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data engineer-business intelligence Jobs in Mumbai

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data engineer

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 realise your potential amongst cutting edge leaders, and organisations 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.
 
 
 
 
 
 
 Job Summary
 
 
 
 We are seeking a skilled and detail-oriented Data Engineer with deep expertise in Azure, SQL Server, and Databricks to design, build, and manage scalable data pipelines and enterprise data solutions. This role will be critical in supporting our analytics, reporting, and data science initiatives by delivering high-quality, reliable, and performant data systems.
 
 
 
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Design, develop, and manage ETL/ELT pipelines using Azure Data Factory (ADF) and Databricks for batch and real-time data processing.
 </li>
 <li>
 Integrate data from various structured and unstructured sources including SQL Server, Azure SQL Database, Azure Data Lake Storage (ADLS), and external APIs.
 </li>
 <li>
 Build and maintain data models, data marts, and data warehouses using SQL Server and Azure Synapse Analytics.
 </li>
 <li>
 Write efficient and optimized SQL queries, stored procedures, views, and triggers in SQL Server.
 </li>
 <li>
 Use Databricks (Spark with Python/Scala) to process large datasets for transformation and analytics.
 </li>
 <li>
 Ensure data quality, integrity, security, and compliance across the pipeline using data validation, monitoring, and auditing techniques.
 </li>
 <li>
 Collaborate with data analysts, data scientists, and business stakeholders to define and deliver data solutions.
 </li>
 <li>
 Implement CI/CD pipelines using Azure DevOps .
 </li>
 <li>
 Monitor and optimize the performance of data pipelines and queries across Azure and SQL Server environments.
 </li>
 </ul>
 
 
 
 
 
 Required Skills &amp; Qualifications:
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Computer Science, Engineering, Information Systems, or related field.
 </li>
 <li>
 5+ years of experience in data engineering or related roles.
 </li>
 <li>
 Proven experience with:
 </li>
 <li>
 Azure Data Services: Data Factory, ADLS, Azure SQL, Azure Synapse
 </li>
 <li>
 Databricks (Azure implementation), including experience with Spark (Python or Scala).
 </li>
 <li>
 Microsoft SQL Server: Writing advanced SQL, stored procedures, and performance tuning.
 </li>
 <li>
 Strong understanding of data warehousing concepts, ETL/ELT best practices, and data modelling (star/snowflake schema).
 </li>
 <li>
 Familiarity with data governance, RBAC, and data security practices in Azure.
 </li>
 <li>
 Experience with CI/CD tools like Azure DevOps and version control with Git.
 </li>
 <li>
 Excellent problem-solving skills and the ability to work collaboratively in a fast-paced environment.
 </li>
 </ul>
 
 
 
 
 
 How you&rsquo;ll grow
 
 
 
 
 
 
 
 
 Connect for impact
 
 
 
 
 
 
 
 Our exceptional team of professionals across the globe are solving some of the world&rsquo;s most complex business problems, as well as directly supporting our communities, the planet, and each other. Know more in our Global Impact Report and our India Impact Report.
 
 
 
 
 
 
 
 Empower to lead
 
 
 
 
 
 
 
 You can be a leader irrespective of your career level. Our colleagues are characterised by their ability to inspire, support, and provide opportunities for people to deliver their best and grow both as professionals and human beings. Know more about Deloitte and our One Young World partnership.
 
 
 
 
 
 
 
 Inclusion for all
 
 
 
 
 
 
 
 At Deloitte, people are valued and respected for who they are and are trusted to add value to their clients, teams and communities in a way that reflects their own unique capabilities. Know more about everyday steps that you can take to be more inclusive.
 
 
 At Deloitte, we believe in the unique skills, attitude and potential each and every one of us brings to the table to make an impact that matters.
 
 
 
 
 
 
 
 Drive your career
 
 
 
 
 
 
 
 At Deloitte, you are encouraged to take ownership of your career. We recognise there is no one size fits all career path, and global, cross-business mobility and up / re-skilling are all within the range of possibilities to shape a unique and fulfilling career. Know more about Life at Deloitte.
 
