About Oportun Oportun (Nasdaq: OPRT) is a mission-driven fintech that puts its 2.0 million members' financial goals within reach. With intelligent borrowing, savings, and budgeting capabilities, Oportun empowers members with the confidence to build a better financial future. Since inception, Oportun has provided more than $16.6 billion in responsible and affordable credit, saved its members more than $2.4 billion in interest and fees, and helped its members save an average of more than $1,800 annually. Oportun has been certified as a Community Development Financial Institution (CDFI) since 2009. WORKING AT OPORTUN Working at Oportun means enjoying a differentiated experience of being part of a team that fosters a diverse, equitable and inclusive culture where we all feel a sense of belonging and are encouraged to share our perspectives. This inclusive culture is directly connected to our organization's performance and ability to fulfill our mission of delivering affordable credit to those left out of the financial mainstream. We celebrate and nurture our inclusive culture through our employee resource groups. Position Overview As a Sr. Data Engineer at Oportun, you will be a key member of our team, responsible for designing, developing, and maintaining sophisticated software / data platforms in achieving the charter of the engineering group. Your mastery of a technical domain enables you to take up business problems and solve them with a technical solution. With your depth of expertise and leadership abilities, you will actively contribute to architectural decisions, mentor junior engineers, and collaborate closely with cross-functional teams to deliver high-quality, scalable software solutions that advance our impact in the market. This is a role where you will have the opportunity to take up responsibility in leading the technology effort – from technical requirements gathering to final successful delivery of the product - for large initiatives (cross-functional and multi-month-long projects). Responsibilities Data Architecture and Design: Lead the design and implementation of scalable, efficient, and robust data architectures to meet business needs and analytical requirements. Collaborate with stakeholders to understand data requirements, build subject matter expertise, and define optimal data models and structures. Data Pipeline Development And Optimization Design and develop data pipelines, ETL processes, and data integration solutions for ingesting, processing, and transforming large volumes of structured and unstructured data. Optimize data pipelines for performance, reliability, and scalability. Database Management And Optimization Oversee the management and maintenance of databases, data warehouses, and data lakes to ensure high performance, data integrity, and security. Implement and manage ETL processes for efficient data loading and retrieval. Data Quality And Governance Establish and enforce data quality standards, validation rules, and data governance practices to ensure data accuracy, consistency, and compliance with regulations. Drive initiatives to improve data quality and documentation of data assets. Mentorship And Leadership Provide technical leadership and mentorship to junior team members, assisting in their skill development and growth. Lead and participate in code reviews, ensuring best practices and high-quality code. Collaboration And Stakeholder Management Collaborate with cross-functional teams, including data scientists, analysts, and business stakeholders, to understand their data needs and deliver solutions that meet those needs. Communicate effectively with non-technical stakeholders to translate technical concepts into actionable insights and business value. Performance Monitoring And Optimization Implement monitoring systems and practices to track data pipeline performance, identify bottlenecks, and optimize for improved efficiency and scalability. Common Requirements You have a strong understanding of a business or system domain with sufficient knowledge & expertise around the appropriate metrics and trends. You collaborate closely with product managers, designers, and fellow engineers to understand business needs and translate them into effective solutions. You provide technical leadership and expertise, guiding the team in making sound architectural decisions and solving challenging technical problems. Your solutions anticipate scale, reliability, monitoring, integration, and extensibility. You conduct code reviews and provide constructive feedback to ensure code quality, performance, and maintainability. You mentor and coach junior engineers, fostering a culture of continuous learning, growth, and technical excellence within the team. You play a significant role in the ongoing evolution and refinement of current tools and applications used by the team, and drive adoption of new practices within your team. You take ownership of (customer) issues, including initial troubleshooting, identification of root cause and issue escalation or resolution, while maintaining the overall reliability and performance of our systems. You set the benchmark for responsiveness and ownership and overall accountability of engineering systems. You independently drive and lead multiple features, contribute to (a) large project(s) and lead smaller projects. You can orchestrate work that spans multiples engineers within your team and keep all relevant stakeholders informed. You support your lead/EM about your work and that of the team, that they need to share with the stakeholders, including escalation of issues Qualifications Bachelor's or Master's degree in Computer Science, Data Science, or a related field. 5+ years of experience in data engineering, with a focus on data architecture, ETL, and database management. Proficiency in programming languages like Python/PySpark and Java or Scala Expertise in big data technologies such as Hadoop, Spark, Kafka, etc. In-depth knowledge of SQL and experience with various database technologies (e.g., PostgreSQL, MariaDB, NoSQL databases). Experience and expertise in building complex end-to-end data pipelines. Experience with orchestration and designing job schedules using the CICD tools like Jenkins, Airflow or Databricks Ability to work in an Agile environment (Scrum, Lean, Kanban, etc) Ability to mentor junior team members. Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and their data services (e.g., AWS Redshift, S3, Azure SQL Data Warehouse). Strong leadership, problem-solving, and decision-making skills. Excellent communication and collaboration abilities. Familiarity or certification in Databricks is a plus. We are proud to be an Equal Opportunity Employer and consider all qualified applicants for employment opportunities without regard to race, age, color, religion, gender, national origin, disability, sexual orientation, veteran status or any other category protected by the laws or regulations in the locations where we operate. California applicants can find a copy of Oportun's CCPA Notice here: https://oportun.com/privacy/california-privacy-notice/. We will never request personal identifiable information (bank, credit card, etc.) before you are hired. We do not charge you for pre-employment fees such as background checks, training, or equipment. If you think you have been a victim of fraud by someone posing as us, please report your experience to the FBI’s Internet Crime Complaint Center (IC3). Show more Show less

Hello Connections , Exciting Opportunity Alert !! We're on the hunt for passionate individuals to join our dynamic team as Data Engineer Job Profile : Data Engineers Experience : Minimum 3 to Maximum 8 Yrs of exp Location : Chennai / Hyderabad / Bangalore / Gurgaon / Pune Mandatory Skills : Big Data | Hadoop | SCALA | spark | spark Sql | Hive Qualification : B.TECH / B.E / MCA / Computer Science Background - Any Specification How to Apply? Send your CV to: sipriyar@sightspectrum.in Contact Number - 6383476138 Don't miss out on this amazing opportunity to accelerate your professional career! #bigdata #dataengineer #hadoop #spark #python #hive #pysaprk

About Company: One of the cloud and data analytics company that empowers businesses to unlock insights and drive innovation through modern data solutions Role: Data Engineer Experience: 5 - 9 Years Location: Chennai & Hyderabad Notice Period: Immediate Joiner - 60 Days Roles and Responsibilities Bachelor's degree in Computer Science, Engineering, or a related field. 5+ years of experience in data engineering or a related role. Proficiency in programming languages such as Python, Java, or Scala, and scripting languages like SQL. Experience with big data technologies and ETL processes. Knowledge of cloud services (AWS, Azure, GCP) and their data-related services. Familiarity with data modeling, data warehousing, and building high-volume data pipelines. Understanding of distributed systems and microservices architecture. Experience with source control tools like Git, and CI/CD practices. Strong problem-solving skills and ability to work independently. Excellent communication and collaboration skills. Mandate Skillset - Python,Pyspark,SQL,Data bricks,AWS

