrations of ETL pipelines Very good understanding on reference data, hierarchy and its integration with MDM Hands on experience with custom workflows AVOS , Eclipse etc Strong experience with external data enrichment services like D&B, Address doctor etc Strong experience on match/merge and survivorship rules strategy and implementations Strong experience with group fields, cross reference data and UUIDs Strong understanding of AWS cloud services and Databricks architecture. Proficiency in Python, SQL, and Unix for data processing and orchestration. Experience with data modeling, governance, and DCR lifecycle management. Proven leadership and project management in large-scale MDM implementations. Able to implement end to end integrations including API based integrations, Batch integrations and Flat file based integrations Must have worked on atleast 3 end to end implementations of MDM Good-to-Have Skills: Experience with Tableau or PowerBI for reporting MDM insights. Exposure to Agile practices and tools (JIRA, Confluence). Prior experience in Pharma/Life Sciences. Understanding of compliance and regulatory considerations in master data. Professional Certifications Any MDM certification ( e.g. Informatica , Reltio etc ) Any Data Analysis certification (SQL) Any cloud certification (AWS or AZURE) Soft Skills: Strong analytical abilities to assess and improve master data processes and solutions. Excellent verbal and written communication skills, with the ability to convey complex data concepts clearly to technical and non-technical stakeholders. Effective problem-solving skills to address data-related issues and implement scalable solutions. Ability to work effectively with global, virtual teams EQUAL OPPORTUNITY STATEMENT Amgen is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status. We will ensure that individuals with disabilities are provided with reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

ABOUT AMGEN Amgen harnesses the best of biology and technology to fight the world’s toughest diseases, and make people’s lives easier, fuller and longer. We discover, develop, manufacture and deliver innovative medicines to help millions of patients. Amgen helped establish the biotechnology industry more than 40 years ago and remains on the cutting-edge of innovation, using technology and human genetic data to push beyond what’s known today. ABOUT THE ROLE Role Description We are seeking an MDM Associate Data Engineer with 2 –5 years of experience to support and enhance our enterprise MDM (Master Data Management) platforms using Informatica/Reltio. This role is critical in delivering high-quality master data solutions across the organization, utilizing modern tools like Databricks and AWS to drive insights and ensure data reliability. The ideal candidate will have strong SQL, data profiling, and experience working with cross-functional teams in a pharma environment. To succeed in this role, the candidate must have strong data engineering experience along with MDM knowledge, hence the candidates having only MDM experience are not eligible for this role. Candidate must have data engineering experience on technologies like (SQL, Python, PySpark , Databricks, AWS etc ), along with knowledge of MDM (Master Data Management) Roles & Responsibilities Analyze and manage customer master data using Reltio or Informatica MDM solutions. Perform advanced SQL queries and data analysis to validate and ensure master data integrity. Leverage Python, PySpark , and Databricks for scalable data processing and automation. Collaborate with business and data engineering teams for continuous improvement in MDM solutions. Implement data stewardship processes and workflows, including approval and DCR mechanisms. Utilize AWS cloud services for data storage and compute processes related to MDM. Contribute to metadata and data modeling activities. Track and manage data issues using tools such as JIRA and document processes in Confluence. Apply Life Sciences/Pharma industry context to ensure data standards and compliance. Basic Qualifications and Experience Master’s degree with 1 - 3 years of experience in Business, Engineering, IT or related field OR Bachelor’s degree with 2 - 5 years of experience in Business, Engineering, IT or related field OR Diploma with 6 - 8 years of experience in Business, Engineering, IT or related field Functional Skills: Must-Have Skills: Advanced SQL expertise and data wrangling. Strong experience in Python and PySpark for data transformation workflows. Strong e xperience with Databricks and AWS architecture. Must have k nowledge of MDM, data governance, stewardship, and profiling practices. In addition to above, candidates having e xperience with Informatica or Reltio MDM platforms will be preferred . Good-to-Have Skills: Experience with IDQ, data modeling and approval workflow/DCR. Background in Life Sciences/Pharma industries. Familiarity with project tools like JIRA and Confluence. Strong grip on data engineering concepts. Professional Certifications Any ETL certification ( e.g. Informatica) Any Data Analysis certification (SQL, Python, Databricks) Any cloud certification (AWS or AZURE) Soft Skills: Strong analytical abilities to assess and improve master data processes and solutions. Excellent verbal and written communication skills, with the ability to convey complex data concepts clearly to technical and non-technical stakeholders. Effective problem-solving skills to address data-related issues and implement scalable solutions. Ability to work effectively with global, virtual teams EQUAL OPPORTUNITY STATEMENT Amgen is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status. We will ensure that individuals with disabilities are provided with reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

