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data engineer i [t500-21306] Jobs in Mangaluru India

data engineer i [t500-21306]

data engineer

Weekday AI (YC W21)

<div>
 
 This role is for one of the Weekday's clients
 
 
 
 
 Salary range: Rs 3000000 - Rs 4000000 (ie INR 30-40 LPA)
 
 
 
 Min Experience: 5 years
 
 
 Location: Bengaluru
 
 
 JobType: full-timeWe are seeking an experienced
 
 Data Engineer
 
 to design, build, and maintain robust data pipelines and architectures that power analytics, interoperability, and data-driven decision-making across our healthcare ecosystem. The ideal candidate will have a strong background in
 
 Azure data services
 
 ,
 
 ETL development
 
 ,
 
 Databricks
 
 , and hands-on experience with
 
 FHIR (Fast Healthcare Interoperability Resources)
 
 standards. This role requires a mix of technical proficiency, problem-solving ability, and a deep understanding of healthcare data integration.
 
 
 
 Requirements
 
 
 
 
 
 Key Responsibilities
 
 
 
 
 <ul>
 <li>
 Data Pipeline Development: Design, develop, and optimize scalable ETL/ELT workflows to extract, transform, and load structured and unstructured healthcare data into Azure-based data platforms (e.g., Azure Data Lake, Azure Synapse, Databricks).
 </li>
 <li>
 FHIR Data Integration: Implement and manage FHIR-based data models and APIs for healthcare data interoperability. Ensure compliance with healthcare data standards and regulatory frameworks.
 </li>
 <li>
 Data Architecture &amp; Modeling: Develop logical and physical data models to support data warehousing, reporting, and analytics needs. Ensure data accuracy, integrity, and security across all stages of the data lifecycle.
 </li>
 <li>
 Databricks Development: Build and manage scalable data processing solutions using Azure Databricks. Optimize performance of large-scale data transformations using PySpark, SQL, or Scala.
 </li>
 <li>
 Data Quality &amp; Governance: Establish and maintain data quality frameworks, validation processes, and governance standards. Ensure consistent and compliant data handling across systems.
 </li>
 <li>
 Collaboration &amp; Stakeholder Management: Partner with data scientists, analysts, architects, and business teams to deliver reliable and accessible data assets. Translate business requirements into technical solutions.
 </li>
 <li>
 Performance Optimization: Monitor, troubleshoot, and enhance data pipelines for performance, scalability, and cost efficiency in the Azure environment.
 </li>
 <li>
 Documentation &amp; Best Practices: Maintain detailed documentation of architecture, data flows, and processes. Contribute to continuous improvement by implementing data engineering best practices and automation.
 
 
 </li>
 </ul>
 
 Required Skills &amp; Qualifications
 
 
 
 <li>
 Education: Bachelor's or Master's degree in Computer Science, Information Technology, Data Engineering, or a related field.
 </li>
 <li>
 Technical Skills:
 </li>
 <ul>
 <li>
 Strong expertise in Azure Data Services - Azure Data Factory, Azure Synapse, Azure Data Lake, and Azure SQL.
 </li>
 <li>
 Hands-on experience with Databricks for data processing, transformation, and analytics.
 </li>
 <li>
 Proven ability to design and maintain ETL/ELT pipelines using modern data engineering tools and frameworks.
 </li>
 <li>
 Proficiency in SQL, Python, or Scala for data manipulation and automation.
 </li>
 <li>
 Solid understanding of FHIR standards, data schemas, and API integration for healthcare data exchange.
 </li>
 <li>
 Experience with data modeling, metadata management, and data governance frameworks.
 </li>
 <li>
 Familiarity with CI/CD, Git, and DevOps practices in data engineering environments.
 </li>
 <li>
 Experience: 5-10 years of professional experience in data engineering, with at least 2 years of exposure to healthcare or interoperability projects leveraging FHIR.
 </li>
 <li>
 Soft Skills:
 </li>
 <ul>
 <li>
 Strong analytical and problem-solving abilities.
 </li>
 <li>
 Excellent communication and collaboration skills.
 </li>
 <li>
 Ability to work in a fast-paced, agile environment with cross-functional teams.
 