Senior Analyst – Data Engineer - Deloitte Technology - Deloitte Support Services India Private Limited Do you thrive on developing creative and innovative insights to solve complex challenges? Want to work on next-generation, cutting-edge products and services that deliver outstanding value and that are global in vision and scope? Work with premier thought leaders in your field? Work for a world-class organization that provides an exceptional career experience with an inclusive and collaborative culture? Work you’ll do Seeking a candidate with extensive experience on designing, delivering and maintaining implementations of solutions in the cloud, specifically Microsoft Azure. This candidate should also possess strong cross-discipline communication skills, strong analytical aptitude with critical thinking, a solid understanding of how data would translate into reporting / dashboarding capabilities, and the tools and platforms that support them. Responsibilities Role Specific Designing a well-structured data model using methodologies (e.g., Kimball or Inmon) that accurately represents the business requirements, ensures data integrity and minimizes redundancies. Developing and implementing data pipelines to extract, transform, and load (ETL) data from various sources into Azure data services. This includes using Azure Data Factory, Azure Databricks, or other tools to orchestrate data workflows and data movement. Build, Test and Run of data assets tied to tasks and user stories from the Azure DevOps instance of Enterprise Data & Analytics. Bring a level of technical expertise of the Big Data space that contributes to the strategic roadmaps for Enterprise Data Architecture, Global Data Cloud Architecture, and Global Business Intelligence Architecture, as well contributes to the development of the broader Enterprise Data & Analytics Engineering community Actively participate in regularly scheduled contact calls to transparently review the status of in-flight projects, priorities of backlog projects, and review adoption of previous deliveries from Enterprise Data & Analytics with the Data Insights team. Handle break fixes and participate in a rotational on-call schedule. On-call includes monitoring of scheduled jobs and ETL pipelines. Actively participate in team meetings to transparently review the status of in-flight projects and their progress. Follow standard practice and frameworks on each project from development, to testing and then productionizing, each within the appropriate environment laid out by Data Architecture. Challenge’s self and others to make an impact that matters and help team connect their contributions with broader purpose. Sets expectations to the team, aligns the work based on the strengths and competencies, and challenges them to raise the bar while providing the support. Extensive knowledge of multiple technologies, tools, and processes to improve the design and architecture of the assigned applications. Knowledge Sharing / Documentation Contribute to, produce, and maintain processes, procedures, operational and architectural documentation. Change Control - ensure compliance with Processes and adherence to standards and documentation. Work with Deloitte Technology leadership and service teams in reviewing documentation and aligning KPIs to critical steps in our service operations. Active participation in ongoing training within BI space. The team At Deloitte, we’re all about collaboration. And nowhere is this more apparent than among our 2,000-strong internal services team. With our combined specialist skills, we provide all the essential support and advice our client-facing colleagues need, right across the firm. This enables them to focus all of their efforts on delivering the best service possible to their clients. Covering seven distinct areas; Human Resources, Clients & Industries, Finance & Legal, Practice Support Services, Quality & Risk Services, IT Services, and Workplace Services & Real Estate, together we live, breathe and deliver the Deloitte experience. Location: Hyderabad Work shift Timings: 11 AM to 8 PM Qualifications Bachelor of Engineering/ Bachelor of Technology 3-6 years of broad-based IT experience with technical knowledge of Microsoft SQL Server, Azure SQL Data Warehouse, Azure Data Lake Store, Azure Data Factory Demonstrated experience in Apache Framework (Spark, Scala, etc.) Well versed in SQL and comfortable in scripting using Python or similar language. First Month Critical Outcomes: Absorb strategic projects from the backlog and complete the related Azure SQL Data Warehouse Development work. Inspect existing run-state SQL Server databases and Azure SQL Data Warehouses and identify optimizations for potential development. Deliver new databases assigned as needed. Integration to on-call rotation (First 90 days). Contribute to legacy content and architecture migration to data lake (First 90 days). Delivery of first 2 data ingestion pipelines to include ingestion, QA and automation using Azure Big Data tools (First 90 days). Ability to document all work following standard documentation practices set forth by Data Governance (First 90 days). How you’ll grow At Deloitte, we’ve invested a great deal to create a rich environment in which our professionals can grow. We want all our people to develop in their own way, playing to their own strengths as they hone their leadership skills. And, as a part of our efforts, we provide our professionals with a variety of learning and networking opportunities—including exposure to leaders, sponsors, coaches, and challenging assignments—to help accelerate their careers along the way. No two people learn in exactly the same way. So, we provide a range of resources including live classrooms, team-based learning, and eLearning. DU: The Leadership Center in India, our state-of-the-art, world-class learning Center in the Hyderabad offices is an extension of the Deloitte University (DU) in Westlake, Texas, and represents a tangible symbol of our commitment to our people’s growth and development. Explore DU: The Leadership Center in India Benefits At Deloitte, we know that great people make a great organization. We value our people and offer employees a broad range of benefits. Learn more about what working at Deloitte can mean for you. Deloitte’s culture Our positive and supportive culture encourages our people to do their best work every day. We celebrate individuals by recognizing their uniqueness and offering them the flexibility to make daily choices that can help them to be healthy, centered, confident, and aware. We offer well-being programs and are continuously looking for new ways to maintain a culture that is inclusive, invites authenticity, leverages our diversity, and where our people excel and lead healthy, happy lives. Learn more about Life at Deloitte. Corporate citizenship Deloitte is led by a purpose: to make an impact that matters. This purpose defines who we are and extends to relationships with our clients, our people and our communities. We believe that business has the power to inspire and transform. We focus on education, giving, skill-based volunteerism, and leadership to help drive positive social impact in our communities. Learn more about Deloitte’s impact on the world. #EAG-Technology Recruiting tips From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. Check out recruiting tips from Deloitte recruiters. Benefits At Deloitte, we know that great people make a great organization. We value our people and offer employees a broad range of benefits. Learn more about what working at Deloitte can mean for you. Our people and culture Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ideas and perspectives, and bring more creativity and innovation to help solve our clients' most complex challenges. This makes Deloitte one of the most rewarding places to work. Our purpose Deloitte’s purpose is to make an impact that matters for our people, clients, and communities. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities. Professional development From entry-level employees to senior leaders, we believe there’s always room to learn. We offer opportunities to build new skills, take on leadership opportunities and connect and grow through mentorship. From on-the-job learning experiences to formal development programs, our professionals have a variety of opportunities to continue to grow throughout their career. Requisition code: 304653

You Lead the Way. We've Got Your Back. With the right backing, people and businesses have the power to progress in incredible ways. When you join Team Amex, you become part of a global and diverse community of colleagues with an unwavering commitment to back our customers, communities, and each other. Here, you'll learn and grow as we help you create a career journey that's unique and meaningful to you with benefits, programs, and flexibility that support you personally and professionally. At American Express, you'll be recognized for your contributions, leadership, and impact—every colleague has the opportunity to share in the company's success. Together, we'll win as a team, striving to uphold our company values and powerful backing promise to provide the world's best customer experience every day. And we'll do it with the utmost integrity, and in an environment where everyone is seen, heard and feels like they belong. Join Team Amex and let's lead the way together. American Express has embarked on an exciting transformation driven by an energetic new team of high performers. This is a great opportunity to join the Customer Marketing organization within American Express Technologies and become a driver of this exciting journey. We are looking for a highly skilled and experienced Senior Engineer with a history of building Bigdata, GCP Cloud, Python and Spark applications. The Senior Engineer will play a crucial role in designing, implementing, and optimizing data solutions to support our organization's data-driven initiatives. This role requires expertise in data engineering, strong problem-solving abilities, and a collaborative mindset to work effectively with various stakeholders. Joining the Enterprise Marketing team, this role will be focused on the delivery of innovative solutions to satisfy the needs of our business. As an agile team we work closely with our business partners to understand what they require, and we strive to continuously improve as a team. We pride ourselves on a culture of kindness and positivity, and a continuous focus on supporting colleague development to help you achieve your career goals. We lead with integrity, and we emphasize work/life balance for all of our teammates. How will you make an impact in this role? There are hundreds of opportunities to make your mark on technology and life at American Express. Here's just some of what you'll be doing: As a part of our team, you will be developing innovative, high quality, and robust operational engineering capabilities. Develop software in our technology stack which is constantly evolving but currently includes Big data, Spark, Python, Scala, GCP, Adobe Suit ( like Customer Journey Analytics ). Work with Business partners and stakeholders to understand functional requirements, architecture dependencies, and business capability roadmaps. Create technical solution designs to meet business requirements. Define best practices to be followed by team. Taking your place as a core member of an Agile team driving the latest development practices Identify and drive reengineering opportunities, and opportunities for adopting new technologies and methods. Suggest and recommend solution architecture to resolve business problems. Perform peer code review and participate in technical discussions with the team on the best solutions possible. As part of our diverse tech team, you can architect, code and ship software that makes us an essential part of our customers' digital lives. Here, you can work alongside talented engineers in an open, supportive, inclusive environment where your voice is valued, and you make your own decisions on what tech to use to solve challenging problems. American Express offers a range of opportunities to work with the latest technologies and encourages you to back the broader engineering community through open source. And because we understand the importance of keeping your skills fresh and relevant, we give you dedicated time to invest in your professional development. Find your place in technology of #TeamAmex. Minimum Qualifications : BS or MS degree in computer science, computer engineering, or other technical discipline, or equivalent work experience. 8+ years of hands-on software development experience with Big Data & Analytics solutions – Hadoop Hive, Spark, Scala, Hive, Python, shell scripting, GCP Cloud Big query, Big Table, Airflow. Working knowledge of Adobe suit like Adobe Experience Platform, Adobe Customer Journey Analytics Proficiency in SQL and database systems, with experience in designing and optimizing data models for performance and scalability. Design and development experience with Kafka, Real time ETL pipeline, API is desirable. Experience in designing, developing, and optimizing data pipelines for large-scale data processing, transformation, and analysis using Big Data and GCP technologies. Certifications in cloud platform (GCP Professional Data Engineer) is a plus. Understanding of distributed (multi-tiered) systems, data structures, algorithms & Design Patterns. Strong Object-Oriented Programming skills and design patterns. Experience with CICD pipelines, Automated test frameworks, and source code management tools (XLR, Jenkins, Git, Maven). Good knowledge and experience with configuration management tools like GitHub Ability to analyze complex data engineering problems, propose effective solutions, and implement them effectively. Looks proactively beyond the obvious for continuous improvement opportunities. Communicates effectively with product and cross functional team. Willingness to learn new technologies and leverage them to their optimal potential. Understanding of various SDLC methodologies, familiarity with Agile & scrum ceremonies. We back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones' physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally: Competitive base salaries Bonus incentives Support for financial-well-being and retirement Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location) Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need Generous paid parental leave policies (depending on your location) Free access to global on-site wellness centers staffed with nurses and doctors (depending on location) Free and confidential counseling support through our Healthy Minds program Career development and training opportunities American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law. Offer of employment with American Express is conditioned upon the successful completion of a background verification check, subject to applicable laws and regulations.