Join Amgen's Mission to Serve Patients If you feel like you’re part of something bigger, it’s because you are. At Amgen, our shared mission—to serve patients—drives all that we do. It is key to our becoming one of the world’s leading biotechnology companies. We are global collaborators who achieve together—researching, manufacturing, and deliver ever-better products that reach over 10 million patients worldwide. It’s time for a career you can be proud of. Digital Product Manager/Content Curator Live What you will do Let’s do this. Let’s change the world. In this vital role We are seeking a detail-oriented and research-savvy Content Curator to support our enterprise Search Program within the pharmaceutical sector. This role is critical to improving how scientists, researchers, clinicians, and business teams discover relevant, accurate, and well-structured information across vast internal and external data sources. You will curate, classify, and optimize content to ensure it is accessible, contextual, and aligned with regulatory standards. Curate scientific, clinical, regulatory, and commercial content for use within internal search platforms. Sourcing and aggregating relevant content across various platforms. Ensure high-value content is properly tagged, described, and categorized using standard metadata and taxonomies. Identify and fill content gaps based on user needs and search behavior. Organizing and scheduling content publication to maintain consistency. Analyzing content performance and making data-driven decisions to optimize engagement Provide feedback and input on synonym lists, controlled vocabularies, and NLP enrichment tools Apply and help maintain consistent metadata standards, ontologies, and classification schemes (e.g., MeSH, SNOMED, MedDRA). Work with taxonomy and knowledge management teams to evolve tagging strategies and improve content discoverability. Capture and highlight the best content from a wide range of topics Stay up-to-date on best practices and make recommendations for content strategy Edit and optimize content for search engine optimization Perform quality assurance checks on all content before publication Identify and track metrics to measure the success of content curation efforts Review and curate content from a wide variety of categories with a focus Understanding of fundamental data structures and algorithms Understanding how to optimize content for search engines is important for visibility. Experience in identifying, organizing, and sharing content. Ability to clearly and concisely communicate complex information. Ability to analyze data and track the performance of content. Ability to quickly adapt to changing information landscapes and find new resources. A deep understanding of Google Cloud Platform services and technologies is crucial and will be an added advantage Check and update digital assets regularly and, if needed, modify their accessibility and security settings Investigate, secure, and properly document permission clearance to publish data, graphics, videos, and other media Develop and manage a system for storing and organizing digital material Convert collected assets to a different digital format and discard the material that is no longer relevant or needed Investigate new trends and tools connected with the generation and curation of digital material Basic Qualifications: Degree in Data Management, Mass communication and computer science & engineering preferred with 9-12 years of software development experience 5+ years of experience in (digital) content curation or a related position Excellent organizational and time-management skills. Ability to analyze data and derive insights for content optimization. Familiarity with metadata standards, taxonomy tools, and content management systems. Ability to interpret scientific or clinical content and structure it for digital platforms. Ability to analyze data and derive insights for content optimization. Exceptional written and verbal communication skills. Experience in Content Management Systems (CMS), SEO, Google Analytics, GXP Search Engine/ Solr Search, enterprise search platforms, data bricks Strong problem solving, analytical skills; Ability to learn quickly; Excellent communication and interpersonal skills Exceptional written and verbal communication skills. Excellent organizational and time-management skills. Preferred Qualifications: Experience with enterprise search platforms (e.g., Lucene, Elasticsearch, Coveo, Sinequa). Experience with GCP Cloud/AWS cloud /Azure Cloud Experience GXP Search Engine/ Solr Search Experience in Posgres SQL /Mongo DB SQL database, vector database for large language models, Databricks or RDS, Dynamo DB, S3 Experience in Agile software development methodologies Good to Have Skills Willingness to work on AI Applications Experience with popular large language models Experience with Langchain or llamaIndex framework for language models Experience with prompt engineering, model fine tuning Knowledge of NLP techniques for text analysis and sentiment analysis Soft Skills: Excellent analytical and troubleshooting skills. Strong verbal and written communication skills. Ability to work effectively with global teams. High degree of initiative and self-motivation. Team-oriented, with a focus on achieving team goals. Strong presentation and public speaking skills. Thrive What you can expect from us As we work to develop treatments that take care of others, we also work to care for our teammates’ professional and personal growth and well-being. In addition to the base salary, Amgen offers competitive and comprehensive Total Rewards Plans that are aligned with local industry standards. Apply now for a career that defies imagination In our quest to serve patients above all else, Amgen is the first to imagine, and the last to doubt. Join us. careers.amgen.com Amgen is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status. We will ensure that individuals with disabilities are provided with reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