 
 </li>
 </ul>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Experience with HL7, CDA, or other healthcare interoperability standards.
 </li>
 <li>
 Exposure to machine learning data pipelines or advanced analytics environments.
 </li>
 <li>
 Azure certifications (e.g., Azure Data Engineer Associate) are a plus
 </li>
 </ul>
</div>

Data 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]

Capgemini

<div>
 
 Job Description
 
 
 
 Data Scientist Description:
 
 
 Degree and Qualification:
 
 
 <ul>
 <li>
 BE/B.Tech, ME/M.Tech in CSE/IT, Statistics, or a related field.
 </li>
 <li>
 Master&rsquo;s degree in data science, AI, or a related field is preferred.
 
 
 </li>
 </ul>
 Number of Years of Experience as a Data Analyst / Scientist: 3-8 years
 
 
 Language Skills:
 
 
 <ul>
 <li>
 Good communication skills in English, proficiency in German is an added advantage.
 
 
 </li>
 </ul>
 Domain Knowledge:
 
 
 <ul>
 <li>
 Strong understanding of supply chain and supplier performance evaluation processes.
 </li>
 <li>
 Familiarity with procurement, supplier management, inbound processes, and logistics concepts like goods receipt, delivery note, and part numbers.
 </li>
 <li>
 Basic knowledge of plant logistics and operational efficiency.
 
 
 </li>
 </ul>
 Technical Skills: Python, PySpark, SQL, Power BI (Advanced Level), Databricks, Azure/AWS, Machine Learning, Data Visualization, TensorFlow, PyTorch, and deploying ML models in production.
 
 
 Digital Expertise:
 
 
 <ul>
 <li>
 Power BI Desktop (advanced):
 </li>
 <li>
 Advanced knowledge of building dashboards, creating data models, and writing DAX expressions,
 </li>
 <li>
 Ability to develop custom visualizations in Power BI using Python scripts / other suitable methods to create charts and data representations not supported natively by Power BI
 </li>
 <li>
 Ability to write Python scripts to process and transform data within Power Query for advanced analytics and visualization scenarios.
 </li>
 <li>
 Strong design / Power BI UI/ UX skills to ensure Power BI dashboards aligns with business objectives and effectively tells a data-driven story.
 </li>
 <li>
 Power BI Service (advanced):: Experience in publishing, refreshing, and managing reports in Power BI Service, including RLS and data gateways.
 </li>
 <li>
 Machine Learning &amp; AI:
 </li>
 <li>
 Experience in building predictive models using machine learning algorithms such as regression, classification, clustering, and anomaly detection.
 </li>
 <li>
 Familiarity with AI concepts like neural networks, NLP, or reinforcement learning.
 </li>
 <li>
 Data Wrangling &amp; Analysis:
 </li>
 <li>
 Proficiency in Python and popular data libraries like Pandas, NumPy, and Scikit-learn.
 </li>
 <li>
 Experience in PySpark for distributed data processing and large-scale data transformation.
 </li>
 <li>
 Strong SQL skills for querying relational databases, optimizing queries, and handling complex datasets.
 </li>
 <li>
 Communication &amp; Stakeholder Management:
 </li>
 <li>
 Ability to effectively communicate technical insights to non-technical stakeholders.
 </li>
 <li>
 Strong customer-facing communication skills and experience collaborating with cross-functional teams.
 
 
 </li>
 </ul>
 Behavioral / Personal Skills:
 
 
 <ul>
 <li>
 Willingness to learn and apply new skills.
 </li>
 <li>
 High adaptability and readiness to handle unstructured tasks.
 </li>
 <li>
 Strong analytical mindset, with a focus on problem-solving and result-oriented thinking.
 </li>
 <li>
 Team player with excellent communication and interpersonal skills.
 
 
 </li>
 </ul>
 Job Location: Bengaluru
 
 
 Works in the area of Software Engineering, which encompasses the development, maintenance and optimization of software solutions/applications.1. Applies scientific methods to analyse and solve software engineering problems.2. He/she is responsible for the development and application of software engineering practice and knowledge, in research, design, development and maintenance.3. His/her work requires the exercise of original thought and judgement and the ability to supervise the technical and administrative work of other software engineers.4. The software engineer builds skills and expertise of his/her software engineering discipline to reach standard software engineer skills expectations for the applicable role, as defined in Professional Communities.5. The software engineer collaborates and acts as team player with other software engineers and stakeholders.
 
