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Deloitte

<div>
 
 
 Your potential, unleashed.
 
 
 
 India&rsquo;s impact on the global economy has increased at an exponential rate and Deloitte presents an opportunity to unleash and realize your potential amongst cutting edge leaders, and organizations shaping the future of the region, and indeed, the world beyond.
 
 
 At Deloitte, your whole self to work, every day. Combine that with our drive to propel with purpose and you have the perfect playground to collaborate, innovate, grow, and make an impact that matters.
 
 
 
 
 
 
 The Team
 
 
 
 Deloitte&rsquo;s Technology &amp; Transformation practice can help you uncover and unlock the value buried deep inside vast amounts of data. Our global network provides strategic guidance and implementation services to help companies manage data from disparate sources and convert it into accurate, actionable information that can support fact-driven decision-making and generate an insight-driven advantage. Our practice addresses the continuum of opportunities in business intelligence &amp; visualization, data management, performance management and next-generation analytics and technologies, including big data, cloud, cognitive and machine learning.
 
 
 
 
 
 
 Work you&rsquo;ll do
 
 
 
 Total Experience - 7 to 11 Years
 
 
 Relevant Experience - 5+
 
 
 Location - Bangalore
 
 
 
 
 
 
 Roles and Responsibilities:
 
 
 
 The Data Engineer will work on data engineering projects for various business units, focusing on delivery of complex data management solutions by leveraging industry best practices. They work with the project team to build the most efficient data pipelines and data management solutions that make data easily available for consuming applications and analytical solutions. A Data engineer is expected to possess strong technical skills.
 
 
 
 
 
 
 Experience: -
 
 
 <ul>
 <li>
 Knowledge of and skills in various programming languages primarily Python
 </li>
 <li>
 Must have knowledge on Back-end frameworks, Pandas, Numpy, Matplotlib/Seaborn
 </li>
 <li>
 Thorough understanding of containers and functions. Deployment experience with Kubernetes (K8s) or Functions is highly desirable.
 </li>
 <li>
 Experience using Cloud Native CI/CD tools (Azure Pipelines/Circle CI/Jenkins X).
 </li>
 <li>
 Experience deploying workloads to AWS or Azure with strong knowledge and understanding of the cloud provider's API / associated services and infrastructure
 </li>
 <li>
 Experience in test driven development &amp; writing of unit and integration tests is a must
 </li>
 <li>
 Knowledge of other Cloud (Google Cloud Platform, Cloudera etc), and Integration services technologies is highly desirable.
 </li>
 <li>
 Experience working in agile teams with demonstrated application of the principles.
 </li>
 <li>
 Demonstrable proficiency in developing complex JavaScript applications.
 </li>
 <li>
 Experience of working with lean startup/agile development methodologies
 </li>
 <li>
 Strong analytical, problem-solving, and troubleshooting skills.
 </li>
 <li>
 Experienced with modern coding, testing, debugging and automation techniques.
 </li>
 <li>
 Rave about the benefits of CI/CD
 </li>
 <li>
 Have a high bar for user experience and quality.
 </li>
 <li>
 You are data driven and customer obsessed.
 </li>
 <li>
 Good communication skills.
 </li>
 </ul>
 
 
 
 
 
 Key Characteristics
 
 
 <ul>
 <li>
 Availability to solve production issues/taking ownership of interfaces deployed on prod etc
 </li>
 <li>
 Understanding in RDBMS and NoSQL databases (e.g., PostgreSQL, MongoDB).
 </li>
 <li>
 Ability to troubleshoot and resolve database issues.
 </li>
 <li>
 In-depth knowledge and experience in RESTful API interfaces.
 </li>
 <li>
 Comprehensive understanding of ETL processes from end-to-end.
 </li>
 <li>
 Technology champion who constantly pursues skill enhancement and has inherent curiosity to understand work from multiple dimensions.
 </li>
 <li>
 Interest and passion in Big Data technologies and appreciates the value that can be brought in with an effective data management solution.
 </li>
 <li>
 Has worked on real data challenges and handled high volume, velocity, and variety of data.
 </li>
 <li>
 Is proficient in designing data integrations and data processes across different types of architecture patterns using native cloud services, or custom application codes
 </li>
 <li>
 Excellent analytical &amp; problem-solving skills, willingness to take ownership and resolve technical challenges.
 </li>
 <li>
 Contributes to community building initiatives like CoE, CoP.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Mandatory Skills
 
