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etl developer_associate_data & analytics engineer Jobs in Mumbai

etl developer_associate_data & analytics engineer

senior data engineer

data engineer

Priceline

<div>
 
 
 This role is eligible for our hybrid work model: Two days in-office.
 
 
 
 
 Our Technology team is the backbone of our company: constantly creating, testing, learning and iterating to better meet the needs of our customers. If you thrive in a fast-paced, ideas-led environment, you&rsquo;re in the right place.
 
 
 
 
 Why this job&rsquo;s a big deal
 
 
 
 
 As part of the Flights Engineering team, you&rsquo;ll design and build scalable data pipelines that curate and consolidate high-impact data generated across our platforms in real time. Your work will power critical business decisions, elevate platform productivity and observability, and enable customers to experience the moments that matter&mdash;through travel, experiences, and loyalty&mdash;helping Priceline become the world&rsquo;s ultimate
 
 dealmaker
 
 .
 
 
 
 
 In this role, you will get to:-
 
 
 
 
 <ul>
 <li>
 Build and Optimize Data Pipeline
 </li>
 <li>
 Build and optimize data pipelines for ingestion, transformation, and validation
 </li>
 <li>
 Assist with CI/CD practices to automate pipeline deployment and monitoring
 </li>
 <li>
 Develop and maintain data validation and quality assurance tests to ensure reliable outputs
 </li>
 <li>
 Data Architecture &amp; Modeling
 </li>
 <li>
 Work in tandem with Data Architects to align on data architecture requirements
 </li>
 <li>
 Build and maintain data models that support analytics, reporting, and product features
 </li>
 <li>
 Define solution parameters for data preparation, integration, and storage.
 </li>
 <li>
 Collaboration &amp; Cross-Functional Alignment
 </li>
 <li>
 Partner with Product Managers, Analysts, and Engineering teams to understand data requirements
 </li>
 <li>
 Facilitate communication between data, product, and development teams to ensure alignment
 </li>
 <li>
 Provide guidance on best practices for data management and pipeline design.
 </li>
 <li>
 Continuous Improvement
 </li>
 <li>
 Identify opportunities to improve pipeline performance, reliability, and maintainability
 </li>
 <li>
 Evaluate and implement new data tools, technologies, and frameworks
 </li>
 <li>
 Share knowledge and mentor team members on data engineering practices
 </li>
 <li>
 Reporting &amp; Quality Metrics
 </li>
 <li>
 Monitor and report on data pipeline performance, failures, and data quality issues
 </li>
 <li>
 Ensure transparency of data availability, integrity, and lineage for stakeholders. Support release readiness by validating that data pipelines deliver accurate and timely data.
 
 
 </li>
 </ul>
 
 
 Who you are
 
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Computer Science or a related field
 </li>
 <li>
 3&ndash;5 years of hands-on experience building and maintaining data pipelines and architectures in a corporate or product-driven environment.
 </li>
 <li>
 Proficient with SQL and modern data tools (e.g., Spark, Airflow, Snowflake, dbt)
 </li>
 <li>
 Demonstrated expertise in Big Data solutions, including frameworks such as ApacheSpark and Kafka.
 </li>
 <li>
 Strong command of databases, including CloudSQL (MySQL, PostgreSQL), BigQuery, and Oracle.
 </li>
 <li>
 Familiar with data governance, security protocols, and compliance best practices
 </li>
 <li>
 Proficiency in data orchestration frameworks, particularly Apache Airflow, for scheduling and managing complex workflows.
 </li>
 <li>
 Proven ability to analyze, debug, and resolve data processing issues efficiently.
 </li>
 <li>
 Proficient in Java or Python, with the ability to write efficient, maintainable code in either language.
 </li>
 <li>
 Illustrated history of living the values necessary to Priceline: Customer, Innovation, Team, Accountability and Trust
 </li>
 <li>
 The Right Results, the Right Way is not just a motto at Priceline; it&rsquo;s a way of life. Unquestionable integrity and ethics is essential
 
 
 </li>
 </ul>
 
 Who We Are
 
 
 
 WE ARE PRICELINE.
 
 
 Our success as one of the biggest players in online travel is all thanks to our incredible, dedicated team of talented employees. Priceliners are focused on being the best travel deal makers in the world, motivated by our passion to help everyone experience the moments that matter most in their lives. Whether it&rsquo;s a dream vacation, your cousin&rsquo;s graduation, or your best friend&rsquo;s wedding - we make travel affordable and accessible to our customers.
 