Description Are you passionate about data? Does the prospect of dealing with massive volumes of data excite you? Do you want to build data engineering solutions that process billions of records a day in a scalable fashion using AWS technologies? Do you want to create the next-generation tools for intuitive data access? If so, Amazon Finance Technology (FinTech) is for you! FinTech is seeking a Data Engineer to join the team that is shaping the future of the finance data platform. The team is committed to building the next generation big data platform that will be one of the world's largest finance data warehouse to support Amazon's rapidly growing and dynamic businesses, and use it to deliver the BI applications which will have an immediate influence on day-to-day decision making. Amazon has culture of data-driven decision-making, and demands data that is timely, accurate, and actionable. Our platform serves Amazon's finance, tax and accounting functions across the globe. As a Data Engineer, you should be an expert with data warehousing technical components (e.g. Data Modeling, ETL and Reporting), infrastructure (e.g. hardware and software) and their integration. You should have deep understanding of the architecture for enterprise level data warehouse solutions using multiple platforms (RDBMS, Columnar, Cloud). You should be an expert in the design, creation, management, and business use of large data-sets. You should have excellent business and communication skills to be able to work with business owners to develop and define key business questions, and to build data sets that answer those questions. The candidate is expected to be able to build efficient, flexible, extensible, and scalable ETL and reporting solutions. You should be enthusiastic about learning new technologies and be able to implement solutions using them to provide new functionality to the users or to scale the existing platform. Excellent written and verbal communication skills are required as the person will work very closely with diverse teams. Having strong analytical skills is a plus. Above all, you should be passionate about working with huge data sets and someone who loves to bring data-sets together to answer business questions and drive change. Our ideal candidate thrives in a fast-paced environment, relishes working with large transactional volumes and big data, enjoys the challenge of highly complex business contexts (that are typically being defined in real-time), and, above all, is a passionate about data and analytics. In this role you will be part of a team of engineers to create world's largest financial data warehouses and BI tools for Amazon's expanding global footprint. Key job responsibilities Design, implement, and support a platform providing secured access to large datasets. Interface with tax, finance and accounting customers, gathering requirements and delivering complete BI solutions. Model data and metadata to support ad-hoc and pre-built reporting. Own the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards, etc. to drive key business decisions. Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation. Tune application and query performance using profiling tools and SQL. Analyze and solve problems at their root, stepping back to understand the broader context. Learn and understand a broad range of Amazon’s data resources and know when, how, and which to use and which not to use. Keep up to date with advances in big data technologies and run pilots to design the data architecture to scale with the increased data volume using AWS. Continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for datasets. Triage many possible courses of action in a high-ambiguity environment, making use of both quantitative analysis and business judgment. Basic Qualifications - 3+ years of data engineering experience - Experience with data modeling, warehousing and building ETL pipelines - Experience with one or more query language (e.g., SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala) - Experience with one or more scripting language (e.g., Python, KornShell) - Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions - Experience with data visualization software (e.g., AWS QuickSight or Tableau) or open-source project - Bachelor's degree, or Master's degree Preferred Qualifications 5+ years of data engineering experience Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases) Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Company - Amazon Dev Center India - Hyderabad Job ID: A2953275 Show more Show less

Responsibilities: Key roles and responsibilities: The DevOps Engineer will be responsible for designing, implementing, and maintaining CI/CD pipelines using Tekton, Harness, Jenkins, and uDeploy to streamline software delivery processes. This role involves managing configuration automation with Ansible, overseeing RHEL/Linux environments to optimize performance and security, and conducting static code analysis using SonarQube. The role includes knowledge on Apache Spark, Scala, Java, Java-Spark, Apache Kafka, Cloudera Ecosystem who will utilize knowledge to design process for the Olympus project, from concept to execution, including user research, wireframing, prototyping, and high-fidelity design. Collaborate with cross-functional teams including product managers, developers, and other designers to create intuitive and user-centered designs. Conduct tasks related to feasibility studies, time and cost estimates, IT planning, risk technology, applications development, model development, and establish and implement new or revised applications systems and programs to meet specific business needs or user areas Monitor and control all phases of development process and analysis, design, construction, testing, and implementation as well as provide user and operational support on applications to business users Utilize in-depth specialty knowledge of applications development to analyze complex problems/issues, provide evaluation of business process, system process, and industry standards, and make evaluative judgement Recommend and develop security measures in post implementation analysis of business usage to ensure successful system design and functionality Consult with users/clients and other technology groups on issues, recommend advanced programming solutions, and install and assist customer exposure systems Ensure essential procedures are followed and help define operating standards and processes Serve as advisor or coach to new or lower level analysts Has the ability to operate with a limited level of direct supervision. Can exercise independence of judgement and autonomy. Acts as SME to senior stakeholders and /or other team members. Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency. Qualifications: 5-8 years of relevant experience Experience in systems analysis and programming of software applications Experience in managing and implementing successful projects Working knowledge of consulting/project management techniques/methods Ability to work under pressure and manage deadlines or unexpected changes in expectations or requirements Education: Bachelor’s degree/University degree or equivalent experience Technical Skillset: Java /Spark/Scala/Kafka/ Tekton, Harness, Jenkins, and uDeploy This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required. - Job Family Group: Technology - Job Family: Applications Development - Time Type: Full time - Most Relevant Skills Please see the requirements listed above. - Other Relevant Skills For complementary skills, please see above and/or contact the recruiter. - Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi. View Citi’s EEO Policy Statement and the Know Your Rights poster.

CDM Smith is seeking an Artificial Intelligence/Machine Learning Engineer to join our Digital Engineering Solutions team. This individual will be part of the Data Technology group within the Digital Engineering Solutions team, helping to drive strategic Architecture, Engineering and Construction (AEC) initiatives using cutting-edge data technologies and analytics to deliver actionable business insights and robust solutions for AEC professionals and client outcomes. The Data Technology group will lead the firm in AEC-focused Business Intelligence and data services by providing architectural guidance, technological vision, and solution development. The Data Technology group will specifically utilize advanced analytics, data science, and AI/ML to give our business and our products a competitive advantage. It includes understanding and managing the data, how it interconnects, and architecting & engineering data for self-serve BI and BA opportunities. This position is for a person who has demonstrated excellence in AI/ML engineering capabilities, experienced with data technology and processes, and enjoys framing a problem, shaping, and creating solutions, and helping to lead and champion implementation. As a member of the Digital Engineering Solutions team, the Data Technology group will also engage in research and development and provide guidance and oversight to the AEC practices at CDM Smith, engaging in new product research, testing, and the incubation of data technology-related ideas that arise from around the company. Key Responsibilities: Contributes to advanced analytics and uses artificial intelligence (AI) and machine learning (ML) solution techniques that address complex business challenges, particularly within the AEC domain. Apply state-of-the-art algorithms and techniques such as deep learning, NLP, computer vision, and time-series analysis for domain-specific use cases. Analyzes large datasets to identify patterns and trends. Participates in the testing and validation of AI model accuracy and reliability to ensure models perform in line with business requirements and expectations. Assist with AI/ML workflows optimization by implementing MLOps practices, including CI/CD pipelines, model retraining, and version control. Collaborate with Data Engineers, Data Scientists, and other stakeholders to design and implement end-to-end AI/ML solutions. Stay abreast of the latest developments and advancements, including new and emerging technologies & best practices and new tools & software applications and how they could impact CDM Smith. Assist with the development of documentation, standards, best practices, and workflows for data technology hardware/software in use across the business. Performs other duties as required. Skills and Abilities: Good understanding of the software development life cycle. Basic experience with building and deploying machine learning models using frameworks such as TensorFlow, PyTorch, or Scikit-learn. Basic experience with cloud-based AI/ML services, particularly in Microsoft Azure and Databricks. Basic experience with programming languages (ex: R, Python, Scala, etc.). Knowledge of MLOps practices, including automated pipelines, model versioning, monitoring, and lifecycle management. Knowledge of data privacy, security, and ethical AI principles, ensuring compliance with relevant standards. Excellent problem-solving and critical thinking skills to identify and address technical challenges effectively. Strong critical thinking skills to generate innovative solutions and improve business processes. Ability to effectively communicate complex technical concepts to both technical and non-technical audiences. Detail oriented with the ability to assist with executing highly complex or specialized projects. Minimum Qualifications Bachelor’s degree. 0 – 2 years of related experience. Equivalent additional related experience will be considered in lieu of a degree. Amount of Travel Required 0% Background Check and Drug Testing Information CDM Smith Inc. and its divisions and subsidiaries (hereafter collectively referred to as “CDM Smith”) reserves the right to require background checks including criminal, employment, education, licensure, etc. as well as credit and motor vehicle when applicable for certain positions. In addition, CDM Smith may conduct drug testing for designated positions. Background checks are conducted after an offer of employment has been made in the United States. The timing of when background checks will be conducted on candidates for positions outside the United States will vary based on country statutory law but in no case, will the background check precede an interview. CDM Smith will conduct interviews of qualified individuals prior to requesting a criminal background check, and no job application submitted prior to such interview shall inquire into an applicant's criminal history. If this position is subject to a background check for any convictions related to its responsibilities and requirements, employment will be contingent upon successful completion of a background investigation including criminal history. Criminal history will not automatically disqualify a candidate. In addition, during employment individuals may be required by CDM Smith or a CDM Smith client to successfully complete additional background checks, including motor vehicle record as well as drug testing. Agency Disclaimer All vendors must have a signed CDM Smith Placement Agreement from the CDM Smith Recruitment Center Manager to receive payment for your placement. Verbal or written commitments from any other member of the CDM Smith staff will not be considered binding terms. All unsolicited resumes sent to CDM Smith and any resume submitted to any employee outside of CDM Smith Recruiting Center Team (RCT) will be considered property of CDM Smith. CDM Smith will not be held liable to pay a placement fee. Business Unit COR Group COR Assignment Category Fulltime-Regular Employment Type Regular