ABOUT AMGEN Amgen harnesses the best of biology and technology to fight the world’s toughest diseases, and make people’s lives easier, fuller and longer. We discover, develop, manufacture and deliver innovative medicines to help millions of patients. Amgen helped establish the biotechnology industry more than 40 years ago and remains on the cutting-edge of innovation, using technology and human genetic data to push beyond what’s known today. ABOUT THE ROLE Role Description We are seeking an MDM Associate Data Engineer with 2 –5 years of experience to support and enhance our enterprise MDM (Master Data Management) platforms using Informatica/Reltio. This role is critical in delivering high-quality master data solutions across the organization, utilizing modern tools like Databricks and AWS to drive insights and ensure data reliability. The ideal candidate will have strong SQL, data profiling, and experience working with cross-functional teams in a pharma environment. To succeed in this role, the candidate must have strong data engineering experience along with MDM knowledge, hence the candidates having only MDM experience are not eligible for this role. Candidate must have data engineering experience on technologies like (SQL, Python, PySpark , Databricks, AWS etc ), along with knowledge of MDM (Master Data Management) Roles & Responsibilities Analyze and manage customer master data using Reltio or Informatica MDM solutions. Perform advanced SQL queries and data analysis to validate and ensure master data integrity. Leverage Python, PySpark , and Databricks for scalable data processing and automation. Collaborate with business and data engineering teams for continuous improvement in MDM solutions. Implement data stewardship processes and workflows, including approval and DCR mechanisms. Utilize AWS cloud services for data storage and compute processes related to MDM. Contribute to metadata and data modeling activities. Track and manage data issues using tools such as JIRA and document processes in Confluence. Apply Life Sciences/Pharma industry context to ensure data standards and compliance. Basic Qualifications and Experience Master’s degree with 1 - 3 years of experience in Business, Engineering, IT or related field OR Bachelor’s degree with 2 - 5 years of experience in Business, Engineering, IT or related field OR Diploma with 6 - 8 years of experience in Business, Engineering, IT or related field Functional Skills: Must-Have Skills: Advanced SQL expertise and data wrangling. Strong experience in Python and PySpark for data transformation workflows. Strong experience with Databricks and AWS architecture. Must have knowledge of MDM, data governance, stewardship, and profiling practices. In addition to above, candidates having experience with Informatica or Reltio MDM platforms will be preferred. Good-to-Have Skills: Experience with IDQ, data modeling and approval workflow/DCR. Background in Life Sciences/Pharma industries. Familiarity with project tools like JIRA and Confluence. Strong grip on data engineering concepts. Professional Certifications Any ETL certification ( e.g. Informatica) Any Data Analysis certification (SQL, Python, Databricks) Any cloud certification (AWS or AZURE) Soft Skills: Strong analytical abilities to assess and improve master data processes and solutions. Excellent verbal and written communication skills, with the ability to convey complex data concepts clearly to technical and non-technical stakeholders. Effective problem-solving skills to address data-related issues and implement scalable solutions. Ability to work effectively with global, virtual teams EQUAL OPPORTUNITY STATEMENT Amgen is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status. We will ensure that individuals with disabilities are provided with reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