 
 Our culture is unique and inspiring (that&rsquo;s what our employees tell us). We&rsquo;re a grown-up, startup. We deliver the excitement of a new venture, without the struggles and chaos that can come with a business that hasn&rsquo;t stabilized.
 
 
 We&rsquo;re on the cutting edge of innovative technologies. We keep the customer at the center of all that we do. Our ability to meet their needs relies on the strength of a workforce as diverse as the customers we serve. We bring together employees from all walks of life and we are proud to provide the kind of inclusive environment that stimulates innovation, creativity and collaboration.
 
 
 Priceline is part of the Booking Holdings, Inc. (Nasdaq: BKNG) family of companies, a highly profitable global online travel company with a market capitalization of over $80 billion. Our sister companies include Booking.com, BookingGo, Agoda, Kayak and OpenTable.
 
 
 If you want to be part of something truly special, check us out!
 
 
 
 Flexible work at Priceline
 
 
 
 Priceline is following a hybrid working model, which includes two days onsite as determined by you and your manager (ideally selecting among Tuesday, Wednesday, or Thursday). On the remaining days, you can choose to be remote or in the office.
 
 
 
 Inclusion is a Big Deal !
 
 
 
 To be the best travel dealmakers in the world, we believe our team should reflect the broad range of customers and communities we serve. We are committed to cultivating a culture where all employees have the freedom to bring their individual perspectives, life experiences, and passion to work.
 
 
 Priceline is a proud equal opportunity employer. We embrace and celebrate the unique lenses through which our employees see the world. We&rsquo;d love for you to join us and help shape what makes our team extraordinary.
 
 
 
 Applying for this position
 
 
 
 We're excited that you are interested in a career with us. For all
 
 current employees
 
 , please use the internal portal to find jobs and apply.
 
 
 External candidates are required to have an account before applying. When you click Apply, returning candidates can log in, or new candidates can quickly create an account to save/view applications.
 
 
</div>

Data Engineer

Fluent Health

<div>
 
 
 About Us:
 
 
 
 Fluent Health is a dynamic healthcare startup revolutionizing how you manage your healthcare and that of your family. The company will provide customers with high-quality, personalized options, credible information through trustworthy content, and absolute privacy. To assist us in our growth journey, we are seeking a highly motivated and experienced
 
 Senior Data Engineer
 
 to play a pivotal role in future success.
 
 
 
 
 
 
 Company Website- https://fluentinhealth.com/
 
 
 
 
 
 
 
 
 
 
 
 Job Description:
 
 
 
 We&rsquo;re looking for a
 
 Senior Data Engineer
 
 to lead the design, implementation, and optimization of our analytical and real-time data platform. In this hybrid role, you&rsquo;ll combine hands-on data engineering with high-level architectural thinking to build scalable data infrastructure with ClickHouse as the cornerstone of our analytics and data warehousing strategy.
 
 
 
 
 
 You&rsquo;ll work closely with engineering, product, analytics, and compliance teams to establish data best practices, ensure data governance, and unlock insights for internal teams and future data monetization initiatives.
 
 
 
 
 
 
 Responsibilities:
 
 
 
 
 Architecture &amp; Strategy:
 
 
 <ul>
 <li>
 Own and evolve the
 
 target data architecture
 
 , with a focus on
 
 ClickHouse
 
 for large-scale analytical and real-time querying workloads.
 </li>
 <li>
 Define and maintain a
 
 scalable and secure data platform architecture
 
 that supports various use cases including real-time analytics, reporting, and ML applications.
 </li>
 <li>
 Set
 
 data governance and modeling standards
 
 , and ensure data lineage, integrity, and security practices are followed.
 </li>
 <li>
 Evaluate and integrate complementary technologies into the data stack (e.g., message queues, data lakes, orchestration frameworks).
 </li>
 </ul>
 
 
 
 
 
 Data Engineering:
 
 
 <ul>
 <li>
 Design, develop, and maintain robust
 
 ETL/ELT pipelines
 
 to ingest and transform data from diverse sources into our data warehouse.
 </li>
 <li>
 Optimize
 