 
 
 
 
 
 Everyone&rsquo;s welcome&hellip; entrust your happiness to us
 
 
 
 
 
 
 Our workspaces and initiatives are geared towards your 360-degree happiness. This includes specific needs you may have in terms of accessibility, flexibility, safety and security, and caregiving. Here&rsquo;s a glimpse of things that are in store for you.
 
 
 
 
 
 
 Interview tips
 
 
 
 
 
 
 We want job seekers exploring opportunities at Deloitte to feel prepared, confident and comfortable. To help you with your interview, we suggest that you do your research, know some background about the organisation and the business area you&rsquo;re applying to. Check out recruiting tips from Deloitte professionals.
 
</div>

Data Engineer

<div>
 
 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
 
 
 
 <ul>
 <li>
 Provide expertise in analysis, requirements gathering, design, coordination, customization, testing and support of reports, in client&rsquo;s environment
 </li>
 <li>
 Develop and maintain a strong working relationship with business and technical members of the team
 </li>
 <li>
 Relentless focus on quality and continuous improvement
 </li>
 <li>
 Perform root cause analysis of reports issues
 </li>
 <li>
 Development / evolutionary maintenance of the environment, performance, capability and availability.
 </li>
 <li>
 Assisting in defining technical requirements and developing solutions
 </li>
 <li>
 Effective content and source-code management, troubleshooting and debugging
 
 
 </li>
 </ul>
 
 Preferred Education
 
 
 
 Master's Degree
 
 
 
 Required Technical And Professional Expertise
 
 
 
 <ul>
 <li>
 Tableau Desktop Specialist, SQL -Strong understanding of SQL for Querying database Good to have - Python ; Snowflake, Statistics, ETL experience.
 </li>
 <li>
 Extensive knowledge on using creating impactful visualization using Tableau.
 </li>
 <li>
 Must have thorough understanding of SQL &amp; advance SQL (Joining &amp; Relationships).
 </li>
 <li>
 Must have experience in working with different databases and how to blend &amp; create relationships in Tableau.
 </li>
 <li>
 Must have extensive knowledge to creating Custom SQL to pull desired data from databases. Troubleshooting capabilities to debug Data controls
 
 
 </li>
 </ul>
 
 Preferred Technical And Professional Experience
 
 
 
 <ul>
 <li>
 Troubleshooting capabilities to debug Data controls Capable of converting business requirements into workable model.
 </li>
 <li>
 Good communication skills, willingness to learn new technologies, Team Player, Self-Motivated, Positive Attitude
 </li>
 </ul>
</div>

Data Engineer-Business Intelligence

Pinnacle Teleservices

<div>
 We are looking for two enthusiastic and technically sound Junior Data Center Engineers to support day-to-day operations at our Mumbai data center. The ideal candidates will assist in hardware installations, monitoring, troubleshooting, and maintaining the physical and virtual infrastructure under the guidance of the Senior System Administrator.
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Assist in installation and maintenance of servers, network devices, and racks.
 </li>
 <li>
 Monitor data center environment (temperature, humidity, power, etc.).
 </li>
 <li>
 Perform basic troubleshooting of hardware and network issues.
 </li>
 <li>
 Support remote hands requests and coordinate with internal teams.
 </li>
 <li>
 Maintain inventory of IT assets and ensure proper documentation.
 </li>
 <li>
 Assist in patching, cabling, and labeling of equipment.
 </li>
 <li>
 Follow SOPs for incident handling, escalation, and reporting.
 </li>
 <li>
 Ensure compliance with physical security and access protocols.
 </li>
 <li>
 Participate in scheduled maintenance and upgrade activities.
 
 
 </li>
 </ul>
 Technical Skills
 
 
 <ul>
 <li>
 Basic understanding of Windows/Linux OS.
 </li>
 <li>
 Familiarity with networking concepts (IP, DNS, DHCP).
 </li>
 <li>
 Exposure to virtualization platforms (VMware, Nutanix &ndash; preferred).
 </li>
 <li>
 Knowledge of data center operations and hardware components.
 </li>
 <li>
 Ability to work with monitoring tools and ticketing systems.
 </li>
 <li>
 Comfortable with hardware handling, cabling, and labeling.
 