About ProcDNA: ProcDNA is a global consulting firm. We fuse design thinking with cutting-edge tech to create game-changing Commercial Analytics and Technology solutions for our clients. We're a passionate team of 275+ across 6 offices, all growing and learning together since our launch during the pandemic. Here, you won't be stuck in a cubicle - you'll be out in the open water, shaping the future with brilliant minds. At ProcDNA, innovation isn't just encouraged, it's ingrained in our DNA. What we are looking for: As the Associate Engagement Lead, youll leverage data to unravel complexities, adept at devising strategic solutions that deliver tangible results for our clients. We are seeking an individual who not only possesses the requisite expertise but also thrives in the dynamic landscape of a fast-paced global firm. What youll do Design/implement complex and scalable enterprise data processing and BI reporting solutions. Design, build and optimize ETL pipelines or underlying code to enhance data warehouse systems. Work towards optimizing the overall costs incurred due to system infrastructure, operations, change management etc. Deliver end-to-end data solutions across multiple infrastructures and applications Coach, mentor, and manage a team of junior associates to help them (plan tasks effectively and more). Demonstrate overall client stakeholder and project management skills (drive client meetings, creating realistic project timelines, planning and managing individual and team's task). Assist senior leadership in business development proposals focused on technology by providing SME support. Build strong partnerships with other teams to create valuable solutions Stay up to date with latest industry trends. Must have 3- 5 years of experience in designing/building data warehouses and BI reporting with a B.Tech/B.E background Prior experience of managing client stakeholders and junior team members. A background in managing Life Science clients is mandatory. Proficient in big data processing and cloud technologies like AWS, Azure, Databricks, PySpark, Hadoop etc. Along with proficiency in Informatica is a plus. Extensive hands-on experience in working with cloud data warehouses like Redshift, Azure, Snowflake etc. And Proficiency in SQL, Data modelling, designing ETL pipelines is a must. Intermediate to expert-level proficiency in Python. Proficiency in either Tableau, PowerBI, Qlik is a must. Should have worked on large datasets and complex data modelling projects. Prior experience in business development activities is mandatory. Domain knowledge of the pharma/healthcare landscape is mandatory.

TRUGlobal is Hiring!! Skills: ( Hands on Experience on below skills Min 7 to 8 years ) MS Azure Data Bricks Data Factory Power BI Overall Exp : 10+ years NP : Immediate to should join in 15-20 days Location : Bangalore ( WFO ) Interested candidates share me you're updated resume to pooja.v@truglobal.com

Job Summary We are looking for a Data Modeler to design and optimize data models supporting automotive industry analytics and reporting. The ideal candidate will work with SAP ECC as a primary data source, leveraging Databricks and Azure Cloud to design scalable and efficient data architectures. This role involves developing logical and physical data models, ensuring data consistency, and collaborating with data engineers, business analysts, and domain experts to enable high-quality analytics solutions. Key Responsibilities: 1. Data Modeling & Architecture: Design and maintain conceptual, logical, and physical data models for structured and unstructured data. 2. SAP ECC Data Integration: Define data structures for extracting, transforming, and integrating SAP ECC data into Azure Databricks. 3. Automotive Domain Modeling: Develop and optimize industry-specific data models covering customer, vehicle, material, and location data. 4. Databricks & Delta Lake Optimization: Design efficient data models for Delta Lake storage and Databricks processing. 5. Performance Tuning: Optimize data structures, indexing, and partitioning strategies for performance and scalability. 6. Metadata & Data Governance: Implement data standards, data lineage tracking, and governance frameworks to maintain data integrity and compliance. 7. Collaboration: Work closely with business stakeholders, data engineers, and data analysts to align models with business needs. 8. Documentation: Create and maintain data dictionaries, entity-relationship diagrams (ERDs), and transformation logic documentation. Skills & Qualifications Data Modeling Expertise: Strong experience in dimensional modeling, 3NF, and hybrid modeling approaches. Automotive Industry Knowledge: Understanding of customer, vehicle, material, and dealership data models. SAP ECC Data Structures: Hands-on experience with SAP ECC tables, business objects, and extraction processes. Azure & Databricks Proficiency: Experience working with Azure Data Lake, Databricks, and Delta Lake for large-scale data processing. SQL & Database Management: Strong skills in SQL, T-SQL, or PL/SQL, with a focus on query optimization and indexing. ETL & Data Integration: Experience collaborating with data engineering teams on data transformation and ingestion processes. Data Governance & Quality: Understanding of data governance principles, lineage tracking, and master data management (MDM). Strong Documentation Skills: Ability to create ER diagrams, data dictionaries, and transformation rules. Preferred Qualifications Experience with data modeling tools such as Erwin, Lucidchart, or DBT. Knowledge of Databricks Unity Catalog and Azure Synapse Analytics. Familiarity with Kafka/Event Hub for real-time data streaming. Exposure to Power BI/Tableau for data visualization and reporting.