 ClickHouse schema and query performance
 
 for real-time and historical analytics workloads.
 </li>
 <li>
 Build data APIs and interfaces for product and analytics teams to interact with the data platform.
 </li>
 <li>
 Implement monitoring and observability tools to ensure pipeline reliability and data quality.
 </li>
 </ul>
 
 
 
 
 
 Collaboration &amp; Leadership:
 
 
 <ul>
 <li>
 Collaborate with data consumers (e.g., product managers, data analysts, ML engineers) to understand data needs and translate them into scalable solutions.
 </li>
 <li>
 Work with security and compliance teams to implement
 
 data privacy, classification, retention, and access control policies
 
 .
 </li>
 <li>
 Mentor junior data engineers and contribute to hiring efforts as we scale the team.
 </li>
 </ul>
 
 
 
 
 
 Qualifications:
 
 
 <ul>
 <li>
 
 5-7 years
 
 of experience in
 
 Data Engineering
 
 , with at least
 
 2-4 years
 
 in a
 
 Senior or Architectural
 
 role.
 </li>
 <li>
 
 Expert-level proficiency
 
 in
 
 ClickHouse
 
 or similar columnar databases (e.g., BigQuery, Druid, Redshift).
 </li>
 <li>
 Proven experience designing and operating scalable
 
 data warehouse and data lake architectures
 
 .
 </li>
 <li>
 Deep understanding of
 
 data modeling
 
 ,
 
 partitioning
 
 ,
 
 indexing
 
 , and
 
 query optimization
 
 techniques.
 </li>
 <li>
 Strong experience building
 
 ETL/ELT pipelines
 
 using tools like Airflow, dbt, or custom frameworks.
 </li>
 <li>
 Familiarity with
 
 stream processing
 
 and
 
 event-driven architecture
 
 (e.g., Kafka, Pub/Sub).
 </li>
 <li>
 Proficiency with
 
 SQL
 
 and at least one programming language like
 
 Python
 
 ,
 
 Scala
 
 , or
 
 Java
 
 .
 </li>
 <li>
 Experience with
 
 data governance
 
 ,
 
 compliance frameworks
 
 (e.g., HIPAA, GDPR), and
 
 data cataloging
 
 tools.
 </li>
 <li>
 Knowledge of
 
 real-time analytics
 
 use cases and streaming architectures.
 </li>
 <li>
 Familiarity with
 
 machine learning pipelines
 
 and integrating data platforms with ML workflows.
 </li>
 <li>
 Experience working in regulated or high-security domains like
 
 Healthtech
 
 ,
 
 Fintech
 
 , or
 
 Enterprise SaaS.
 
 </li>
 </ul>
</div>

Senior Data Engineer

Morgan Stanley

<div>
 We&rsquo;re seeking someone to join our team as ETL Developer who will be responsible for analyze the requirement and develop the Database procedure (MS SQL Server) to meet the business requirement, support existing application, and collaborates with business Analyst to understand the business requirement, perform the analysis and implement it.
 
 
 In the Technology division, we leverage innovation to build the connections and capabilities that power our Firm, enabling our clients and colleagues to redefine markets and shape the future of our communities. This is a ETL Dev on the AI platform position at Associate level, which is part of data &amp; analytics Engineering job family that provides specialist data analysis and expertise that drive decision-making and business insights as well as crafting data pipelines, implementing data models, optimizing data processes for improved data accuracy and accessibility, including applying machine learning and AI-based techniques.
 
 
 Morgan Stanley is an industry leader in financial services, known for mobilizing capital to help governments, corporations, institutions, and individuals around the world achieve their financial goals.
 
 
 
 What You&rsquo;ll Do In The Role
 
 
 
 <ul>
 <li>
 We are looking for highly motivated individuals who are ready to learn and grow.
 </li>
 <li>
 As a Software Engineer who will play a critical role in design and development of Informatica jobs to perform the data quality check to meet the business requirement.
 </li>
 <li>
 This role requires strong software engineering, design and development skills, and good problem-solving skills.
 