CDM Smith is seeking a Data Scientist to join our Digital Engineering Solutions team. This individual will be part of the Data Technology group within the Digital Engineering Solutions team, helping to drive strategic Architecture, Engineering and Construction (AEC) initiatives using cutting-edge data technologies and analytics to deliver actionable business insights and robust solutions for AEC professionals and client outcomes. The Data Technology group will lead the firm in AEC-focused Business Intelligence and data services by providing architectural guidance, technological vision, and solution development. The Data Technology group will specifically utilize advanced analytics, data science, and AI/ML to give our business and our products a competitive advantage. It includes understanding and managing the data, how it interconnects, and architecting & engineering data for self-serve BI and BA opportunities. This position is for a person who has demonstrated excellence in data science capabilities, experienced with data technology and processes, and enjoys framing a problem, shaping and creating solutions, and helping to lead and champion implementation. As a member of the Digital Engineering Solutions team, the Data Technology group will also engage in research and development and provide guidance and oversight to the AEC practices at CDM Smith, engaging in new product research, testing, and the incubation of data technology-related ideas that arise from around the company. Key Responsibilities: Conduct rigorous exploratory data analysis (EDA) and apply statistical methods to uncover trends, relationships, patterns and identify data-driven insights. Assist in developing and deploying predictive, prescriptive, and advanced analytics models using statistical, optimization, and machine learning techniques to solve complex AEC business problems. Translate complex data science solutions into actionable business insights through effective communication and visualization. Collaborate with Data Engineers, AI/ML Engineers, and domain experts to frame problems and deliver actionable solutions. Ensure adherence to ethical standards in AI/ML and data science, maintaining transparency and accountability in all activities. Stay abreast of the latest developments and advancements, including new and emerging technologies & best practices and new tools & software applications and how they could impact CDM Smith. Assist with the development of documentation, standards, best practices, and workflows for data technology hardware/software in use across the business. Perform other duties as required. Skills and Abilities: Basic experience with statistical modeling, hypothesis testing, machine learning and advanced inferential and analytics techniques. Basic experience with programming languages (ex: R, Python, Scala, etc.). SQL skills for querying and managing structured and unstructured data. Knowledge of data visualization tools and methods to present complex findings effectively to diverse audiences. Excellent problem-solving and critical thinking skills to identify and address technical challenges effectively. Strong critical thinking skills to generate innovative solutions and improve business processes. Ability to effectively communicate complex technical concepts to both technical and non-technical audiences. Detail oriented with the ability to assist with executing highly complex or specialized projects. Minimum Qualifications Bachelor’s degree. 0 – 2 years of related experience. Equivalent additional directly related experience will be considered in lieu of a degree. Amount of Travel Required 0% Background Check and Drug Testing Information CDM Smith Inc. and its divisions and subsidiaries (hereafter collectively referred to as “CDM Smith”) reserves the right to require background checks including criminal, employment, education, licensure, etc. as well as credit and motor vehicle when applicable for certain positions. In addition, CDM Smith may conduct drug testing for designated positions. Background checks are conducted after an offer of employment has been made in the United States. The timing of when background checks will be conducted on candidates for positions outside the United States will vary based on country statutory law but in no case, will the background check precede an interview. CDM Smith will conduct interviews of qualified individuals prior to requesting a criminal background check, and no job application submitted prior to such interview shall inquire into an applicant's criminal history. If this position is subject to a background check for any convictions related to its responsibilities and requirements, employment will be contingent upon successful completion of a background investigation including criminal history. Criminal history will not automatically disqualify a candidate. In addition, during employment individuals may be required by CDM Smith or a CDM Smith client to successfully complete additional background checks, including motor vehicle record as well as drug testing. Agency Disclaimer All vendors must have a signed CDM Smith Placement Agreement from the CDM Smith Recruitment Center Manager to receive payment for your placement. Verbal or written commitments from any other member of the CDM Smith staff will not be considered binding terms. All unsolicited resumes sent to CDM Smith and any resume submitted to any employee outside of CDM Smith Recruiting Center Team (RCT) will be considered property of CDM Smith. CDM Smith will not be held liable to pay a placement fee. Business Unit COR Group COR Assignment Category Fulltime-Regular Employment Type Regular

Unlock Your Potential With IGNEK Welcome to IGNEK, where we combine innovation and passion! We want our workplace to help you grow professionally and appreciate the special things each person brings. Come with us as we use advanced technology to make a positive difference. At IGNEK, we know our success comes from our team’s talent and hard work. Celebrate Successes Harness Your Skills Experience Growth Together Work, Learn, Celebrate Appreciate Unique Contributions Get Started Culture & Values Our Culture & values guide our actions and define our principles. Growth Learn and grow with us. We’re committed to providing opportunities for you to excel and expand your horizons. Transparency We are very transparent in terms of work, culture and communication to build trust and strong bonding among employees, teams and managers. People First Our success is all about our people. We care about your well-being and value diversity in our inclusive workplace. Be a team Team Work is our strength. Embrace a “Be a Team” mindset, valuing collective success over individual triumphs. Together, we can overcome challenges and reach new heights. Perks & Benefits Competitive flexibility and comprehensive benefits prioritize your well-being. Creative programs, professional development, and a vibrant work-life balance ensure your success is our success. 5 Days Working Festival Celebration Rewards & Benefits Certification Program Skills Improvement Referral Program Friendly Work Culture Training & Development Enterprise Projects Leave Carry Forward Yearly Trip Hybrid Work Fun Activities Indoor | Outdoor Flexible Timing Reliable Growth Team Lunch Stay Happy Opportunity Work Life balance What Makes You Different? BE Authentic Stay true to yourself, it’s what sets you apart BE Proactive Take charge of your work, don’t wait for things to happen BE A Learner Keep an open mind and never stop seeking knowledge BE Professional Approach every task with diligence and integrity BE Innovative Think outside the box and push boundaries BE Passionate Let your enthusiasm light the path to success Senior Data Engineer (AWS Expert) Technology: Data Engineer Job Type: Full Time Job Location: Ahmedabad Experience: 5+ Years Location: Ahmedabad (On-site) Shift Time: 2 PM – 11 PM IST About Us: IGNEK is a fast-growing custom software development company with over a decade of industry experience and a passionate team of 25+ experts. We specialize in crafting end-to-end digital solutions that empower businesses to scale efficiently and stay ahead in an ever-evolving digital world. At IGNEK, we believe in quality, innovation, and a people-first approach to solving real-world challenges through technology. We are looking for a highly skilled and experienced Data Engineer with deep expertise in AWS cloud technologies and strong hands-on experience in backend development, data pipelines, and system design. The ideal candidate will take ownership of delivering robust and scalable solutions while collaborating closely with cross-functional teams and the tech lead. Key Responsibilities: Lead and manage the end-to-end implementation of cloud-native data solutions on AWS. Design, build, and maintain scalable data pipelines (PySpark/Spark) and data lake architectures (Delta Lake 3.0 or similar). Migrate on-premises systems to modern, scalable AWS-based services. end-to-end solutions. Participate in code reviews, agile ceremonies, and documentation. Engineer robust relational databases using Postgres or Oracle with a strong understanding of procedural languages. Collaborate with the tech lead to understand business requirements and deliver practical, scalable solutions. Integrate newly developed features following defined SDLC standards using CI/CD pipelines. Develop orchestration and automation workflows using tools like Apache Airflow. Ensure all solutions comply with security best practices, performance benchmarks, and cloud architecture standards. Monitor, debug, and troubleshoot issues across multiple environments. Stay current with new AWS features, services, and trends to drive continuous platform improvement. Required Skills & Qualifications: 5+ years of professional experience in data engineering and backend development. Strong expertise in Python, Scala, and PySpark. Deep knowledge of AWS services: EC2, S3, Lambda, RDS, Kinesis, IAM, API Gateway, and others. Hands-on experience with Postgres or Oracle, and building relational data stores. Experience with Spark clusters, Delta Lake, Glue Catalogue, and large-scale data processing. Proven track record of end-to-end project delivery and third-party system integrations. Solid understanding of microservices, serverless architectures, and distributed computing. Skilled in Java, Bash scripting, and search tools like Elasticsearch. Proficient in using CI/CD tools (e.g., GitLab, GitHub, AWS CodePipeline). Experience working with Infrastructure as Code (Iac) using Terraform. Hands-on experience with Docker, containerization, and cloud-native deployments. Preferred Qualifications: AWS Certifications (e.g., AWS Certified Solutions Architect or similar). Exposure to Agile/Scrum project methodologies. Familiarity with Kubernetes, advanced networking, and cloud security practices. Experience managing or collaborating with onshore/offshore teams. Preferred Qualifications: Excellent communication and stakeholder management. Strong leadership and problem-solving abilities. Team player with a collaborative mindset. High ownership and accountability in delivering quality outcomes.