Senior. Snowflake Data Engineer Experience- 7+ Years Location- Bangalore Location, Work from the Office, Notice period- Immediate only Mandatory skills- Data Engineer, Snowflake, Data bricks

Job Description: Company Introduction Join Nitor Infotech, an Ascendion company, where we harness data to drive impactful solutions. Our innovative team is dedicated to excellence in data processing and analytics, making a significant difference in the retail domain. Be part of a collaborative environment that values your expertise and contributions. Job Overview We are seeking an ETL Developer with expertise in Advanced SQL, Python, and Shell Scripting. This full-time position reports to the Data Engineering Manager and is available in a hybrid work model. This is a replacement position within the SRAI - EYC Implementation team. Key Responsibilities Design and develop ETL processes for data extraction, transformation, and loading. Utilize Advanced SQL for data processing and analysis. Implement data processing solutions using Python and Shell Scripting. Collaborate with cross-functional teams to understand data requirements. Maintain and optimize data pipelines for performance and reliability. Provide insights and analysis to support business decisions. Ensure data quality and integrity throughout the ETL process. Stay updated on industry trends and best practices in data engineering. Must-Have Skills and Qualifications 7-8 years of experience as an ETL Developer. Expertise in Advanced SQL for data manipulation and analysis. Proficient in Python and Shell Scripting. Foundational understanding of Databricks and Power BI. Strong logical problem-solving skills. Experience in data processing and transformation. Understanding of the retail domain is a plus. Good-to-Have Skills and Qualifications Familiarity with cloud data platforms (AWS, Azure). Knowledge of data warehousing concepts. Experience with data visualization tools. Understanding of Agile methodologies. What We Offer Competitive salary and comprehensive benefits package. Opportunities for professional growth and advancement. Collaborative and innovative work environment. Flexible work arrangements. Impactful work that drives industry change. DEI Statement At Nitor Infotech, we embrace diversity and inclusion. We actively foster an environment where all voices are heard and valued. ISMS Statement Nitor Infotech maintains ISO 27001 certification. All employees must adhere to our information security policies.

We are looking for a highly skilled Data Engineer in Azure Databricks to join our team. The ideal candidate should have experience, primarily in Databricks and Python. Company w. https://www.ecomstreet.com/ Experience 3+ years Location Greater Noida West near Gaur City Mall We are looking for immediate joiners. If interested the please revert with your updated resume on malti@ecommstreet.com - Candidate must have minimum 3+ years of hands on experience in Databricks platform. - Analyze business requirements and translate them into technical specifications for data pipelines, data lakes, and analytical processes on the Databricks platform. - Work as part of a team to develop Cloud Data and Analytics solutions. - Participate in development of cloud data warehouses, data as a service, business intelligence solutions. - Good understanding of Azure Databricks platform, its cluster and can build data analytics solutions to support the required performance & scale. - The candidate should be able to design, develop, and maintain data pipelines and data streams. - The candidate should also be able to extract and transform data, especially unstructured data, across various data processing layers using Databricks, Python. - Familiarity with tools such as Jira, Slack and GitHub. - Candidate should write complex queries for data processing. Regards Malti Rawat HRBP - Recruitment m.+91 9811767269 e. malti@ecommstreet.com w. https://www.ecomstreet.com/

Warm Greetings from SP Staffing Services Private Limited!! We have an urgent opening with our CMMI Level 5 client for the below position. Please send your update profile if you are interested. Relevant Experience: 8 - 24 Yrs Location- Pan India Job Description : - Candidates should have minimum 2 Years hands on experience as Azure databricks Architect If interested please forward your updated resume to sankarspstaffings@gmail.com / Sankar@spstaffing.in With Regards, Sankar G Sr. Executive - IT Recruitment