 
 <ul>
 <li>
 Programming Languages: Proficiency in Python and PySpark is paramount. Should have knowledge of data processing using Pandas, Numpy and relevant libraries to handle data.
 </li>
 <li>
 Databases: Strong knowledge of SQL and NoSQL databases
 </li>
 <li>
 Big Data Technologies: Experience with frameworks like Apache Spark, Hadoop, and Kafka for processing large datasets
 </li>
 <li>
 Cloud Computing: Familiarity with cloud platforms like Azure(preferred)/AWS(good to have) and their data services (e.g., Data Factory, Databricks, Synapse, Redshift)
 </li>
 <li>
 ETL/ELT &amp; Data Warehousing: Expertise in designing and implementing ETL (Extract, Transform, Load) processes, and data modelling for efficient data warehousing
 </li>
 <li>
 Data Pipelines: Ability to develop, optimize, and maintain robust and scalable data pipelines
 </li>
 <li>
 Should have a good understanding of optimization techniques and able to resolve performance bottlenecks
 </li>
 <li>
 Knowledge of web frameworks and API is beneficial
 </li>
 </ul>
 
 
 
 
 
 How you&rsquo;ll grow
 
 
 
 At Deloitte, our professional development plan focuses on helping people at every level of their career to identify and use their strengths to do their best work every day. From entry-level employees to senior leaders, we believe there&rsquo;s always room to learn. We offer opportunities to help build world-class skills in addition to hands-on experience in the global, fast-changing business world. From on-the-job learning experiences to formal development
 
 
 Programs at Deloitte University, our professionals have a variety of opportunities to continue to grow throughout their career. Explore Deloitte University, The Leadership Centre.
 
 
 
 
 
 
 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 purpose
 
 
 
 Deloitte is led by a purpose:
 
 To make an impact that matters
 
 .
 
 
 Every day, Deloitte people are making a real impact in the places they live and work. We pride ourselves on doing not only what is good for clients, but also what is good for our people and the communities in which we live and work&mdash;always striving to be an organization that is held up as a role model of quality, integrity, and positive change. Learn more about Deloitte's impact on the world
 
 
 
 
 
 
 Interview tips
 
 
 
 We want job seekers exploring opportunities at Deloitte to feel prepared and confident. To help you with your interview, we suggest that you do your research: know some background about the organization and the business area you&rsquo;re applying to. Check out recruiting tips from Deloitte professionals.
 
</div>

Python Data Engineer

Takeda

<div>
 By clicking the &ldquo;Apply&rdquo; button, I understand that my employment application process with Takeda will commence and that the information I provide in my application will be processed in line with Takeda&rsquo;s Privacy Notice and Terms of Use. I further attest that all information I submit in my employment application is true to the best of my knowledge.
 
 
 
 Job Description:
 
 
 
 
 The Future Begins Here:
 
 
 
 At Takeda, we are leading digital evolution and global transformation. By building innovative solutions and future-ready capabilities, we are meeting the need of patients, our people, and the planet.
 
 
 Bengaluru, the city, which is India&rsquo;s epicenter of Innovation, has been selected to be home to Takeda&rsquo;s recently launched Innovation Capability Center. We invite you to join our digital transformation journey. In this role, you will have the opportunity to boost your skills and become the heart of an innovative engine that is contributing to global impact and improvement.
 
 
 
 At Takeda&rsquo;s ICC we Unite in Diversity:
 
 
 
 Takeda is committed to creating an inclusive and collaborative workplace, where individuals are recognized for their backgrounds and abilities they bring to our company. We are continuously improving our collaborators journey in Takeda, and we welcome applications from all qualified candidates. Here, you will feel welcomed, respected, and valued as an important contributor to our diverse team
 
 
 
 About the role :
 
 
 
 As a Data Engineer, you will play an important role in supporting the design and implementation of data infrastructure and flow systems at Takeda. We are seeking an innovative and excited individual to aid in data collection and processing, allowing all business stakeholders to have access to data insights. In your role, you will collaborate closely with Data Engineer team members to help develop and maintain a robust data infrastructure, streamlining informed decision-making within Takeda. Your contributions will be integral to enhancing Takeda&rsquo;s dashboards and reporting, providing actionable insights to stakeholders throughout the business.
 