 
 </li>
 </ul>
 Soft Skills
 
 
 <ul>
 <li>
 Good communication and interpersonal skills.
 </li>
 <li>
 Willingness to learn and adapt to new technologies.
 </li>
 <li>
 Attention to detail and strong documentation habits.
 </li>
 <li>
 Ability to work in shifts and under pressure.
 </li>
 <li>
 Team player with a proactive attitude.
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Diploma or Bachelor&rsquo;s in Computer Science, IT, or related field.
 </li>
 <li>
 Certifications like CCNA, CompTIA A+, or equivalent (optional but preferred).
 </li>
 </ul>
</div>

Junior Data Center Engineer

UltraTech Cement

<div>
 
 
 Key Result Areas:
 
 
 <ul>
 <li>
 Continuously assess and provide inputs to refine data science practices and strategies to ensure alignment with evolving business needs (New Fuels, Raw material, Equipment design or technology, or Product innovation) and Industry 4.0 technological advancements.
 </li>
 <li>
 Facilitate the redesign of business processes through digital solutions such as Generative AI and Knowledge graph, adopting a design thinking approach for ideation and employing Agile methodology for efficient execution.
 </li>
 <li>
 Utilize tools and methodologies eg: Python, PowerBI, Orange, GPTs for analyzing trends &amp; patterns within big data sets to inform business decisions across functions &amp; at all levels. Clean, preprocess, &amp; transform the data to ensure it's of high quality, with missing values handled &amp; outliers addressed.
 </li>
 <li>
 Employ advanced analytics techniques for predictive modeling &amp; machine learning algorithms like Neural Networks, XGBoost, Autoencoders etc to improve process and equipment reliability &amp; resilience to ever-increasing external sources of variability.
 </li>
 <li>
 Test, iterate, and deploy above tools as part of Pilot programs, inline with digital strategy roadmap.
 </li>
 <li>
 Conduct hands-on testing and validation of AI/ML models to gauge their effectiveness and refine their performance continually.
 </li>
 <li>
 Work closely with different business units to understand their needs and integrate data science solutions into their digital strategy.
 </li>
 <li>
 Implement continuous monitoring processes for AI models to ensure performance accuracy, detect drift, and make timely adjustments.
 </li>
 <li>
 Ensure seamless handover of solutions to Digital Execution team for scale up, and continuously monitor for improvement areas. Document the entire project, including data sources, methodologies, model architecture, and any decisions made throughout the process.
 </li>
 </ul>
 
 
 
 
 
 Qualifications:
 
 B.E/B.tech/ PG in data science
 
 
 
 Location:
 
 Worli, Mumbai
 
 
 
</div>

Data Scientist - AGM/ DGM/ GM

JPMorganChase

<div>
 
 Job Description
 
 
 
 We have an exciting opportunity for you to leverage data science methods to deliver actionable insights across the Card business.
 
 
 As a Data Science Associate within the Card Data and Analytics team, you will leverage skills in building insights from advanced analytics, Gen AI / LLM tools, analysis, data querying, and extracting insights from big data to support our Credit Card business. This role is a hands-on mix of consulting know-how, analytical proficiency in statistics, data science, and machine learning/AI, proficiency in SQL/Python programming, visualization methods, and technologies.
 
 
 
 Job Responsibilities
 
 
 
 <ul>
 <li>
 Leverage your knowledge and analytical skills to uncover novel use cases of Big Data analytics for the Credit Card business.
 </li>
 <li>
 Support development of data science / AIML use cases for the Card business.
 </li>
 <li>
 Help partners in the Card business define their business problems and scope analytical solutions.
 </li>
 <li>
 Build an in-depth understanding of the Card domain and available data assets.
 </li>
 <li>
 Research, design, implement, and evaluate analytical approaches and models.
 </li>
 <li>
 Perform ad-hoc exploratory analyses and data mining tasks on diverse datasets.
 </li>
 <li>
 Communicate findings and obstacles to stakeholders to drive delivery to market.
 