Warm Greetings from SP Staffing Services Private Limited!! We have an urgent opening with our CMMI Level 5 client for the below position. Please send your update profile if you are interested. Relevant Experience: 8 Yrs - 18 Yrs Location- Pan India Job Description : - Experience in Synapase with pyspark Knowledge of Big Data pipelinesData Engineering Working Knowledge on MSBI stack on Azure Working Knowledge on Azure Data factory Azure Data Lake and Azure Data lake storage Handson in Visualization like PowerBI Implement endend data pipelines using cosmosAzure Data factory Should have good analytical thinking and Problem solving Good communication and coordination skills Able to work as Individual contributor Requirement Analysis CreateMaintain and Enhance Big Data Pipeline Daily status reporting interacting with Leads Version controlADOGIT CICD Marketing Campaign experiences Data Platform Product telemetry Analytical thinking Data Validation of the new streams Data quality check of the new streams Monitoring of data pipeline created in Azure Data factory updating the Tech spec and wiki page for each implementation of pipeline Updating ADO on daily basis If interested please forward your updated resume to sankarspstaffings@gmail.com / Sankar@spstaffing.in With Regards, Sankar G Sr. Executive - IT Recruitment

Warm Greetings from SP Staffing Services Private Limited!! We have an urgent opening with our CMMI Level 5 client for the below position. Please send your update profile if you are interested. Relevant Experience: 8 Yrs - 18 Yrs Location- Pan India Job Description : - Mandatory Skill: Azure ADB with Azure Data Lake Lead the architecture design and implementation of advanced analytics solutions using Azure Databricks Fabric The ideal candidate will have a deep understanding of big data technologies data engineering and cloud computing with a strong focus on Azure Databricks along with Strong SQL Work closely with business stakeholders and other IT teams to understand requirements and deliver effective solutions Oversee the endtoend implementation of data solutions ensuring alignment with business requirements and best practices Lead the development of data pipelines and ETL processes using Azure Databricks PySpark and other relevant tools Integrate Azure Databricks with other Azure services eg Azure Data Lake Azure Synapse Azure Data Factory and onpremise systems Provide technical leadership and mentorship to the data engineering team fostering a culture of continuous learning and improvement Ensure proper documentation of architecture processes and data flows while ensuring compliance with security and governance standards Ensure best practices are followed in terms of code quality data security and scalability Stay updated with the latest developments in Databricks and associated technologies to drive innovation Essential Skills Strong experience with Azure Databricks including cluster management notebook development and Delta Lake Proficiency in big data technologies eg Hadoop Spark and data processing frameworks eg PySpark Deep understanding of Azure services like Azure Data Lake Azure Synapse and Azure Data Factory Experience with ETLELT processes data warehousing and building data lakes Strong SQL skills and familiarity with NoSQL databases Experience with CICD pipelines and version control systems like Git Knowledge of cloud security best practices Soft Skills Excellent communication skills with the ability to explain complex technical concepts to nontechnical stakeholders Strong problemsolving skills and a proactive approach to identifying and resolving issues Leadership skills with the ability to manage and mentor a team of data engineers Experience Demonstrated expertise of 8 years in developing data ingestion and transformation pipelines using DatabricksSynapse notebooks and Azure Data Factory Solid understanding and handson experience with Delta tables Delta Lake and Azure Data Lake Storage Gen2 Experience in efficiently using Auto Loader and Delta Live tables for seamless data ingestion and transformation Proficiency in building and optimizing query layers using Databricks SQL Demonstrated experience integrating Databricks with Azure Synapse ADLS Gen2 and Power BI for endtoend analytics solutions Prior experience in developing optimizing and deploying Power BI reports Familiarity with modern CICD practices especially in the context of Databricks and cloudnative solutions If interested please forward your updated resume to sankarspstaffings@gmail.com / Sankar@spstaffing.in With Regards, Sankar G Sr. Executive - IT Recruitment

Looking for a strong ML engineer with end to end exposure in ML lifecycle , Azure etc Strong background in data science and machine learning, particularly in anomaly detection. Experience in deploying ML models to production in cloud environments.