 
 In this role, you will be a part of ICC PDT Digital Analytics team. This team drives business insights to analyse and interpret the organization&rsquo;s data with the purpose of drawing conclusions about information and trends. This role will work closely with the Senior Data Engineers on executing complex tasks. This role will also align to the Data &amp; Analytics chapter of the ICC as a competency.
 
 
 This position will report to the Data Engineer lead for direction and Day-to-day management.
 
 
 
 How you will contribute :
 
 
 
 <ul>
 <li>
 Support the development and maintenance of data architecture and pipelines.
 </li>
 <li>
 Support the standardization, customization, and ad hoc data analysis by developing mechanisms that analyze and clean data.
 </li>
 <li>
 Utilize AWS technologies to build new integrations for increased data source, volume, and complexity.
 </li>
 <li>
 Outline data requirements for gathering and mining large-scale data.
 </li>
 <li>
 Support the implementation processes that drive data reconciliation and quality, ensuring production data is always accurate and available for key stakeholders, downstream systems, and business processes.
 </li>
 <li>
 Participate in the evaluation, implementation, and deployment of emerging tools for analytic data engineering to improve productivity.
 </li>
 <li>
 Coordinate with Senior Data Engineers to write unit, integration, and performance test scripts that perform data analysis.
 </li>
 <li>
 Support Business Analytics and Solution Architects to develop technical architectures for strategic enterprise projects and initiatives.
 </li>
 <li>
 Collaborate with Senior Data Engineers and Data Scientists to understand data requirements, and design solutions that enable advanced analytics, machine learning, and predictive modelling.
 
 
 </li>
 </ul>
 
 Minimum Requirements/Qualifications :
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s Degree in Engineering, Computer Science, Data Science, or related field.
 </li>
 <li>
 3-5 year of experience in software development, data science, data engineering, ETL, and analytics reporting development
 </li>
 <li>
 Knowledge of designing, building, implementing, and maintaining data and system integrations, understand software being leveraged
 </li>
 <li>
 Demonstrated understanding and experience using
 </li>
 <ul>
 <li>
 Data Engineering Programming Languages (i.e., Python, SQL)
 </li>
 <li>
 Distributed Data Framework (e.g., Spark)
 </li>
 <li>
 Cloud platform services (AWS/ Azure preferred)
 </li>
 <li>
 Relational Databases (Postgres/ SQL server)
 </li>
 <li>
 DevOps and continuous integration
 </li>
 <li>
 AWS knowledge on services like Lambda, DMS, Step Functions, S3, Event Bridge, Cloud Watch, Aurora RDS or related AWS ETL services
 </li>
 <li>
 Knowledge of Data lakes, Data warehouses
 </li>
 <li>
 Databricks/Delta Lakehouse architecture
 </li>
 <li>
 Code management platforms like Github/ Gitlab/ etc.,
 </li>
 <li>
 Job orchestration tools like Tidal/ Airflow
 </li>
 </ul>
 <li>
 Understanding of database architecture and administration
 </li>
 <li>
 Knowledge of the principles of continuous integration and delivery to automate the deployment of code changes to elevate environments, fostering enhanced code quality, test coverage, and automation of resilient test cases
 </li>
 <li>
 Proficient written and verbal communication skills, including storytelling and interacting effectively with multifunctional teams and other strategic partners
 </li>
 <li>
 Willingness to learn and collaborate with Senior and Mid-Level Data Engineers
 </li>
 <li>
 Strong problem solving and attention to detail skills
 </li>
 <li>
 Ability to work in a fast-paced environment
 
 </li>
 </ul>
 
 Preferred skillsets:
 
 
 
 <ul>
 <li>
 Experience working in a global environment
 </li>
 <li>
 Ability to support Senior Data Engineers in designing and implementing complex data solutions
 </li>
 <li>
 Demonstrated understanding and experience using
 </li>
 <ul>
 <li>
 Knowledge in CDK
 </li>
 <li>
 Experience in IICS Data Integration tool
 </li>
 <li>
 Job orchestration tools like Tidal/Airflow/ or similar
 </li>
 <li>
 Knowledge on No SQL
 </li>
 </ul>
 <li>
 Proficiency in leveraging the Databricks Unity Catalog for effective data governance and implementing robust access control mechanisms is highly advantageous.
 </li>
 <li>
 Databricks Certified Data Engineer Associate and/or AWS Certified Data Engineer
 