As a Data Engineer , you are required to: Design, build, and maintain data pipelines that efficiently process and transport data from various sources to storage systems or processing environments while ensuring data integrity, consistency, and accuracy across the entire data pipeline. Integrate data from different systems, often involving data cleaning, transformation (ETL), and validation. Design the structure of databases and data storage systems, including the design of schemas, tables, and relationships between datasets to enable efficient querying. Work closely with data scientists, analysts, and other stakeholders to understand their data needs and ensure that the data is structured in a way that makes it accessible and usable. Stay up-to-date with the latest trends and technologies in the data engineering space, such as new data storage solutions, processing frameworks, and cloud technologies. Evaluate and implement new tools to improve data engineering processes. Qualification : Bachelor's or Master's in Computer Science & Engineering, or equivalent. Professional Degree in Data Science, Engineering is desirable. Experience level : At least 3 - 5 years hands-on experience in Data Engineering, ETL. Desired Knowledge & Experience : Spark: Spark 3.x, RDD/DataFrames/SQL, Batch/Structured Streaming Knowing Spark internals: Catalyst/Tungsten/Photon Databricks: Workflows, SQL Warehouses/Endpoints, DLT, Pipelines, Unity, Autoloader IDE: IntelliJ/Pycharm, Git, Azure Devops, Github Copilot Test: pytest, Great Expectations CI/CD Yaml Azure Pipelines, Continuous Delivery, Acceptance Testing Big Data Design: Lakehouse/Medallion Architecture, Parquet/Delta, Partitioning, Distribution, Data Skew, Compaction Languages: Python/Functional Programming (FP) SQL: TSQL/Spark SQL/HiveQL Storage: Data Lake and Big Data Storage Design additionally it is helpful to know basics of: Data Pipelines: ADF/Synapse Pipelines/Oozie/Airflow Languages: Scala, Java NoSQL: Cosmos, Mongo, Cassandra Cubes: SSAS (ROLAP, HOLAP, MOLAP), AAS, Tabular Model SQL Server: TSQL, Stored Procedures Hadoop: HDInsight/MapReduce/HDFS/YARN/Oozie/Hive/HBase/Ambari/Ranger/Atlas/Kafka Data Catalog: Azure Purview, Apache Atlas, Informatica Required Soft skills & Other Capabilities : Great attention to detail and good analytical abilities. Good planning and organizational skills Collaborative approach to sharing ideas and finding solutions Ability to work independently and also in a global team environment. Show more Show less

Work with business stakeholders and cross-functional SMEs to deeply understand business context and key business questions Create Proof of concepts (POCs) / Minimum Viable Products (MVPs), then guide them through to production deployment and operationalization of projects Influence machine learning strategy for Digital programs and projects Make solution recommendations that appropriately balance speed to market and analytical soundness Explore design options to assess efficiency and impact, develop approaches to improve robustness and rigor Develop analytical / modelling solutions using a variety of commercial and open-source tools (e.g., Python, R, TensorFlow) Formulate model-based solutions by combining machine learning algorithms with other techniques such as simulations Design, adapt, and visualize solutions based on evolving requirements and communicate them through presentations, scenarios, and stories Create algorithms to extract information from large, multiparametric data sets Deploy algorithms to production to identify actionable insights from large databases Compare results from various methodologies and recommend optimal techniques Design, adapt, and visualize solutions based on evolving requirements and communicate them through presentations, scenarios, and stories Develop and embed automated processes for predictive model validation, deployment, and implementation Work on multiple pillars of AI including cognitive engineering, conversational bots, and data science Ensure that solutions exhibit high levels of performance, security, scalability, maintainability, repeatability, appropriate reusability, and reliability upon deployment Lead discussions at peer review and use interpersonal skills to positively influence decision making Provide thought leadership and subject matter expertise in machine learning techniques, tools, and concepts; make impactful contributions to internal discussions on emerging practices Facilitate cross-geography sharing of new ideas, learnings, and best-practices Requirements Bachelor of Science or Bachelor of Engineering at a minimum. 4+ years of work experience as a Data Scientist A combination of business focus, strong analytical and problem-solving skills, and programming knowledge to be able to quickly cycle hypothesis through the discovery phase of a project Advanced skills with statistical/programming software (e.g., R, Python) and data querying languages (e.g., SQL, Hadoop/Hive, Scala) Good hands-on skills in both feature engineering and hyperparameter optimization Experience producing high-quality code, tests, documentation Experience with Microsoft Azure or AWS data management tools such as Azure Data factory, data lake, Azure ML, Synapse, Databricks Understanding of descriptive and exploratory statistics, predictive modelling, evaluation metrics, decision trees, machine learning algorithms, optimization & forecasting techniques, and / or deep learning methodologies Proficiency in statistical concepts and ML algorithms Good knowledge of Agile principles and process Ability to lead, manage, build, and deliver customer business results through data scientists or professional services team Ability to share ideas in a compelling manner, to clearly summarize and communicate data analysis assumptions and results Self-motivated and a proactive problem solver who can work independently and in teams Show more Show less

Job Title: Senior Software Engineer Department: IDP About Us HG Insights is the global leader in technology intelligence, delivering actionable AI driven insights through advanced data science and scalable big data solutions. Our Big Data Insights Platform processes billions of unstructured documents and powers a vast data lake, enabling enterprises to make strategic, data-driven decisions. Join our team to solve complex data challenges at scale and shape the future of B2B intelligence. What You’ll Do: Design, build, and optimize large-scale distributed data pipelines for processing billions of unstructured documents using Databricks, Apache Spark, and cloud-native big data tools Architect and scale enterprise-grade big-data systems, including data lakes, ETL/ELT workflows, and syndication platforms for customer-facing Insights-as-a-Service (InaaS) products. Collaborate with product teams to develop features across databases, backend services, and frontend UIs that expose actionable intelligence from complex datasets. Implement cutting-edge solutions for data ingestion, transformation, and analytics using Hadoop/Spark ecosystems, Elasticsearch, and cloud services (AWS EC2, S3, EMR). Drive system reliability through automation, CI/CD pipelines (Docker, Kubernetes, Terraform), and infrastructure-as-code practices. What You’ll Be Responsible For Leading the development of our Big Data Insights Platform, ensuring scalability, performance, and cost-efficiency across distributed systems. Mentoring engineers, conducting code reviews, and establishing best practices for Spark optimization, data modeling, and cluster resource management. Building & Troubleshooting complex data pipeline issues, including performance tuning of Spark jobs, query optimization, and data quality enforcement. Collaborating in agile workflows (daily stand-ups, sprint planning) to deliver features rapidly while maintaining system stability. Ensuring security and compliance across data workflows, including access controls, encryption, and governance policies. What You’ll Need BS/MS/Ph.D. in Computer Science or related field, with 5+ years of experience building production-grade big data systems. Expertise in Scala/Java for Spark development, including optimization of batch/streaming jobs and debugging distributed workflows. Proven track record with: Databricks, Hadoop/Spark ecosystems, and SQL/NoSQL databases (MySQL, Elasticsearch). Cloud platforms (AWS EC2, S3, EMR) and infrastructure-as-code tools (Terraform, Kubernetes). RESTful APIs, microservices architectures, and CI/CD automation37. Leadership experience as a technical lead, including mentoring engineers and driving architectural decisions. Strong understanding of agile practices, distributed computing principles, and data lake architectures. Airflow orchestration (DAGs, operators, sensors) and integration with Spark/Databricks 7+ years of designing, modeling and building big data pipelines in an enterprise work setting. Nice-to-Haves Experience with machine learning pipelines (Spark MLlib, Databricks ML) for predictive analytics. Knowledge of data governance frameworks and compliance standards (GDPR, CCPA). Contributions to open-source big data projects or published technical blogs/papers. DevOps proficiency in monitoring tools (Prometheus, Grafana) and serverless architectures. Show more Show less

Introduction In this role, you'll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology Your Role And Responsibilities As an Associate Software Developer at IBM you will harness the power of data to unveil captivating stories and intricate patterns. You'll contribute to data gathering, storage, and both batch and real-time processing. Collaborating closely with diverse teams, you'll play an important role in deciding the most suitable data management systems and identifying the crucial data required for insightful analysis. As a Data Engineer, you'll tackle obstacles related to database integration and untangle complex, unstructured data sets. In This Role, Your Responsibilities May Include Implementing and validating predictive models as well as creating and maintain statistical models with a focus on big data, incorporating a variety of statistical and machine learning techniques Designing and implementing various enterprise search applications such as Elasticsearch and Splunk for client requirements Work in an Agile, collaborative environment, partnering with other scientists, engineers, consultants and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviours. Build teams or writing programs to cleanse and integrate data in an efficient and reusable manner, developing predictive or prescriptive models, and evaluating modelling results Preferred Education Master's Degree Required Technical And Professional Expertise Experience in Big Data Technology like Hadoop, Apache Spark, Hive. Practical experience in Core Java (1.8 preferred) /Python/Scala. Having experience in AWS cloud services including S3, Redshift, EMR etc. Strong expertise in RDBMS and SQL. Good experience in Linux and shell scripting. Experience in Data Pipeline using Apache Airflow Preferred Technical And Professional Experience You thrive on teamwork and have excellent verbal and written communication skills. Ability to communicate with internal and external clients to understand and define business needs, providing analytical solutions Ability to communicate results to technical and non-technical audiences Show more Show less

Work with business stakeholders and cross-functional SMEs to deeply understand business context and key business questions Create Proof of concepts (POCs) / Minimum Viable Products (MVPs), then guide them through to production deployment and operationalization of projects Influence machine learning strategy for Digital programs and projects Make solution recommendations that appropriately balance speed to market and analytical soundness Explore design options to assess efficiency and impact, develop approaches to improve robustness and rigor Develop analytical / modelling solutions using a variety of commercial and open-source tools (e.g., Python, R, TensorFlow) Formulate model-based solutions by combining machine learning algorithms with other techniques such as simulations Design, adapt, and visualize solutions based on evolving requirements and communicate them through presentations, scenarios, and stories Create algorithms to extract information from large, multiparametric data sets Deploy algorithms to production to identify actionable insights from large databases Compare results from various methodologies and recommend optimal techniques Design, adapt, and visualize solutions based on evolving requirements and communicate them through presentations, scenarios, and stories Develop and embed automated processes for predictive model validation, deployment, and implementation Work on multiple pillars of AI including cognitive engineering, conversational bots, and data science Ensure that solutions exhibit high levels of performance, security, scalability, maintainability, repeatability, appropriate reusability, and reliability upon deployment Lead discussions at peer review and use interpersonal skills to positively influence decision making Provide thought leadership and subject matter expertise in machine learning techniques, tools, and concepts; make impactful contributions to internal discussions on emerging practices Facilitate cross-geography sharing of new ideas, learnings, and best-practices Requirements Bachelor of Science or Bachelor of Engineering at a minimum. 4+ years of work experience as a Data Scientist A combination of business focus, strong analytical and problem-solving skills, and programming knowledge to be able to quickly cycle hypothesis through the discovery phase of a project Advanced skills with statistical/programming software (e.g., R, Python) and data querying languages (e.g., SQL, Hadoop/Hive, Scala) Good hands-on skills in both feature engineering and hyperparameter optimization Experience producing high-quality code, tests, documentation Experience with Microsoft Azure or AWS data management tools such as Azure Data factory, data lake, Azure ML, Synapse, Databricks Understanding of descriptive and exploratory statistics, predictive modelling, evaluation metrics, decision trees, machine learning algorithms, optimization & forecasting techniques, and / or deep learning methodologies Proficiency in statistical concepts and ML algorithms Good knowledge of Agile principles and process Ability to lead, manage, build, and deliver customer business results through data scientists or professional services team Ability to share ideas in a compelling manner, to clearly summarize and communicate data analysis assumptions and results Self-motivated and a proactive problem solver who can work independently and in teams Show more Show less