Overview We are PepsiCo PepsiCo is one of the world's leading food and beverage companies with more than $79 Billion in Net Revenue and a global portfolio of diverse and beloved brands. We have a complementary food and beverage portfolio that includes 22 brands that each generate more than $1 Billion in annual retail sales. PepsiCo's products are sold in more than 200 countries and territories around the world. PepsiCo's strength is its people. We are over 250,000 game changers, mountain movers and history makers, located around the world, and united by a shared set of values and goals. We believe that acting ethically and responsibly is not only the right thing to do, but also the right thing to do for our business. At PepsiCo, we aim to deliver top-tier financial performance over the long term by integrating sustainability into our business strategy, leaving a positive imprint on society and the environment. We call this Winning with Purpose . For more information on PepsiCo and the opportunities it holds, visitwww.pepsico.com. Data Science Team works in developing Machine Learning (ML) and Artificial Intelligence (AI) projects. Specific scope of this role is to develop ML solution in support of ML/AI projects using big analytics toolsets in a CI/CD environment. Analytics toolsets may include DS tools/Spark/Databricks, and other technologies offered by Microsoft Azure or open-source toolsets. This role will also help automate the end-to-end cycle with Azure Machine Learning Services and Pipelines. PepsiCo Data Analytics & AI Overview With data deeply embedded in our DNA, PepsiCo Data, Analytics and AI (DA&AI) transforms data into consumer delight. We build and organize business-ready data that allows PepsiCos leaders to solve their problems with the highest degree of confidence. Our platform of data products and services ensures data is activated at scale. This enables new revenue streams, deeper partner relationships, new consumer experiences, and innovation across the enterprise. The Data Science Pillar in DA&AI will be the organization where Data Scientist and ML Engineers report to in the broader D+A Organization. Also DS will lead, facilitate and collaborate on the larger DS community in PepsiCo. DS will provide the talent for the development and support of DS component and its life cycle within DA&AIProducts. And will support pre-engagement activities as requested and validated by the prioritization framework of DA&AI. Data ScientistHyderabad and Gurugram You will be part of a collaborative interdisciplinary team around data, where you will be responsible of our continuous delivery of statistical/ML models. You will work closely with process owners, product owners and final business users. This will provide you the correct visibility and understanding of criticality of your developments. Responsibilities Delivery of key Advanced Analytics/Data Science projects within time and budget, particularly around DevOps/MLOps and Machine Learning models in scope Active contributor to code & development in projects and services Partner with data engineers to ensure data access for discovery and proper data is prepared for model consumption. Partner with ML engineers working on industrialization. Communicate with business stakeholders in the process of service design, training and knowledge transfer. Support large-scale experimentation and build data-driven models. Refine requirements into modelling problems. Influence product teams through data-based recommendations. Research in state-of-the-art methodologies. Create documentation for learnings and knowledge transfer. Create reusable packages or libraries. Ensure on time and on budget delivery which satisfies project requirements, while adhering to enterprise architecture standards Leverage big data technologies to help process data and build scaled data pipelines (batch to real time) Implement end-to-end ML lifecycle with Azure Machine Learning and Azure Pipelines Automate ML models deployments Qualifications BE/B.Tech in Computer Science, Maths, technical fields. Overall 5+ years of experience working as a Data Scientist. 4+ years experience building solutions in the commercial or in the supply chain space. 4+ years working in a team to deliver production level analytic solutions. Fluent in git (version control). Understanding of Jenkins, Docker are a plus. Fluent in SQL syntaxis. 4+ years experience in Statistical/ML techniques to solve supervised (regression, classification) and unsupervised problems. 4+ years experience in developing business problem related statistical/ML modeling with industry tools with primary focus on Python or Pyspark development. Skills, Abilities, Knowledge Data Science Hands on experience and strong knowledge of building machine learning models supervised and unsupervised models. Knowledge of Time series/Demand Forecast models is a plus Programming Skills Hands-on experience in statistical programming languages like Python , Pyspark and database query languages likeSQL Statistics Good applied statistical skills, including knowledge of statistical tests, distributions, regression, maximum likelihood estimators Cloud (Azure) Experience in Databricks and ADF is desirable Familiarity with Spark, Hive, Pigis an added advantage Business storytelling and communicating data insights in business consumable format. Fluent in one Visualization tool. Strong communications and organizational skills with the ability to deal with ambiguity while juggling multiple priorities Experience with Agile methodology for team work and analytics product creation.