 </li>
 </ul>
 
 BENEFITS:
 
 
 
 It is our priority to provide competitive compensation and a benefit package that bridges your personal life with your professional career. Amongst our benefits are
 
 
 <ul>
 <li>
 Competitive Salary + Performance Annual Bonus
 </li>
 <li>
 Flexible work environment, including hybrid working
 </li>
 <li>
 Comprehensive Healthcare Insurance Plans for self, spouse, and children
 </li>
 <li>
 Group Term Life Insurance and Group Accident Insurance programs
 </li>
 <li>
 Employee Assistance Program
 </li>
 <li>
 Broad Variety of learning platforms
 </li>
 <li>
 Diversity, Equity, and Inclusion Programs
 </li>
 <li>
 Reimbursements &ndash; Home Internet &amp; Mobile Phone
 </li>
 <li>
 Employee Referral Program
 </li>
 <li>
 Leaves &ndash; Paternity Leave (4 Weeks) , Maternity Leave (up to 26 weeks), Bereavement Leave (5 calendar days)
 
 
 </li>
 </ul>
 
 ABOUT ICC IN TAKEDA:
 
 
 
 <ul>
 <li>
 Takeda is leading a digital revolution. We&rsquo;re not just transforming our company; we&rsquo;re improving the lives of millions of patients who rely on our medicines every day.
 </li>
 <li>
 As an organization, we are committed to our cloud-driven business transformation and believe the ICCs are the catalysts of change for our global organization.
 
 
 </li>
 </ul>
 
 Locations:
 
 
 
 IND - Bengaluru
 
 
 
 Worker Type:
 
 
 
 Employee
 
 
 
 Worker Sub-Type:
 
 
 
 Regular
 
 
 
 Time Type:
 
 
 
 Full time
 
 
</div>

Data Engineer for Data & Analytics

Gruve

<div>
 
 About Gruve
 
 
 
 Gruve is an innovative software services startup dedicated to transforming enterprises to AI powerhouses. We specialize in cybersecurity, customer experience, cloud infrastructure, and advanced technologies such as Large Language Models (LLMs). Our mission is to assist our customers in their business strategies utilizing their data to make more intelligent decisions. As a well-funded early-stage startup, Gruve offers a dynamic environment with strong customer and partner networks.
 
 
 
 Position Summary
 
 
 
 We are seeking a Senior Software Development Engineer &ndash; Data Engineering with 3-5 years of experience to design, develop, and optimize data pipelines and analytics workflows using Snowflake, Databricks, and Apache Spark. The ideal candidate will have a strong background in big data processing, cloud data platforms, and performance optimization to enable scalable data-driven solutions.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Work with cloud-based data solutions (Azure, AWS, GCP).
 </li>
 <li>
 Implement data modeling and warehousing solutions.
 </li>
 <li>
 Developing and maintaining data pipelines for efficient data extraction, transformation, and loading (ETL) processes.
 </li>
 <li>
 Designing and optimizing data storage solutions, including data warehouses and data lakes.
 </li>
 <li>
 Ensuring data quality and integrity through data validation, cleansing, and error handling.
 </li>
 <li>
 Collaborating with data analysts, data architects, and software engineers to understand data requirements and deliver relevant data sets (e.g., for business intelligence).
 </li>
 <li>
 Implementing data security measures and access controls to protect sensitive information.
 </li>
 <li>
 Monitor and troubleshoot issues in data pipelines, notebooks, and SQL queries to ensure seamless data processing.
 </li>
 <li>
 Develop and maintain Power BI dashboards and reports.
 </li>
 <li>
 Work with DAX and Power Query to manipulate and transform data.
 
 
 </li>
 </ul>
 
 Basic Qualifications
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or master&rsquo;s degree in computer science or data science
 </li>
 <li>
 3-5 years of experience in data engineering, big data processing, and cloud-based data platforms.
 </li>
 <li>
 Proficient in SQL, Python, or Scala for data manipulation and processing.
 </li>
 <li>
 Proficient in developing data pipelines using Azure Synapse, Azure Data Factory, Microsoft Fabric.
 </li>
 <li>
 Experience with Apache Spark, Databricks and Snowflake is highly beneficial for handling big data and cloud-based analytics solutions.
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Knowledge of streaming data processing (Apache Kafka, Flink, Kinesis, Pub/Sub).
 </li>
 <li>
 Experience in BI and analytics tools (Tableau, Power BI, Looker).
 </li>
 <li>
 Familiarity with data observability tools (Monte Carlo, Great Expectations).
 </li>
 <li>
 Contributions to open-source data engineering projects.
 