We’re looking for a skilled Big Data Engineer. Role Highlights: Position: Big Data Engineer Experience: 4+ years Location- Remote Work mode- WFH Notice Period: Immediate/15 days joiners Mandatory. Key Skills:- Big Data, AWS, CI/CD Pipelines, Scala , Python or Java or C++ Show more Show less

About Client: Our Client is a global IT services company headquartered in Southborough, Massachusetts, USA. Founded in 1996, with a revenue of $1.8B, with 35,000+ associates worldwide, specializes in digital engineering, and IT services company helping clients modernize their technology infrastructure, adopt cloud and AI solutions, and accelerate innovation. It partners with major firms in banking, healthcare, telecom, and media. Our Client is known for combining deep industry expertise with agile development practices, enabling scalable and cost-effective digital transformation. The company operates in over 50 locations across more than 25 countries, has delivery centers in Asia, Europe, and North America and is backed by Baring Private Equity Asia. Job Title :Performance Tester Key Skills :AWS,Jmeter,AppDynamics, New Relic, Splunk, DataDog Job Locations :Chennai,Pune Experience : 65-7 Education Qualification : Any Graduation. Work Mode : Hybrid. Employment Type : Contract. Notice Period : Immediate Job Description: Experience, Skills and Qualifications: • Performance Engineering, testing and tuning cloud hosted digital platforms (e.g. AWS) • Working knowledge (preferably with an AWS Solutions Architect certification) on Cloud Platforms like AWS and AWS Key Services and DevOps tools like CloudFormation, Teraform • Performance engineering and testing of web Apps (Linux) Performance testing and tuning web-based applications • Performance engineering toolsets such as JMeter, Microfocus Performance Center, BrowserStack, Taurus, Lighthouse, • Monitoring/logging tools (such as AppDynamics, New Relic, Splunk, DataDog) • Windows / UNIX / Linux / Web / Database / Network performance monitors to diagnose performance issues along with JVM tuning and Heap analysing skills • Docker, Kubernetes and Cloud-native development and container orchestration frameworks, Kubernetes clusters, pods & nodes, vertical/horizontal pod autoscaling concepts, High availability • Performance Testing and Engineering activity planning, estimating, designing, executing and analysing output from performance tests • Working in an agile environment, "DevOps" team or a similar multi-skilled team in a technically demanding function • Jenkins and CI-CD Pipelines including Pipeline scripting • Chaos engineering using tools like Chaos toolkit, AWS Fault Injection Simulator, Gremlin etc. • Programming and scripting language skills in Java, Shell, Scala, Groovy, Python and knowledge of security mechanisms such as OAuth etc. • Tools like GitHub, Jira & Confluence • Assisting with Resiliency Production support teams and Performance Incident Root Cause Analysis • Ability to prioritize work effectively and deliver within agreed service levels in a diverse and ever-changing environment • High levels of judgment and decision making, being able to rationalize and present the background and reasoning for direction taken • Strong stakeholder management and excellent communication skills. • Extensive knowledge of risk management and mitigation • Strong analytical and problem-solving skills Show more Show less

What You will do ● Create beautiful software experiences for our clients using design thinking, lean and agile methodology. ● Work on software products designed from scratch using the latest cutting edge technologies, platforms and languages such as JAVA, python, Javascript, GoLang and Scala. ● Work in a dynamic, collaborative, transparent, non-hierarchical culture. ● Work in collaborative, fast-paced and value-driven teams to build innovative customer experiences for our clients. ● Help to grow the next generation of developers and have a positive impact on the industry. Basic Qualifications ● Experience: 4+ years. ● Hands-on development experience with a broad mix of languages such as JAVA, Python, Javascript etc. ● Server-side development experience mainly in JAVA, (Python and nodeJS can be considerable) ● UI development experience in ReactJS or AngularJS or PolymerJS or EmberJS or Jquery etc. are good to have. ● Passion for software engineering and follow the best coding concepts. ● Good to great problem solving and communication skills. Nice to have Qualifications ● Product and customer-centric mindset. ● Great OO skills, including design patterns. ● Experience with devops, continuous integration & deployment. ● Exposure to big data technologies, Machine Learning and NLP will be a plus. Benefits ● Competitive salary. ● Work from anywhere. ● Learning and gaining experience rapidly. ● Reimbursement for basic working set up at home. ● Insurance (including a top up insurance for COVID). Location Hybrid- Mumbai / Pune / Bangalore / Hyderabad Show more Show less

About Sanofi We are an innovative global healthcare company, driven by one purpose: we chase the miracles of science to improve people’s lives. Our team, across some 100 countries, is dedicated to transforming the practice of medicine by working to turn the impossible into the possible. We provide potentially life-changing treatment options and life-saving vaccine protection to millions of people globally, while putting sustainability and social responsibility at the center of our ambitions. Sanofi has recently embarked into a vast and ambitious digital transformation program. A cornerstone of this roadmap is the acceleration of its data transformation and of the adoption of artificial intelligence (AI) and machine learning (ML) solutions that will accelerate Manufacturing & Supply performance and help bring drugs and vaccines to patients faster, to improve health and save lives. Who You Are: You are a dynamic Data Engineer interested in challenging the status quo to design and develop globally scalable solutions that are needed by Sanofi’s advanced analytic, AI and ML initiatives for the betterment of our global patients and customers. You are a valued influencer and leader who has contributed to making key datasets available to data scientists, analysts, and consumers throughout the enterprise to meet vital business use needs. You have a keen eye for improvement opportunities while continuing to fully comply with all data quality, security, and governance standards. Our vision for digital, data analytics and AI Join us on our journey in enabling Sanofi’s Digital Transformation through becoming an AI first organization. This means: AI Factory - Versatile Teams Operating in Cross Functional Pods: Utilizing digital and data resources to develop AI products, bringing data management, AI and product development skills to products, programs and projects to create an agile, fulfilling and meaningful work environment. Leading Edge Tech Stack: Experience building products that will be deployed globally on a leading-edge tech stack. World Class Mentorship and Training: Working with renowned leaders and academics in machine learning to further develop your skillsets There are multiple vacancies across our Digital profiles and NA region. Further assessments will be completed to determine specific function and level of hired candidates. Job Highlights Propose and establish technical designs to meet business and technical requirements Develop and maintain data engineering solutions based on requirements and design specifications using appropriate tools and technologies Create data pipelines / ETL pipelines and optimize performance Test and validate developed solution to ensure it meets requirements Create design and development documentation based on standards for knowledge transfer, training, and maintenance Work with business and products teams to understand requirements, and translate them into technical needs Adhere to and promote to best practices and standards for code management, automated testing, and deployments Leverage existing or create new standard data pipelines within Sanofi to bring value through business use cases Develop automated tests for CI/CD pipelines Gather/organize large & complex data assets, and perform relevant analysis Conduct peer reviews for quality, consistency, and rigor for production level solution Actively contribute to Data Engineering community and define leading practices and frameworks Communicate results and findings in a clear, structured manner to stakeholders Remains up to date on the company’s standards, industry practices and emerging technologies Key Functional Requirements & Qualifications Experience working cross-functional teams to solve complex data architecture and engineering problems Demonstrated ability to learn new data and software engineering technologies in short amount of time Good understanding of agile/scrum development processes and concepts Able to work in a fast-paced, constantly evolving environment and manage multiple priorities Strong technical analysis and problem-solving skills related to data and technology solutions Excellent written, verbal, and interpersonal skills with ability to communicate ideas, concepts and solutions to peers and leaders Pragmatic and capable of solving complex issues, with technical intuition and attention to detail Service-oriented, flexible, and approachable team player Fluent in English (Other languages a plus) Key Technical Requirements & Qualifications Bachelor’s Degree or equivalent in Computer Science, Engineering, or relevant field 4 to 5+ years of experience in data engineering, integration, data warehousing, business intelligence, business analytics, or comparable role with relevant technologies and tools, such as Spark/Scala, Informatica/IICS/Dbt Understanding of data structures and algorithms Working knowledge of scripting languages (Python, Shell scripting) Experience in cloud-based data platforms (Snowflake is a plus) Experience with job scheduling and orchestration (Airflow is a plus) Good knowledge of SQL and relational databases technologies/concepts Experience working with data models and query tuning Nice To Haves Experience working in life sciences/pharmaceutical industry is a plus Familiarity with data ingestion through batch, near real-time, and streaming environments Familiarity with data warehouse concepts and architectures (data mesh a plus) Familiarity with Source Code Management Tools (GitHub a plus) Pursue Progress Discover Extraordinary Better is out there. Better medications, better outcomes, better science. But progress doesn’t happen without people – people from different backgrounds, in different locations, doing different roles, all united by one thing: a desire to make miracles happen. So, let’s be those people. Watch our ALL IN video and check out our Diversity, Equity and Inclusion actions at sanofi.com! null Show more Show less