 
 </li>
 </ul>
 
 What You&rsquo;ll Bring To The Role
 
 
 
 <ul>
 <li>
 At least 2 years&rsquo; relevant experience would generally be expected to find the skills required for this role
 </li>
 <li>
 Analyzes complex Informatica mapping, designs and troubleshoots.
 </li>
 <li>
 Good experience in writing complex SQL/PLSQL.
 </li>
 <li>
 Good in database specially in SQL server, good to have Snowflake &amp; Hive knowledge.
 </li>
 <li>
 Good knowledge of Informatica Power Center &amp; IDQ.
 </li>
 <li>
 Good in data warehousing concept.
 </li>
 <li>
 Good Unix Scripting knowledge
 </li>
 <li>
 Performs new development, maintenance fixes and enhancements to meet business requirements
 </li>
 <li>
 Assists other teams to troubleshoot application issues in production, quality assurance and other environments
 </li>
 <li>
 Working experience in Agile model.
 </li>
 <li>
 Documents designs for system requirements
 
 
 </li>
 </ul>
 
 What You Can Expect From Morgan Stanley
 
 
 
 We are committed to maintaining the first-class service and high standard of excellence that have defined Morgan Stanley for over 89 years. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren&rsquo;t just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you&rsquo;ll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There&rsquo;s also ample opportunity to move about the business for those who show passion and grit in their work.
 
 
 To learn more about our offices across the globe, please copy and paste https://www.morganstanley.com/about-us/global-offices into your browser.
 
 
 Morgan Stanley is an equal opportunities employer. We work to provide a supportive and inclusive environment where all individuals can maximize their full potential. Our skilled and creative workforce is comprised of individuals drawn from a broad cross section of the global communities in which we operate and who reflect a variety of backgrounds, talents, perspectives, and experiences. Our strong commitment to a culture of inclusion is evident through our constant focus on recruiting, developing, and advancing individuals based on their skills and talents.
</div>

ETL Developer_Associate_Data & Analytics Engineer

Dholakia Lab Grown Diamond

<div>
 
 
 Job Title:
 
 Data Scientist &ndash; Jewellery Manufacturing &amp; Retail Analytics
 
 
 
 
 
 
 Experience:
 
 2&ndash;6 years
 
 
 
 Location:
 
 Surat / Mumbai
 
 
 
 Industry:
 
 Diamond and Jewellery Manufacturing &amp; Retail
 
 
 
 
 
 
 Role Overview
 
 
 
 We&rsquo;re looking for a
 
 Data Scientist with a strong business mindset
 
 to solve real-world problems in the jewellery value chain &mdash; not just build models.
 
 
 This role sits at the intersection of
 
 data, finance, supply chain, and leadership
 
 . You&rsquo;ll work on demand forecasting, pricing, inventory optimisation, and margin analysis while accounting for
 
 gold price volatility, seasonality, festivals, promotions, and regional demand patterns
 
 .
 
 
 
 
 
 If you enjoy turning messy, operational data into clear business decisions, this role is for you.
 
 
 
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Build and maintain
 
 demand forecasting models
 
 considering seasonality, festivals, promotions, and regional trends
 </li>
 <li>
 Develop
 
 pricing and margin models
 
 factoring gold rate volatility, labour costs, and BOM structures
 </li>
 <li>
 Optimise
 
 inventory planning
 
 for weight-based SKUs (grams, carats, designs, variants)
 </li>
 <li>
 Perform
 
 profitability and contribution analysis
 
 at SKU, category, and channel levels
 </li>
 <li>
 Partner closely with
 
 finance, supply chain, sales, and senior leadership
 
 to translate insights into actions
 </li>
 <li>
 Create clear dashboards, analyses, and narratives that support
 
 executive decision-making
 
 </li>
 <li>
 Continuously improve data quality, assumptions, and model performance based on real business feedback
 </li>
 </ul>
 
 
 
 
 
 Required Skills &amp; Experience
 
 
 <ul>
 <li>
 2&ndash;6 years of experience as a
 
 Data Scientist / Analytics professional
 
 </li>
 <li>
 Strong hands-on experience with
 
 Python
 
 (Pandas, NumPy, Scikit-learn)
 </li>
 <li>
 Solid knowledge of
 
 statistics, regression, and time-series forecasting
 
 </li>
 <li>
 Proficiency in
 
 SQL
 
 and working with large, imperfect datasets
 </li>
 <li>
 Ability to explain complex analysis in
 
 simple business language
 
 </li>
 </ul>
 
 
 
 
 
 Good to Have (Strong Advantage)
 