 
 </li>
 </ul>
 &zwj;
 
 
 
 Why Gruve
 
 
 
 At Gruve, we foster a culture of innovation, collaboration, and continuous learning. We are committed to building a diverse and inclusive workplace where everyone can thrive and contribute their best work. If you&rsquo;re passionate about technology and eager to make an impact, we&rsquo;d love to hear from you.
 
 
 Gruve is an equal opportunity employer. We welcome applicants from all backgrounds and thank all who apply; however, only those selected for an interview will be contacted.
</div>

Software Development Engineer (Data Engineering)

Tata Consultancy Services

<div>
 
 
 Greetings from TCS!
 
 
 
 
 
 
 
 
 We are looking for
 
 Snowflake Developer
 
 
 
 
 Experience: 3 - 8 Years
 
 
 
 
 Location: Gandhinagar, Bangalore , Pune, Noida
 
 
 
 
 
 
 
 Must-Have
 
 
 
 
 
 <ul>
 <li>
 3+ Years Handson on Snowflake development &amp; features like Time Travel and Zero-Copy Cloning
 </li>
 <li>
 Expertise in building data pipelines and CI/CD pipelines (tools and processes)
 </li>
 <li>
 Should have a strong grasp of SQL, knowledge on Python scripting and cloud-based technologies
 </li>
 <li>
 Hands on Experience in any ETL (Extract, Transform, Load) tools Informatica, Talend etc.
 </li>
 <li>
 Good understanding of Data Modeling and Data Lake concepts
 </li>
 <li>
 Should be well-versed in Snowflake's unique features, like handling of semi-structured data and its approach to data sharing and security.
 </li>
 <li>
 Ability to deal with both On-premises and Cloud systems.
 </li>
 <li>
 Having good communication skills,
 
 
 Analytical thinking &amp; Problem-solving capabilities
 </li>
 <li>
 Team player with ability to work in a dynamic environment.
 </li>
 <li>
 Certifications in snowflake and cloud technologies will be preferred.
 </li>
 </ul>
 
 
 
 
 
 Good-to-Have
 
 
 
 
 
 
 
 Responsibility of / Expectations from the Role
 
 
 
 
 
 <ul>
 <li>
 Design and implement scalable and efficient data storage solutions using Snowflake.
 </li>
 <li>
 Write, optimize, and troubleshoot SQL queries within the Snowflake environment.
 </li>
 <li>
 Integrate Snowflake with various data sources and third-party tools.
 </li>
 <li>
 Ensure data security and compliance with industry standards.
 </li>
 <li>
 Create authorization frameworks for better access control
 </li>
 <li>
 Solve performance issues and scalability issues in the system
 </li>
 <li>
 Planning and development of data pipelines and data integrations involving multiple sources.
 </li>
 <li>
 Develop&amp; Maintain ETL Pipelines using snowflake features
 </li>
 <li>
 Create views, stored procedures &amp; UDF&rsquo;s for reusable business logic
 </li>
 <li>
 Having experience in cloud technologies like ASW, GCP integration with snowflake
 </li>
 </ul>
 
 
</div>

Software Engineer

<div>
 
 Summary
 
 
 
 
 Position Summary
 
 
 
 
 Artificial Intelligence &amp; Engineering
 
 
 
 AI &amp; Engineering leverages cutting-edge engineering capabilities to help build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions insights are powered by engineering for business advantage, helping transforming mission-critical operations.
 
 
 Join our AI &amp; Engineering team to help in transforming technology platforms, driving innovation, and helping help make a significant impact on our clients' success achievements. You&rsquo;ll work alongside talented professionals reimagining and re-engineering operations and processes that are could be critical to businesses.
 
 
 
 Position Summary
 
 
 
 
 Level:
 
 Consultant
 
 
 As an experienced Consultant at Deloitte Consulting, you will be responsible for individually delivering high quality work products within due timelines. Need-basis you will be mentoring and/or directing junior team members/liaising with onsite/offshore teams to understand the functional requirements.
 