 
 </li>
 </ul>
 
 Required Qualifications, Capabilities, And Skills
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in a relevant quantitative field required in an analytical field (e.g., Statistics, Economics, Applied Math, Operations Research, other Data Science fields).
 </li>
 <li>
 4+ years of hands-on experience with data analytics; experience evaluating complex business problems and devising recommendations.
 </li>
 <li>
 Exceptional analytical, quantitative, problem-solving, and communication skills.
 </li>
 <li>
 Excellent leadership, consultative partnering, and collaboration across teams.
 </li>
 <li>
 Knowledge of statistical software packages (e.g., Python) and data querying languages (e.g., SQL).
 </li>
 <li>
 Experience across a broad range of modern analytics tools (e.g., Snowflake, Databricks, SQL, Spark, Python).
 
 
 </li>
 </ul>
 
 Preferred Qualifications, Capabilities, And Skills
 
 
 
 <ul>
 <li>
 Understanding of the key drivers within the credit card P&amp;L is preferred.
 </li>
 <li>
 Financial services background preferred, but not required.
 </li>
 <li>
 Master&rsquo;s degree or equivalent in an analytical field.
 
 
 </li>
 </ul>
 
 ABOUT US
 
 
 
 JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world&rsquo;s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
 
 
 We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants&rsquo; and employees&rsquo; religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
 
 
 
 About The Team
 
 
 
 Our Consumer &amp; Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We&rsquo;re proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions &ndash; all while ranking first in customer satisfaction.
 
 
 The CCB Data &amp; Analytics team responsibly leverages data across Chase to build competitive advantages for the businesses while providing value and protection for customers. The team encompasses a variety of disciplines from data governance and strategy to reporting, data science and machine learning. We have a strong partnership with Technology, which provides cutting edge data and analytics infrastructure. The team powers Chase with insights to create the best customer and business outcomes.
</div>

Data Scientist Associate - AI/ML, Python

HDFC Bank

<div>
 
 
 Vertical : Credit analytics and innovation
 
 
 
 
 Job Purpose
 
 
 
 Looking for exceptional Data Scientist with a proven track record of experience in Predictive analytics.
 
 
 
 
 
 Job Responsibilities(JR) : 6 &ndash; 8 Areas
 
 
 
 
 Actionable (4-6)
 
 
 
 &middot; Scorecard Building and Modelling
 
 
 
 
 &middot; Developing analytical models to assess risk profile of a customer / identifying cross-sell opportunities/fraud control for new and existing customers
 
 
 &middot; Responsible for development and deployment of various scorecards / models for the credit risk / Retail asset products of the Bank within the specified timelines. Ensure the deployment also is line with Bank&rsquo;s strategies so as to gain maximum efficiencies.
 
 
 &middot; Estimate probability of default arising out of the scorecards and monitor deviation from expected default rates.
 
 
 &middot; Monitor portfolio and identify pockets of opportunity for business growth and risk alerts to control NPAs. Communicate these alerts to the respective owners and follow-up for closure
 
 
 
 
 &middot; Formulating data cuts and strategies to assess credit risk for new and existing customers of the Bank. Give feedback to stakeholders to improve the usage of the models
 
 
 
 
 &middot; Develop novel approaches/algorithms in Risk modeling to constantly improve the operational efficacy of current models and its impact to stake holders
 
 
 
 
 &middot; To adopt the latest trends wrt fintech companies by applying the best-in-class financial models, risk strategies
 
 
 &middot; To work on various aspects related to automation of scorecards in Analytics domain.
 
 
 
 
 &middot; Explore data available within the Banks ecosystem but not used currently to meet the above stated business objectives
 
 
 
 
 &middot; Innovation
 
 
 &middot; Thinking, evolving and making significant changes in the processes, techniques, methods so as to save time, energy and money.
 