 
 
 Job Description - Grade Specific
 
 
 
 Has more than a year of relevant work experience. Solid understanding of programming concepts, software design and software development principles. Consistently works to direction with minimal supervision, producing accurate and reliable results. Individuals are expected to be able to work on a range of tasks and problems, demonstrating their ability to apply their skills and knowledge. Organises own time to deliver against tasks set by others with a mid term horizon. Works co-operatively with others to achieve team goals and has a direct and positive impact on project performance and make decisions based on their understanding of the situation, not just the rules.
</div>

Data Scientist Engineer

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)

Oracle

<div>
 
 Job Description
 
 
 
 At Oracle Health, we put humans at the heart of every conversation. Our mission is to create a human-centric healthcare experience powered by unified global data. As a global leader we&rsquo;re looking for a Data Engineer with BI to join an exciting project for replacing existing Data warehouse systems with the Oracle's own data warehouse to manage storage of all the internal corporate data to provide insights that will help our teams to make critical business decisions Join us and create the future!
 
 
 
 Responsibilities
 
 
 
 Career Level - IC3
 
 
 Roles and Responsibilities
 
 
 <ul>
 <li>
 Proficient in writing and optimising SQL queries for data extraction
 </li>
 <li>
 Translate client requirements to technical design that junior team members can implement
 </li>
 <li>
 Developing the code that aligns with the technical design and coding standards
 </li>
 <li>
 Review design and code implemented by other team members. Recommend better design and efficient code
 </li>
 <li>
 Conduct Peer design and Code Reviews for early detection of defects and code quality
 </li>
 <li>
 Documenting ETL processes and data flow diagrams
 </li>
 <li>
 Optimizing data extraction and transformation processes for better performance
 </li>
 <li>
 Performing data quality checks and debugging issues
 </li>
 <li>
 Conducting root cause analysis for data issues and implementing fixes
 </li>
 <li>
 Collaborating with more experienced developers on larger projects, collaborate with stakeholders on the requirements
 </li>
 <li>
 Participate in the requirements, design and implementation discussions
 </li>
 <li>
 Participating in learning and development opportunities to enhance technical skills
 </li>
 <li>
 Test storage system after transferring the data
 </li>
 <li>
 Exposures to Business Intelligence platforms like OAC, Power BI or Tableau
 
 
 
 </li>
 </ul>
 Technical Skills Set :
 
 
 <ul>
 <li>
 You must be strong in PLSQL concepts such as tables, keys, DDL, DML commands, etc.
 </li>
 <li>
 You need be proficient in writing, debugging complex SQL queries, Views and Stored Procedures.
 </li>
 <li>
 Strong hands on in Python / PySpark programming
 </li>
 <li>
 As a Data Engineer, you must be strong in data modelling, ETL / ELT concepts, programming / scripting Python language,
 </li>
 <li>
 You must be proficient in the following ETL process automation tools
 
 
 
 </li>
 </ul>
 &ensp;&ensp;&ensp;&ensp;&ensp;&ensp;
 
 
 <ul>
 <li>
 Oracle Data Integrator (ODI)
 
 
 
 </li>
 </ul>
 &ensp;&ensp;&ensp;&ensp;&ensp;&ensp;
 
 
 <ul>
 <li>
 Oracle Data Flow
 
 
 
 </li>
 </ul>
 &ensp;&ensp;&ensp;&ensp;&ensp;&ensp;
 
 
 <ul>
 <li>
 Oracle Database / Autonomous Data warehouse
 </li>
 <li>
 Should possess working knowledge in any of the cloud platform like Oracle Cloud (Preferred), Microsoft Azure, AWS
 </li>
 <li>
 You must be able to create technical design, build prototypes, build and maintain high performing data pipelines, optimise ETL pipelines
 </li>
 <li>
 Good knowledge on Business Intelligence development tools like OAC, PowerBI
 </li>
 <li>
 Good to have Microsoft ADF and Data Lakes, Databricks
 
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 Career Level - IC3
 
 
 
 About Us
 
 
 
 As a world leader in cloud solutions, Oracle uses tomorrow&rsquo;s technology to tackle today&rsquo;s challenges. We&rsquo;ve partnered with industry-leaders in almost every sector&mdash;and continue to thrive after 40+ years of change by operating with integrity.
 
 
 We know that true innovation starts when everyone is empowered to contribute. That&rsquo;s why we&rsquo;re committed to growing an inclusive workforce that promotes opportunities for all.
 
 
 Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs.
 
 
 We&rsquo;re committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing accommodation-request_mb@oracle.com or by calling +1 888 404 2494 in the United States.
 
 
 Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans&rsquo; status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.
</div>

Software Developer 3

Deloitte

<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

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

Explore 445+ Data engineer in Mangaluru India this November. Find roles across top companies and apply now to boost your career.