 
 <ul>
 <li>
 Experience in
 
 retail, manufacturing, jewellery, FMCG, or consumer goods
 
 </li>
 <li>
 Exposure to
 
 weight-based inventory
 
 , costing, pricing, or BOM analytics
 </li>
 <li>
 Understanding of
 
 gold pricing, wastage, making charges, or multi-component SKUs
 
 </li>
 <li>
 Experience working directly with
 
 CXOs or business heads
 
 </li>
 </ul>
 
 
 
 
 
 What We Value
 
 
 <ul>
 <li>
 Business-first thinking over theoretical perfection
 </li>
 <li>
 Curiosity and ownership &mdash; you ask
 
 why
 
 , not just
 
 what
 
 </li>
 <li>
 Comfort working in ambiguity and evolving data environments
 </li>
 <li>
 Strong collaboration across non-technical teams
 </li>
 </ul>
 
 
 
 
 
 Why Join Us
 
 
 <ul>
 <li>
 Work on
 
 high-impact, real-world jewellery problems
 
 , not sandbox datasets
 </li>
 <li>
 Direct exposure to
 
 leadership decision-making
 
 </li>
 <li>
 Opportunity to shape how data drives pricing, inventory, and profitability at scale
 </li>
 <li>
 Fast-growing organisation with a strong focus on
 
 analytics-led growth
 
 </li>
 </ul>
 
 
 
 
 
 Qualifications
 
 
 
 
 
 <ul>
 <li>
 Bachelor's degree or equivalent experience in quantative field (Statistics, Mathematics, Computer Science, Engineering, etc.)
 </li>
 </ul>
 
 
</div>

Data Scientist

Tata Consultancy Services

<div>
 
 The JD for Python Data Scientist are as follows:
 
 <ul>
 <li>
 The objective of this role is to use statistical computer languages (Python) to manipulate data and draw insights from large data sets.
 </li>
 <li>
 Develop predictive analytics solution using ML algorithms such as regression, classification and random forest.
 </li>
 <li>
 Build concept and category model using text mining algorithms.
 </li>
 <li>
 Conduct Peer review and offer recommendations on other people&rsquo;s code
 </li>
 <li>
 Work with back/front-end developer to create sustaining pipelines for web applications
 </li>
 <li>
 Document the requirement to development process
 </li>
 <li>
 Skillset required for this role is Strong communication and interpersonal skills and ability to multi-task, prioritize and manage projects independently in an environment with competing priorities.
 </li>
 <li>
 Working closely with technical teams, and other organizations to understand the product and data
 </li>
 <li>
 Finding and interpreting large data sets to help predict costs
 </li>
 <li>
 Learning and understanding Boeing's data resources and knowing when, how, and which to use and which not to use.
 </li>
 <li>
 Identifying, analyzing, and solve systematic problems, while maintaining focus on the bigger picture
 </li>
 <li>
 Working together with the team to ensure data analysis and developed algorithms can be appropriately applied for negotiation support
 </li>
 <li>
 Ensuring data collected, analyzed and presented result in actionable insights for negotiation support
 </li>
 <li>
 Engaging and participating in negotiation support, to bolster the use of data analytics within supplier negotiations
 </li>
 <li>
 Understanding high-level business objectives and continually align those objectives to meet the needs of the business.
 </li>
 <li>
 Able to multi-task, prioritize and project manage independently in an environment with competing priorities
 </li>
 <li>
 Experience working in a technical, operational or manufacturing environment with the ability to translate that knowledge into financial opportunities
 </li>
 <li>
 Diverse functional experience, with a desire to use data in negotiations
 </li>
 <li>
 Excellent communication skills and a proven history of excelling in a collaborative environment as a key team player.
 </li>
 </ul>
 
 
</div>

Unilever

<div>
 
 Job Title:
 
 Data Scientist
 
 
 
 Function:
 
 Supply Chain
 
 
 
 Location:
 
 Mumbai HO
 
 
 
 Req ID:
 
 R-1171037
 
 
 
 Overview
 
 
 