 
 &middot; Any other assignments depending on the needs of the organization
 
 
 
 
 
 Educational Qualifications
 
 
 
 
 Key Skills
 
 
 
 
 
 1. MCA/MTech/MSc Statistics or Economics/BTech/MBA or equivalent in Computer science/Statistics or related areas with strong inclination towards machine learning algorithms is preferred
 
 
 &middot; Excellent problem solving capabilities with strong fundamentals in computer science
 
 
 &middot; Strong technical &amp; analytical skills
 
 
 &middot; Hands-on experience in data wrangling (ETL), feature engineering, building and deploying scalable machine learning algorithms
 
 
 &middot; Strong written and verbal communication skills
 
 
 &middot; Excellent knowledge of current trends in the field of machine learning/analytics field
 
 
 
 Experience Required
 
 
 <ul>
 <li>
 Experience of 2+ years in analytics/predictive modeling/machine learning
 </li>
 <li>
 Experience of 2+ years in Python/R in building as well as deploying scalable analytics based models
 </li>
 <li>
 Exposure to banking preferable
 </li>
 </ul>
 
 
 
 
 Major Stakeholders
 
 (intra team and cross functional stakeholders, who would need to be interacted with for discharging duties)
 
 
 &middot; Credit Policy
 
 
 &middot; Underwriting
 
 
 &middot; Process
 
 
 &middot; Fraud Control
 
 
 &middot; Product
 
 
 &middot; Credit Bureaus
 
 
 &middot; Third Party Analytics Service Providers
 
 
 &middot; IT
 
 
 &middot; Legal
 
 
 &middot; Information Security
 
 
 
</div>

Data Scientist

<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
 
 
 
 
 
 The Information Technology department is responsible for building products and platforms for Deloitte India that focuses on providing extraordinary customer experience by putting design thinking with trailblazing technology in the center of what they do. The diverse team consists of subject matter experts, technology specialists, quality engineers, user experience researchers &amp; designers, data scientists and product managers.
 
 
 
 
 
 
 Key Responsibilities:
 
 
 
 
 
 
 1.
 
 NLP Model Development
 
 : Design, develop, and implement state-of-the-art NLP algorithms and models to extract insights and patterns from large volumes of textual data. Leverage machine learning and deep learning techniques to tackle NLP tasks such as text classification, entity extraction, and document summarization.
 
 
 
 
 2.
 
 Data Preprocessing and Feature Engineering
 
 : Preprocess and clean textual data to prepare it for analysis and modeling. Perform feature engineering to extract relevant features and representations from raw text, including word embeddings, n-grams, and syntactic features.
 
 
 
 
 
 3.
 
 Model Evaluation and Validation
 
 : Evaluate the performance of NLP models using appropriate metrics and statistical techniques. Conduct rigorous testing and validation to ensure the accuracy, robustness, and generalization of NLP models across different datasets and domains.
 
 
 
 
 
 4.
 
 NLP Integration
 
 : Collaborate with cross-functional teams, including software engineers and product managers, to integrate NLP solutions into production systems and applications. Ensure seamless interoperability and performance optimization of NLP components within larger AI systems.
 
 
 
 
 
 5.
 
 Research and Innovation
 
 : Stay up-to-date with the latest research in NLP and Gen AI, and apply cutting-edge methodologies to real-world problems. Explore new methodologies, tools, and approaches to improve the effectiveness and efficiency of NLP solutions. Contribute to research publications and thought leadership in the field of NLP.
 
 
 
 
 
 6.
 
 Data Analysis and Visualization
 
 : Analyze and interpret results from NLP models to extract meaningful insights and actionable recommendations. Visualize findings using appropriate techniques and tools to communicate complex information effectively to stakeholders.
 
 
 
 
 
 7.
 
 Documentation and Reporting
 
 : Document methodologies, findings, and insights from NLP projects in clear and concise reports. Communicate technical concepts and results to both technical and non-technical audiences, including management and business stakeholders.
 
 
 
 
 
 
 Qualifications:
 
 
 
 
 
 
 
 &bull;Master's or Ph.D. degree in Computer Science, Engineering, Mathematics, Statistics, or a related field.
 