 
 
 Work you&rsquo;ll do:
 
 
 
 Apply industry knowledge to requirements gathering and analysis, ensuring alignment with sector needs. Demonstrate expertise across the entire software development lifecycle, from design and coding to deployment and defect resolution, collaborating with stakeholders for effective delivery. Conduct peer and team reviews to maintain quality standards. Actively engage in Agile practices, including sprint planning, retrospectives, and effort estimation. Build and share business process knowledge, supporting project knowledge management and team training. Proactively recommend process improvements, track efficiency gains, and contribute to automation and innovation, all aimed at enhancing project outcomes and delivering greater value to clients.
 
 
 
 The team:
 
 
 
 AI &amp; Data offers a full spectrum of solutions for designing, developing, and operating cutting-edge Data and AI platforms, products, insights, and services. Our offering helps clients innovate, and enhance their data, AI, and analytics capabilities, ensuring they can mature and scale effectively.
 
 
 AI &amp; Data professionals will work with our clients to:
 
 
 <ul>
 <li>
 Design and modernize large-scale data and analytics platforms including data management, governance and the integration of structured and unstructured data to generate insights leveraging cloud, edge and AI/ML technologies, platforms and methodologies for storage, processing
 </li>
 <li>
 Leverage automation, cognitive and AI based solutions to manage data, predict scenarios and prescribe actions
 </li>
 <li>
 Drive operational efficiency by managing and upgrading their data ecosystems and application platforms, utilizing analytics expertise and providing As-a-Service models to ensure continuous insights and enhancements.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 
 Must Have Skills/Project Experience/Certifications:
 
 
 
 <ul>
 <li>
 3-6 years of hands-on experience in data engineering with a proven track record in using Databricks on Azure showing successful project delivery.
 </li>
 <li>
 Strong working knowledge is essential; Scala is beneficial but optional.
 </li>
 <li>
 Solid understanding of these big data technologies and concepts.
 </li>
 <li>
 Ability to create frameworks for data ingestion and quality validation using PySpark.
 </li>
 <li>
 Experience constructing data pipelines using these Databricks features.
 </li>
 <li>
 Proven expertise in tuning Databricks/Spark jobs for better resource usage and faster processing.
 </li>
 <li>
 Demonstrated teamwork, analytical, and troubleshooting abilities.
 
 
 </li>
 </ul>
 
 Good to Have Skills/Project Experience/Certifications:
 
 
 
 <ul>
 <li>
 Experience with cloud databases, ADLS Gen2, Key Vault, Cosmos DB, Data Factory, Synapse.
 </li>
 <li>
 Familiarity with data warehouses/marts, data lakes, 3NF, and dimensional modeling.
 </li>
 <li>
 Hands-on experience with Databricks Unity Catalog (including fine-grained access control).
 </li>
 <li>
 Experience with Apache Airflow for orchestration.
 
 
 </li>
 </ul>
 
 Education:
 
 
 
 <ul>
 <li>
 BE/B.Tech/M.C.A./M.Sc (CS) degree or equivalent from accredited university
 
 
 </li>
 </ul>
 
 Location:
 
 
 
 <ul>
 <li>
 Bengaluru/Hyderabad/Pune/Chennai/Kolkata
 
 
 </li>
 </ul>
 
 Our purpose
 
 
 
 Deloitte&rsquo;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.
 
 
 
 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.
 
 
 
 Professional development
 
 
 
 At Deloitte, professionals have the opportunity to work with some of the best and discover what works best for them. Here, we prioritize professional growth, offering diverse learning and networking opportunities to help accelerate careers and enhance leadership skills. Our state-of-the-art DU: The Leadership Center in India, located in Hyderabad, represents a tangible symbol of our commitment to the holistic growth and development of our people. Explore DU: The Leadership Center in India .
 
 
 
 Benefits To Help You Thrive
 
 
 
 At Deloitte, we know that great people make a great organization. Our comprehensive rewards program helps us deliver a distinctly Deloitte experience that helps that empowers our professionals to thrive mentally, physically, and financially&mdash;and live their purpose. To support our professionals and their loved ones, we offer a broad range of benefits. Eligibility requirements may be based on role, tenure, type of employment and/ or other criteria. Learn more about what working at Deloitte can mean for you.
 
 
 
 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.
 