 We are seeking a highly skilled Data Scientist to join our E-commerce FMCG team. This role is pivotal in leveraging data-driven insights to optimize supply chain, customer experience, and commercial performance. The Data Scientist will work closely with cross-functional teams to design predictive models, analyse consumer behaviour, and unlock opportunities that drive growth in the fast-paced FMCG e-commerce environment.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Data Analysis &amp; Insights: Collect, clean, and analyse large datasets from multiple sources (sales, supply chain, customer behaviour) to generate actionable insights.
 </li>
 <li>
 Predictive Modelling: Develop and deploy machine learning models to forecast demand, optimize inventory, and improve product availability.
 </li>
 <li>
 Supply Chain Optimization: Use advanced analytics to identify inefficiencies, reduce stock-outs, and improve On-Time-In-Full (OTIF) performance.
 </li>
 <li>
 Dashboard Development: Build and maintain MIS dashboards to monitor KPIs such as fill rate, in-stock %, inventory days on hand, and customer service metrics.
 </li>
 <li>
 Cross-Functional Collaboration: Partner with E-commerce, Supply Planning, Customer Operations, and IT teams to deliver scalable data solutions.
 </li>
 <li>
 Innovation &amp; Capability Building: Stay updated with industry trends, tools, and techniques to continuously enhance analytics capabilities.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s/master&rsquo;s degree in data science, Statistics, Computer Science, or related field
 </li>
 <li>
 3&ndash;5 years of experience in data science, preferably in FMCG or e-commerce
 </li>
 <li>
 Strong proficiency in Python/R, SQL, and data visualization tools (Power BI, Tableau, etc.)
 </li>
 <li>
 Experience with machine learning frameworks
 </li>
 <li>
 Solid understanding of supply chain, retail, or FMCG business models
 </li>
 <li>
 Excellent problem-solving, communication, and stakeholder management skills
 
 
 </li>
 </ul>
 All official offers from Unilever are issued only via our Applicant Tracking System (ATS). Offers from individuals or unofficial sources may be fraudulent - please verify before proceeding
</div>

LTIMindtree

<div>
 
 
 Skill:
 
 Data Scientist
 
 
 
 Location: Mumbai
 
 
 
 
 Experience:
 
 10 to 16 Years
 
 
 
 
 
 
 Job Description:
 
 
 
 
 
 
 Mandate Skills:
 
 
 
 Statistical &amp; Machine Learning
 
 : Proficient in building
 
 supervised learning models
 
 (e.g., regression, classification, decision trees, ensemble methods).
 
 <ul>
 <li>
 Skilled in
 
 unsupervised learning
 
 techniques (e.g., clustering, dimensionality reduction, anomaly detection).
 </li>
 <li>
 Ability to apply
 
 statistical methods
 
 for hypothesis testing, feature engineering, and model evaluation (
 
 ROC, AUC, precision-
 
 recall, etc.).
 </li>
 </ul>
 
 
 Programming &amp; Tools
 
 :
 
 Python, Jupyter Notebook
 
 s, and libraries such as
 
 scikit-learn
 
 ,
 
 pandas, NumPy
 
 .
 
 
 
 
 
 Primary Skills &ndash; Good To have
 
 <ol>
 <li>
 
 Teradata Expertise
 
 : Strong hands-on experience with
 
 Teradata SQL, ClearScape Analytics
 
 , and
 
 ModelOps
 
 for deploying and managing models at scale.
 </li>
 <li>
 
 Domain Knowledge
 
 : Insurance industry processes, risk modelling, and customer analytics.
 </li>
 </ol>
 
 
 
 
 Responsibilities:
 
 
 <ol>
 <li>
 Analyze large datasets and develop predictive models within Teradata Data Lake/Lakehouse environments.
 </li>
 <li>
 Write simple, efficient SQL queries and collaborate with data engineering teams to build and validate data pipelines with robust data checks.
 </li>
 <li>
 Prepare, clean, and standardize data for analysis and modelling.
 </li>
 <li>
 Build supervised and unsupervised ML models using Python and Jupyter Notebooks.
 </li>
 <li>
 Communicate insights through clear reports and visualizations
 </li>
 <li>
 Document processes and ensure data quality standards.
 </li>
 <li>
 Stay updated on emerging technologies to improve model performance and reliability.
 </li>
 </ol>
 
 
 
 
 
 
 
 Interested candidates, please share resumes on Shubhadha.Naik@ltimindtree.com
 
</div>

LTIMindtree Hiring for Data Scientist- Mumbai

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218 data engineer jobs IN Mumbai

Data Engineer

Senior Data Engineer

ETL Developer_Associate_Data & Analytics Engineer

Data Scientist

Data Scientist

Data Scientist

LTIMindtree Hiring for Data Scientist- Mumbai