1,652 Data Pipelines jobs in India

Pioneering Data Pipelines

Tiruppur, Tamil Nadu beBeeDataEngineer

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Job Description

We are seeking a skilled Data Engineering Professional to design and implement production-grade pipelines that our autonomous agents can learn from and operate.

  • The Role

    As a Data Engineer, you will be responsible for building and optimizing complex data pipelines using dbt, Airflow, and Spark. You will own the modeling layer in dbt, orchestrate workflows in Airflow, and develop high-performance Spark jobs for large-scale batch and incremental workloads.

  • Your Responsibilities

    • Model complex schemas in dbt across hundreds of tables
    • Build advanced Airflow DAGs with sophisticated dependency and failure handling
    • Author high-performance Spark jobs for large-scale batch and incremental workloads
    • Codify lineage, testing, and metadata so agents can reason about pipeline state
    • Profile and tune query performance across warehouses and lakehouse engines
  • About You

    • You have 4+ years of experience in data engineering or analytics engineering, shipping pipelines at scale
    • You have deep experience with dbt, including macros, custom tests, and refactoring legacy models
    • You have a track record of building and debugging complex Airflow DAGs (Sensors, TaskGroups, SubDAG patterns)
    • You are a Spark power-user capable of distributed joins, window functions, and memory tuning
    • You have solid Python, Git, and CI discipline
    • Bonus: experience with Iceberg, Delta, or DataFusion; prior RL or agent work
  • What We Offer

    • A competitive salary and meaningful equity
    • A remote-first work environment with optional office space
    • An opportunity to work with a senior team that values clean code and measurable impact

Why This Role is Ideal for You

  • You enjoy working on complex data engineering problems and implementing scalable solutions
  • You have strong communication skills and can collaborate effectively with cross-functional teams
  • You are passionate about staying up-to-date with industry trends and best practices in data engineering
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Creating Scalable Data Pipelines

Amravati, Maharashtra beBeeDataEngineering

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Data Engineer Role Overview

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At TensorStax, we're building the next generation of autonomous agents for data engineering. These agents will learn from and operate on production-grade pipelines designed by talented engineers like you.

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The Job Description

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  • Create advanced, scalable data pipelines that our agents can learn from and operate efficiently.
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  • Owning the modeling layer in dbt, orchestration in Airflow, and heavy-lift workloads in Spark, you'll build complex systems that drive business outcomes.
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  • You will codify lineage, testing, and metadata to enable agents to reason about pipeline state and make informed decisions.
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  • Partner with the agent research team to expose realistic failure modes, data drifts, and SLA violations for RL training.
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About This Opportunity

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  • 4+ years of experience in data engineering or analytics engineering, with a track record of shipping high-quality pipelines at scale.
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  • Deep expertise in dbt, including macros, custom tests, and refactoring legacy models.
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  • Strong background in building and debugging complex Airflow DAGs (Sensors, TaskGroups, SubDAG patterns).
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  • Proficiency in Spark, with experience in distributed joins, window functions, and memory tuning.
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  • Solid understanding of Python, Git, and CI principles.
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  • Bonus: experience with Iceberg, Delta, or DataFusion; prior RL or agent work.
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Why Join Us

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  • Work in a tight-knit team that values clean code, measurable impact, and collaboration.
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  • Competitive salary and meaningful equity opportunities.
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  • Remote-first work environment with optional office presence.
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  • Dedicated hardware budget for personal development.
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The Ideal Candidate

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  1. Able to design and implement complex data pipelines that meet business requirements.
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  3. Familiarity with containerization and deployment on Kubernetes-backed infrastructure.
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  5. Possesses strong problem-solving skills, with the ability to debug complex systems.
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  7. Excellent communication skills, with the ability to collaborate effectively with cross-functional teams.
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  9. A self-motivated individual who takes ownership of projects and delivers high-quality results.
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Action Steps

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  • We encourage qualified applicants to apply with their resume and cover letter.
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  • Please describe your relevant experience and how you can contribute to our mission.
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Key Skills

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  • dbt, Airflow, Spark, Python, Git, CI/CD, Containerization, Kubernetes.
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  • Iceberg, Delta, DataFusion, RL, Agent Development.
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Keyword

">Data Engineering "> ),
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Software Developer - Data Pipelines (Python)

Bengaluru, Karnataka Squarepoint Capital

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Team: Development - Alpha Data

Position Overview:

We are seeking an experienced Python developer to join our Alpha Data team, responsible for delivering a vast quantity of data served to users worldwide. You will be a cornerstone of a growing Data team, becoming a technical subject matter expert and developing strong working relationships with quant researchers, traders, and fellow colleagues across our Technology organisation.

Alpha Data teams are able to deploy valuable data to the rest of the Squarepoint business at speed. Ingestion pipelines and data transformation jobs are resilient and highly maintainable, while the data models are carefully designed in close collaboration with our researchers for efficient query construction and alpha generation.

We achieve an economy of scale through building new frameworks, libraries, and services used to increase the team's quality of life, throughput, and code quality. Teamwork and collaboration are encouraged, excellence is rewarded and diversity of thought and creative solutions are valued. Our emphasis is on a culture of learning, development, and growth.