 
 Requisition code: 300093
</div>

Consultant-Databricks

HCLTech

<div>
 
 
 Job Title:
 
 
 
 
 ML Ops Engineer / ML Engineer
 
 
 
 Experience - 5Yrs -20 Yrs
 
 
 Location - Chennai / Bangalore / Hyderabad / Pune / Noida / Mumbai/
 
 
 
 
 
 
 Job Overview:
 
 
 
 We are looking for an experienced MLOps Engineer to help deploy, scale, and manage machine learning models in production environments. You will work closely with data scientists and engineering teams to automate the machine learning lifecycle, optimize model performance, and ensure smooth integration with data pipelines.
 
 
 
 
 
 
 Key Responsibilities:
 
 
 
 
 Transform prototypes into production-grade models
 
 
 <ul>
 <li>
 Assist in building and maintaining machine learning pipelines and infrastructure across cloud platforms such as AWS, Azure, and GCP.
 </li>
 <li>
 Develop REST APIs or FastAPI services for model serving, enabling real-time predictions and integration with other applications.
 </li>
 <li>
 Collaborate with data scientists to design and develop drift detection and accuracy measurements for live models deployed.
 </li>
 <li>
 Collaborate with data governance and technical teams to ensure compliance with engineering standards.
 </li>
 </ul>
 
 
 Maintain models in production
 
 
 <ul>
 <li>
 Collaborate with data scientists and engineers to deploy, monitor, update, and manage models in production.
 </li>
 <li>
 Manage the full CI/CD cycle for live models, including testing and deployment.
 </li>
 <li>
 Develop logging, alerting, and mitigation strategies for handling model errors and optimize performance.
 </li>
 <li>
 Troubleshoot and resolve issues related to ML model deployment and performance.
 </li>
 <li>
 Support both batch and real-time integrations for model inference, ensuring models are accessible through APIs or scheduled batch jobs, depending on use case.
 </li>
 </ul>
 
 
 Contribute to AI platform and engineering practices
 
 
 <ul>
 <li>
 Contribute to the development and maintenance of the AI infrastructure, ensuring the models are scalable, secure, and optimized for performance.
 </li>
 <li>
 Collaborate with the team to establish best practices for model deployment, version control, monitoring, and continuous integration/continuous deployment (CI/CD).
 </li>
 <li>
 Drive the adoption of modern AI/ML engineering practices and help enhance the team&rsquo;s MLOps capabilities.
 </li>
 <li>
 Develop and maintain Flask or FastAPI-based microservices for serving models and managing model APIs.
 </li>
 </ul>
 
 
 
 
 
 Minimum Required Skills:
 
 
 <ul>
 <li>
 Bachelor's degree in computer science, analytics, mathematics, statistics.
 </li>
 <li>
 Strong experience in Python, SQL, Pyspark.
 </li>
 <li>
 Solid understanding and knowledge of containerization technologies (Docker, Podman, Kubernetes).
 </li>
 <li>
 Proficient in CI/CD pipelines, model monitoring, and MLOps platforms (e.g., AWS SageMaker, Azure ML, MLFlow).
 </li>
 <li>
 Proficiency in cloud platforms, specifically AWS, Azure and GCP.
 </li>
 <li>
 Familiarity with ML frameworks such as TensorFlow, PyTorch, Scikit-learn.
 </li>
 <li>
 Familiarity with batch processing integration for large-scale data pipelines.
 </li>
 <li>
 Experience with serving models using FastAPI, Flask, or similar frameworks for real-time inference.
 </li>
 <li>
 Certifications in AWS, Azure or ML technologies are a plus.
 </li>
 <li>
 Experience with Databricks is highly valued.
 </li>
 <li>
 Strong problem-solving and analytical skills.
 </li>
 <li>
 Ability to work in a team-oriented, collaborative environment.
 </li>
 </ul>
 
 
 
 
 
 Tools and Technologies:
 
 
 
 
 Model Development &amp; Tracking:
 
 TensorFlow, PyTorch, scikit-learn, MLflow, Weights &amp; Biases
 
 
 
 Model Packaging &amp; Serving:
 
 Docker, Kubernetes, FastAPI, Flask, ONNX, TorchScript
 
 
 
 CI/CD &amp; Pipelines:
 
 GitHub Actions, GitLab CI, Jenkins, ZenML, Kubeflow Pipelines, Metaflow
 
 
 
 Infrastructure &amp; Orchestration:
 