Job Description Diagnose model performance issues; research, implement and test alternative options; prepare analyses; and deploy solutions. Conduct complex statistical analyses of real estate, mortgage, and insurance related data. Apply machine learning and data mining techniques to discover patterns from large and complex datasets. Make forecasts and predictions based on modeling and analysis of multiple economic and human factors. Prepare and maintain programs and documentation for models. Perform modeling and analysis using various data mining, machine learning, statistical, and mathematical techniques. Drive the re-engineering of current production models and their prototypes as needed. Lead and manage quantitative and qualitative research projects independently. Assess and communicate research results to internal stakeholders. Understand business requirements and conceptualize analytic solutions to those business problems. Regularly engage cross functional teams to research, define, and implement analytic solutions within a broad business function. Troubleshoot and drive solutions on a wide variety of highly complex problems. Research and test GenAI best practices and solutions for emerging issues, as appropriate. Job Qualifications Masters degree in Economics, Mathematics, Computer Science, Data Science, Machine Learning, Statistics, Physics or related field. At least 8 years industry or academic experience in AI, machine learning techniques, data mining, statistical modeling and/or pattern recognition model building for clients on real world problems Proficiency in network analysis and graph theory is a plus Experience building and maintaining models in a cloud environment Proficiency in at least one of the following programming languages: Python, Java, R, C++, Scala Must have big data expertise, such as Spark, Hadoop, Hive, etc. Experience integrating GenAI into production solutions a plus. Team player, willing to assist and jump into a project at any point as needed Detail oriented; strong presentation skills, experienced with client interaction. Ability to communicate effectively and in a professional manner to key stakeholders and explain business needs to technical personnel. Solid interpersonal skills. Must be able to communicate clearly to partners and colleagues verbally and in written form. Able to manage multiple, complex projects simultaneously. Able to effectively present analytic insights and modeling techniques internally and externally.

Role : Data Engineers (510 Years of Experience) Experience : 510 years Location : Gurgaon, Pune, Bangalore, Chennai, Jaipur and Bhopal Skills : Python/Scala, SQL, ETL, Big Data (Spark, Kafka, Hive), Cloud (AWS/Azure/GCP), Data Warehousing Responsibilities : Build and maintain robust, scalable data pipelines and systems. Design and implement ETL processes to support analytics and reporting. Optimize data workflows for performance and scalability. Collaborate with data scientists, analysts, and engineering teams. Ensure data quality, governance, and security compliance. Required Skills Strong experience with Python/Scala, SQL, and ETL tools. Hands-on with Big Data technologies (Hadoop, Spark, Kafka, Hive, etc. Proficiency in Cloud Platforms (AWS/GCP/Azure). Experience with data warehousing (e.g., Redshift, Snowflake, BigQuery). Familiarity with CI/CD pipelines and version control systems. Nice To Have Experience with Airflow, Databricks, or dbt. Knowledge of real-time data processing (ref:hirist.tech) Show more Show less

Why CDM Smith? Check out this video and find out why our team loves to work here! Join Us! CDM Smith – where amazing career journeys unfold. Imagine a place committed to offering an unmatched employee experience. Where you work on projects that are meaningful to you. Where you play an active part in shaping your career journey. Where your co-workers are invested in you and your success. Where you are encouraged and supported to do your very best and given the tools and resources to do so. Where it’s a priority that the company takes good care of you and your family. Our employees are the heart of our company. As an employer of choice, our goal is to provide a challenging, progressive and inclusive work environment which fosters personal leadership, career growth and development for every employee. We value passionate individuals who challenge the norm, deliver world-class solutions and bring diverse perspectives. Join our team, and together we will make a difference and change the world. Job Description CDM Smith is seeking an Artificial Intelligence/Machine Learning Engineer to join our Digital Engineering Solutions team. This individual will be part of the Data Technology group within the Digital Engineering Solutions team, helping to drive strategic Architecture, Engineering and Construction (AEC) initiatives using cutting-edge data technologies and analytics to deliver actionable business insights and robust solutions for AEC professionals and client outcomes. The Data Technology group will lead the firm in AEC-focused Business Intelligence and data services by providing architectural guidance, technological vision, and solution development. The Data Technology group will specifically utilize advanced analytics, data science, and AI/ML to give our business and our products a competitive advantage. It includes understanding and managing the data, how it interconnects, and architecting & engineering data for self-serve BI and BA opportunities. This position is for a person who has demonstrated excellence in AI/ML engineering capabilities, experienced with data technology and processes, and enjoys framing a problem, shaping, and creating solutions, and helping to lead and champion implementation. As a member of the Digital Engineering Solutions team, the Data Technology group will also engage in research and development and provide guidance and oversight to the AEC practices at CDM Smith, engaging in new product research, testing, and the incubation of data technology-related ideas that arise from around the company. Key Responsibilities Contributes to advanced analytics and uses artificial intelligence (AI) and machine learning (ML) solution techniques that address complex business challenges, particularly within the AEC domain. Apply state-of-the-art algorithms and techniques such as deep learning, NLP, computer vision, and time-series analysis for domain-specific use cases. Analyzes large datasets to identify patterns and trends. Participates in the testing and validation of AI model accuracy and reliability to ensure models perform in line with business requirements and expectations. Assist with AI/ML workflows optimization by implementing MLOps practices, including CI/CD pipelines, model retraining, and version control. Collaborate with Data Engineers, Data Scientists, and other stakeholders to design and implement end-to-end AI/ML solutions. Stay abreast of the latest developments and advancements, including new and emerging technologies & best practices and new tools & software applications and how they could impact CDM Smith. Assist with the development of documentation, standards, best practices, and workflows for data technology hardware/software in use across the business. Performs other duties as required. Skills And Abilities Good understanding of the software development life cycle. Basic experience with building and deploying machine learning models using frameworks such as TensorFlow, PyTorch, or Scikit-learn. Basic experience with cloud-based AI/ML services, particularly in Microsoft Azure and Databricks. Basic experience with programming languages (ex: R, Python, Scala, etc.). Knowledge of MLOps practices, including automated pipelines, model versioning, monitoring, and lifecycle management. Knowledge of data privacy, security, and ethical AI principles, ensuring compliance with relevant standards. Excellent problem-solving and critical thinking skills to identify and address technical challenges effectively. Strong critical thinking skills to generate innovative solutions and improve business processes. Ability to effectively communicate complex technical concepts to both technical and non-technical audiences. Detail oriented with the ability to assist with executing highly complex or specialized projects. Minimum Qualifications Bachelor’s degree. 0 – 2 years of related experience. Equivalent additional related experience will be considered in lieu of a degree. Amount Of Travel Required 0% Background Check and Drug Testing Information CDM Smith Inc. and its divisions and subsidiaries (hereafter collectively referred to as “CDM Smith”) reserves the right to require background checks including criminal, employment, education, licensure, etc. as well as credit and motor vehicle when applicable for certain positions. In addition, CDM Smith may conduct drug testing for designated positions. Background checks are conducted after an offer of employment has been made in the United States. The timing of when background checks will be conducted on candidates for positions outside the United States will vary based on country statutory law but in no case, will the background check precede an interview. CDM Smith will conduct interviews of qualified individuals prior to requesting a criminal background check, and no job application submitted prior to such interview shall inquire into an applicant's criminal history. If this position is subject to a background check for any convictions related to its responsibilities and requirements, employment will be contingent upon successful completion of a background investigation including criminal history. Criminal history will not automatically disqualify a candidate. In addition, during employment individuals may be required by CDM Smith or a CDM Smith client to successfully complete additional background checks, including motor vehicle record as well as drug testing. Agency Disclaimer All vendors must have a signed CDM Smith Placement Agreement from the CDM Smith Recruitment Center Manager to receive payment for your placement. Verbal or written commitments from any other member of the CDM Smith staff will not be considered binding terms. All unsolicited resumes sent to CDM Smith and any resume submitted to any employee outside of CDM Smith Recruiting Center Team (RCT) will be considered property of CDM Smith. CDM Smith will not be held liable to pay a placement fee. Business Unit COR Group COR Assignment Category Fulltime-Regular Employment Type Regular Show more Show less