 
 
 
 
 &bull;Minimum of 5+ years of proven experience as a Data Scientist with a focus on NLP and 2 years on Gen AI, preferably in industry or research settings.
 
 
 
 
 
 &bull;Strong knowledge of NLP techniques and algorithms, including text preprocessing, feature extraction, and supervised and unsupervised learning methods.
 
 
 
 
 
 &bull;Proficiency in programming languages such as Python or R, and libraries such as NLTK, spaCy, scikit-learn, and TensorFlow/PyTorch for NLP.
 
 
 
 
 
 &bull;Familiarity with data visualization tools such as Matplotlib, Seaborn, or Plotly.
 
 
 
 
 
 &bull;Experience with containerization and orchestration technologies such as Docker and Kubernetes.
 
 
 
 
 
 &bull;Basic understanding of system design and ML-Ops practices.
 
 
 
 
 
 &bull;Excellent problem-solving skills and analytical thinking.
 
 
 
 
 
 &bull;Strong communication and collaboration skills, with the ability to work effectively in cross-functional teams.
 
 
 
 
 
 &bull;Proven ability to manage multiple projects simultaneously and meet deadlines in a fast-paced environment.
 
 
 
 
 
 
 Preferred Qualifications:
 
 
 
 
 
 
 
 &bull;Experience with deep learning architectures for NLP, such as recurrent neural networks (RNNs), convolutional neural networks (CNNs), and transformer models (e.g., BERT, GPT).
 
 
 
 
 
 &bull;Knowledge of domain-specific NLP tasks and applications, such as chatbots, document understanding, or information extraction.
 
 
 
 
 
 &bull;Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform.
 
 
 
 
 
 How you&rsquo;ll grow
 
 
 
 
 
 
 
 Connect for impact
 
 
 
 
 
 
 Our exceptional team of professionals across the globe are solving some of the world&rsquo;s most complex business problems, as well as directly supporting our communities, the planet, and each other. Know more in our Global Impact Report and our India Impact Report.
 
 
 
 
 
 
 Empower to lead
 
 
 
 
 
 
 You can be a leader irrespective of your career level. Our colleagues are characterised by their ability to inspire, support, and provide opportunities for people to deliver their best and grow both as professionals and human beings. Know more about Deloitte and our One Young World partnership.
 
 
 
 
 
 
 Inclusion for all
 
 
 
 
 
 
 At Deloitte, people are valued and respected for who they are and are trusted to add value to their clients, teams and communities in a way that reflects their own unique capabilities. Know more about everyday steps that you can take to be more inclusive. At Deloitte, we believe in the unique skills, attitude and potential each and every one of us brings to the table to make an impact that matters.
 
 
 
 
 
 
 Drive your career
 
 
 
 
 
 
 At Deloitte, you are encouraged to take ownership of your career. We recognise there is no one size fits all career path, and global, cross-business mobility and up / re-skilling are all within the range of possibilities to shape a unique and fulfilling career. Know more about Life at Deloitte.
 
 
 
 
 
 Everyone&rsquo;s welcome&hellip; entrust your happiness to us
 
 
 
 
 
 Our workspaces and initiatives are geared towards your 360-degree happiness. This includes specific needs you may have in terms of accessibility, flexibility, safety and security, and caregiving. Here&rsquo;s a glimpse of things that are in store for you.
 
 
 
 
 
 Interview tips
 
 
 
 
 
 We want job seekers exploring opportunities at Deloitte to feel prepared, confident and comfortable. To help you with your interview, we suggest that you do your research, know some background about the organisation and the business area you&rsquo;re applying to. Check out recruiting tips from Deloitte professionals.
 
</div>

Explore 164+ Data engineer in Mumbai this September. Find roles across top companies and apply now to boost your career.

164 data engineer jobs IN Mumbai

Data Engineer

Data Engineer-Business Intelligence

Junior Data Center Engineer

Data Scientist - AGM/ DGM/ GM

Data Scientist Associate - AI/ML, Python

Data Scientist

Data Scientist