 Terraform, Ansible, Apache Airflow, Prefect
 
 
 
 Cloud &amp; Deployment:
 
 AWS, GCP, Azure, Serverless (Lambda, Cloud Functions)
 
 
 
 Monitoring &amp; Logging:
 
 Prometheus, Grafana, ELK Stack, WhyLabs, Evidently AI, Arize
 
 
 
 Testing &amp; Validation:
 
 Pytest, unittest, Pydantic, Great Expectations
 
 
 
 Feature Store &amp; Data Handling:
 
 Feast, Tecton, Hopsworks, Pandas, Spark, Dask
 
 
 
 Message Brokers &amp; Data Streams:
 
 Kafka, Redis Streams
 
 
 
 Vector DB &amp; LLM Integrations (optional):
 
 Pinecone, FAISS, Weaviate, LangChain, LlamaIndex, PromptLayer
 
</div>

Machine Learning Engineer

<div>
 
 
 About ADM:
 
 
 
 We are one of the world&rsquo;s largest nutrition companies and a global leader in human and animal nutrition. We unlock the power of nature to provide nourishing quality of life by transforming crops into ingredients and solutions for foods, beverages, supplements, livestock, aquaculture, and pets.
 
 
 
 
 
 
 About ADM India Hub:
 
 
 
 At ADM, we have long recognized the strength and potential of India&rsquo;s talent pool, which is why we have maintained a presence in the country for more than 25 years. Building on this foundation, we have now established ADM India Hub, our first GCC in India.
 
 
 At ADM India Hub, we are hiring for IT and finance roles across diverse technology and business functions. We stand at the intersection of global expertise and local excellence, enabling us to drive innovation and support our larger purpose of unlocking the power of nature to enrich quality of life.
 
 
 
 
 
 
 Job Title:
 
 
 
 
 Data Engineer I
 
 
 
 
 Job Summary:
 
 
 
 Do you want to join a team passionate about engineering data solutions to inform business decisions and transform business performance? ADM is seeking a Data Engineer, someone who thrives in an environment continuously integrating and deploying data products and analytics driving business value. The Data Engineer is a team player who sees problems as challenges to be creatively solved in collaboration with other data engineers, data scientists, and business colleagues. The ideal candidate is a driven learner who develops and sharpens skills building data pipelines, transforming raw data into useful data systems, and optimizing the data delivery architecture.
 
 
 
 
 
 
 Job Responsibilities:
 
 
 <ul>
 <li>
 Learn to design, build, refactor, and maintain data pipelines using Microsoft Azure, Databricks, SAP Datasphere, SQL, Azure Data Factory , Python, and PySpark to meet business requirements for reporting, analysis, and data science
 </li>
 <li>
 Participate in designing, and integrating fault tolerance and enhancements into data pipelines to improve quality and performance
 </li>
 <li>
 Monitor data pipelines using analytic tools to develop actionable insights into performance issues
 </li>
 <li>
 Perform root cause analysis and solve problems using analytical and technical skills to optimize data delivery and reduce costs
 </li>
 <li>
 Adhere to code standards and DataOps and MLOps best practices to accelerate and continuously improve data system performance
 </li>
 </ul>
 
 
 
 
 
 Job Requirements:
 
 
 <ul>
 <li>
 Knowledge of Microsoft Azure, SQL, Databricks, SAP Datasphere, Azure Data Factory, Python, PySpark, Power BI or other cloud-based data systems
 </li>
 <li>
 Knowledge of Azure DevOps, GitHub, CI/CD are a plus
 </li>
 <li>
 Working knowledge of relational database systems
 </li>
 <li>
 Task management and organizational skills
 </li>
 <li>
 Knowledge of or demonstrated experience building cloud ETL pipelines using code or ETL platforms utilizing database connections, APIs, or file-based
 </li>
 <li>
 Knowledge of data manipulations and processing techniques to extract value from large, disconnected datasets
 </li>
 <li>
 Continuous learning to upskill data engineering techniques and business acumen
 </li>
 </ul>
 
 
 
 
 
 Education and Experience:
 
 
 <ul>
 <li>
 2+ years proven Data Engineering experience
 </li>
 <li>
 Bachelor&rsquo;s degree in computer science, software engineering, information technology or equivalent combination of data engineering professional experience and education
 </li>
 </ul>
</div>

Data Engineer I [T500-21306]

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