You Lead the Way. We've Got Your Back. With the right backing, people and businesses have the power to progress in incredible ways. When you join Team Amex, you become part of a global and diverse community of colleagues with an unwavering commitment to back our customers, communities, and each other. Here, you'll learn and grow as we help you create a career journey that's unique and meaningful to you with benefits, programs, and flexibility that support you personally and professionally. At American Express, you'll be recognized for your contributions, leadership, and impact—every colleague has the opportunity to share in the company's success. Together, we'll win as a team, striving to uphold our company values and powerful backing promise to provide the world's best customer experience every day. And we'll do it with the utmost integrity, and in an environment where everyone is seen, heard and feels like they belong. Join Team Amex and let's lead the way together. American Express has embarked on an exciting transformation driven by an energetic new team of high performers. This is a great opportunity to join the Customer Marketing organization within American Express Technologies and become a driver of this exciting journey. We are looking for a highly skilled and experienced Senior Engineer with a history of building Bigdata, GCP Cloud, Python and Spark applications. The Senior Engineer will play a crucial role in designing, implementing, and optimizing data solutions to support our organization's data-driven initiatives. This role requires expertise in data engineering, strong problem-solving abilities, and a collaborative mindset to work effectively with various stakeholders. Joining the Enterprise Marketing team, this role will be focused on the delivery of innovative solutions to satisfy the needs of our business. As an agile team we work closely with our business partners to understand what they require, and we strive to continuously improve as a team. We pride ourselves on a culture of kindness and positivity, and a continuous focus on supporting colleague development to help you achieve your career goals. We lead with integrity, and we emphasize work/life balance for all of our teammates. How will you make an impact in this role? There are hundreds of opportunities to make your mark on technology and life at American Express. Here's just some of what you'll be doing: As a part of our team, you will be developing innovative, high quality, and robust operational engineering capabilities. Develop software in our technology stack which is constantly evolving but currently includes Big data, Spark, Python, Scala, GCP, Adobe Suit ( like Customer Journey Analytics ). Work with Business partners and stakeholders to understand functional requirements, architecture dependencies, and business capability roadmaps. Create technical solution designs to meet business requirements. Define best practices to be followed by team. Taking your place as a core member of an Agile team driving the latest development practices Identify and drive reengineering opportunities, and opportunities for adopting new technologies and methods. Suggest and recommend solution architecture to resolve business problems. Perform peer code review and participate in technical discussions with the team on the best solutions possible. As part of our diverse tech team, you can architect, code and ship software that makes us an essential part of our customers' digital lives. Here, you can work alongside talented engineers in an open, supportive, inclusive environment where your voice is valued, and you make your own decisions on what tech to use to solve challenging problems. American Express offers a range of opportunities to work with the latest technologies and encourages you to back the broader engineering community through open source. And because we understand the importance of keeping your skills fresh and relevant, we give you dedicated time to invest in your professional development. Find your place in technology of #TeamAmex. Minimum Qualifications : · BS or MS degree in computer science, computer engineering, or other technical discipline, or equivalent work experience. · 8+ years of hands-on software development experience with Big Data & Analytics solutions – Hadoop Hive, Spark, Scala, Hive, Python, shell scripting, GCP Cloud Big query, Big Table, Airflow. · Working knowledge of Adobe suit like Adobe Experience Platform, Adobe Customer Journey Analytics · Proficiency in SQL and database systems, with experience in designing and optimizing data models for performance and scalability. · Design and development experience with Kafka, Real time ETL pipeline, API is desirable. · Experience in designing, developing, and optimizing data pipelines for large-scale data processing, transformation, and analysis using Big Data and GCP technologies. · Certifications in cloud platform (GCP Professional Data Engineer) is a plus. · Understanding of distributed (multi-tiered) systems, data structures, algorithms & Design Patterns. · Strong Object-Oriented Programming skills and design patterns. · Experience with CICD pipelines, Automated test frameworks, and source code management tools (XLR, Jenkins, Git, Maven). · Good knowledge and experience with configuration management tools like GitHub · Ability to analyze complex data engineering problems, propose effective solutions, and implement them effectively. · Looks proactively beyond the obvious for continuous improvement opportunities. · Communicates effectively with product and cross functional team. · Willingness to learn new technologies and leverage them to their optimal potential. · Understanding of various SDLC methodologies, familiarity with Agile & scrum ceremonies. We back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones' physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally: Competitive base salaries Bonus incentives Support for financial-well-being and retirement Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location) Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need Generous paid parental leave policies (depending on your location) Free access to global on-site wellness centers staffed with nurses and doctors (depending on location) Free and confidential counseling support through our Healthy Minds program Career development and training opportunities American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law. Offer of employment with American Express is conditioned upon the successful completion of a background verification check, subject to applicable laws and regulations. Show more Show less

Before you apply to a job, select your language preference from the options available at the top right of this page. Explore your next opportunity at a Fortune Global 500 organization. Envision innovative possibilities, experience our rewarding culture, and work with talented teams that help you become better every day. We know what it takes to lead UPS into tomorrow—people with a unique combination of skill + passion. If you have the qualities and drive to lead yourself or teams, there are roles ready to cultivate your skills and take you to the next level. Job Description This position participates in the support of batch and real-time data pipelines utilizing various data analytics processing frameworks in support of data science practices for Marketing and Finance business units. This position supports the integration of data from various data sources, as well as performs extract, transform, load (ETL) data conversions, and facilitates data cleansing and enrichment. This position performs full systems life cycle management activities, such as analysis, technical requirements, design, coding, testing, implementation of systems and applications software. This position participates and contributes to synthesizing disparate data sources to support reusable and reproducible data assets. Responsibilities Supervises and supports data engineering projects and builds solutions by leveraging a strong foundational knowledge in software/application development. Develops and delivers data engineering documentation. Gathers requirements, defines the scope, and performs the integration of data for data engineering projects. Recommends analytic reporting products/tools and supports the adoption of emerging technology. Performs data engineering maintenance and support. Provides the implementation strategy and executes backup, recovery, and technology solutions to perform analysis. Performs ETL tool capabilities with the ability to pull data from various sources and perform a load of the transformed data into a database or business intelligence platform. Required Qualifications Codes using programming language used for statistical analysis and modeling such as Python/Java/Scala/C# Strong understanding of database systems and data warehousing solutions. Strong understanding of the data interconnections between organizations’ operational and business functions. Strong understanding of the data life cycle stages - data collection, transformation, analysis, storing the data securely, providing data accessibility Strong understanding of the data environment to ensure that it can scale for the following demands: Throughput of data, increasing data pipeline throughput, analyzing large amounts of data, Real-time predictions, insights and customer feedback, data security, data regulations, and compliance. Strong knowledge of data structures, as well as data filtering and data optimization. Strong understanding of analytic reporting technologies and environments (e.g., PBI, Looker, Qlik, etc.) Strong understanding of a cloud services platform (e.g., GCP, or AZURE, or AWS) and all the data life cycle stages. Azure Preferred. Understanding of distributed systems and the underlying business problem being addressed, as well as guides team members on how their work will assist by performing data analysis and presenting findings to the stakeholders. Bachelor’s degree in MIS, mathematics, statistics, or computer science, international equivalent, or equivalent job experience. Required Skills 3 years of experience with Databricks Other required experience includes: SSIS/SSAS, Apache Spark, Python, R and SQL, SQL Server Preferred Skills Scala, DeltaLake Unity Catalog, Azure Logic Apps, Cloud Services Platform (e.g., GCP, or AZURE, or AWS) Employee Type Permanent UPS is committed to providing a workplace free of discrimination, harassment, and retaliation. Show more Show less

Avant de postuler à un emploi, sélectionnez votre langue de préférence parmi les options disponibles en haut à droite de cette page. Découvrez votre prochaine opportunité au sein d'une organisation qui compte parmi les 500 plus importantes entreprises mondiales. Envisagez des opportunités innovantes, découvrez notre culture enrichissante et travaillez avec des équipes talentueuses qui vous poussent à vous développer chaque jour. Nous savons ce qu’il faut faire pour diriger UPS vers l'avenir : des personnes passionnées dotées d’une combinaison unique de compétences. Si vous avez les qualités, de la motivation, de l'autonomie ou le leadership pour diriger des équipes, il existe des postes adaptés à vos aspirations et à vos compétences d'aujourd'hui et de demain. Fiche De Poste This position participates in the support of batch and real-time data pipelines utilizing various data analytics processing frameworks in support of data science practices for Marketing and Finance business units. This position supports the integration of data from various data sources, as well as performs extract, transform, load (ETL) data conversions, and facilitates data cleansing and enrichment. This position performs full systems life cycle management activities, such as analysis, technical requirements, design, coding, testing, implementation of systems and applications software. This position participates and contributes to synthesizing disparate data sources to support reusable and reproducible data assets. Responsibilities Supervises and supports data engineering projects and builds solutions by leveraging a strong foundational knowledge in software/application development. Develops and delivers data engineering documentation. Gathers requirements, defines the scope, and performs the integration of data for data engineering projects. Recommends analytic reporting products/tools and supports the adoption of emerging technology. Performs data engineering maintenance and support. Provides the implementation strategy and executes backup, recovery, and technology solutions to perform analysis. Performs ETL tool capabilities with the ability to pull data from various sources and perform a load of the transformed data into a database or business intelligence platform. Required Qualifications Codes using programming language used for statistical analysis and modeling such as Python/Java/Scala/C# Strong understanding of database systems and data warehousing solutions. Strong understanding of the data interconnections between organizations’ operational and business functions. Strong understanding of the data life cycle stages - data collection, transformation, analysis, storing the data securely, providing data accessibility Strong understanding of the data environment to ensure that it can scale for the following demands: Throughput of data, increasing data pipeline throughput, analyzing large amounts of data, Real-time predictions, insights and customer feedback, data security, data regulations, and compliance. Strong knowledge of data structures, as well as data filtering and data optimization. Strong understanding of analytic reporting technologies and environments (e.g., PBI, Looker, Qlik, etc.) Strong understanding of a cloud services platform (e.g., GCP, or AZURE, or AWS) and all the data life cycle stages. Azure Preferred. Understanding of distributed systems and the underlying business problem being addressed, as well as guides team members on how their work will assist by performing data analysis and presenting findings to the stakeholders. Bachelor’s degree in MIS, mathematics, statistics, or computer science, international equivalent, or equivalent job experience. Required Skills 3 years of experience with Databricks Other required experience includes: SSIS/SSAS, Apache Spark, Python, R and SQL, SQL Server Preferred Skills Scala, DeltaLake Unity Catalog, Azure Logic Apps, Cloud Services Platform (e.g., GCP, or AZURE, or AWS) Type De Contrat en CDI Chez UPS, égalité des chances, traitement équitable et environnement de travail inclusif sont des valeurs clefs auxquelles nous sommes attachés. Show more Show less