  • Take part ownership of our ever-growing estate of data pipelines,
  • Propose and contribute to new abstractions and improvements - make a real positive impact across our team globally,
  • Design, implement, test, optimize and troubleshoot our data pipelines, frameworks, and services,
  • Collaborate with researchers to onboard new datasets,
  • Regularly take the lead on production support operations - during normal working hours only.
  • Required Qualifications:

  • 4+ years of experience coding to a high standard in Python,
  • Bachelor's degree in a STEM subject,
  • Experience with and knowledge of SQL, and one or more common RDBMS systems (we mostly use Postgres),
  • Practical knowledge of commonly used protocols and tools used to transfer data (e.g. FTP, SFTP, HTTP APIs, AWS S3),
  • Excellent communication skills.
  • Nice to haves

  • Experience with big data frameworks, databases, distributed systems, or Cloud development.
  • Experience with any of these: C++, kdb+/q, Rust.
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    Software Developer - Risk Data Pipelines

    Bengaluru, Karnataka Squarepoint Capital

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    Job Description

    Department: Risk Technology

    Position Overview:

    Risk Technology develops core services and systems required by Squarepoint’s systematic and quantitative trading strategies, such as real-time risk controls, position/inventory/P&L monitoring, internal order routing, and various pre and post-trading services.

    Risk Data Pipelines develops software on top of the core Risk Technology platform to handle market or asset-class specific processing, including:

  • Trade Data Ingress - Normalize and stream trade data to Squarepoint's systems from trading platforms like Bloomberg, Fidessa and SpiderRock.
  • Trade Data Egress - Feeds to 3rd party platforms to ensure trade booking correctness and regulatory compliance.
  • Services and analytics used by investment and quant teams to understand Risk exposure, P&L and to improve capital efficiency.
  • Automation of trading operations to support the growth of the business, such as the management of options & future expiry and automated trade, position and P&L reconciliation.
  • This role provides an opportunity to learn many aspects of the way hedge funds operate through close collaboration with trading and quantitative teams, and as a developer you will:

  • Design, develop and deliver high quality and maintainable business critical software.
  • Work closely with stakeholders and colleagues to capture requirements, define architecture and technologies, identify and resolve bottlenecks, and deliver functionality.
  • Lead and contribute to design discussions and mentor other team members.
  • Participate in level 2 support.
  • Required Qualifications:

  • Bachelor’s degree in computer science or related subject.
  • 4 years’ minimum Python experience working in the financial industry.
  • Team player with excellent communication skills.
  • Experience with database management systems and related technologies such as SQL.
  • Knowledge of traded financial instruments (Equity, FX, Credit or Rates).
  • Nice to Have:

  • Experience of FIX protocol
  • Experience developing in data engineering (using Python with pandas, R, Julia)
  • Experience with KDB+/q
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    Data Engineering Lead - Scalable Data Pipelines

    Bhavnagar, Gujarat beBeegrowth

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    Job Description

    **Data Engineer - Permissionless Growth Team

    Join a top 10 sports media platform in the U.S. that generates over a billion pageviews a year and 30m+ monthly active users per month.

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    Building Data Pipelines for Global Scale

    Davangere, Karnataka beBeeDataEngineer

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    Job Description

    Data Growth Engineer Role

    EssentiallySports is the home for the underserved fan, delivering storytelling that goes beyond the headlines. As a media platform, we combine deep audience insights with cultural trends to meet fandom where it lives and where it goes next.

    Our Mission:

    • We focus on the user and let everything else follow.
    • We hire for intent, not experience.
    • We give you the freedom to serve the customer and the team instead of investors.
    • We leverage technology to tap into niche markets.
    • We prioritize action, integrity, freedom, strong communication, and responsibility.

    We're a top 10 sports media platform in the US, generating over a billion pageviews a year and 30m+ monthly active users per month. This massive traffic fuels our data-driven culture, allowing us to build owned audiences at scale through organic growth—a model we take pride in, with zero Customer Acquisition Cost (CAC).

    The next phase of ES growth is around newsletter initiatives. In less than nine months, we've built a robust newsletter brand with 700,000+ highly engaged readers and impressive performance metrics:

    • Five newsletter brands
    • 700k+ subscribers
    • Open rates of 40-46%

    This role is for a data engineer with growth and business acumen, in the 'permissionless growth' team. Someone who can connect pipelines for millions of users while knitting a story about how and why.

    Responsibilities:

    1. Owning data pipelines from web to Athena to email, end-to-end
    2. Making key decisions and seeing them through to successful user sign-ups
    3. Using data science to find real insights, translating to user engagement
    4. Pushing changes every weekday
    5. Personalization at scale: leveraging fan behavior data to tailor content and improve lifetime value

    Who are we looking for?

    • At least two years of professional data engineering experience
    • A self-starter who drives initiatives and thinks about business insights as much as engineering
    • Excited to pick up AI and integrate it at various touchpoints
    • Strong experience in data analysis, growth marketing, or audience development (media or newsletters)
    • Awareness of Athena, Glue, Jupyter, or intent to pick them up
    • Comfortable working with tools like Google Analytics, SQL, email marketing platforms, and data visualization tools
    • Collaborative and proactive mindset to spot opportunities and translate into real growth
    • Ability to thrive in startups with fast-paced environments and take ownership of working through ambiguity

    Benefits:

    • Fully remote job
    • Flexible working hours
    • Freedom to own problem statements and make your own solutions
    • Working directly with the founding team
    • Releasing features at scale to millions of users on day one
    • Bi-annual offsites coined 'epic' by the team

    What sets us apart?

    We're a small, lean team with huge impact on company success. You'll work with experienced leaders/founders who have built and led multiple product, tech, data, and design teams, and grown EssentiallySports to a global scale.

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    Staff Software Engineer, Data Pipelines & APIs (India)

    Bengaluru, Karnataka Mixpanel

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    Job Description

    About Mixpanel

    Mixpanel is an event analytics platform for builders who need answers from their data at their fingertips—no SQL required. When everyone in the organization can see and learn from the impact of their work on product, marketing, and company revenue metrics, they are poised to make better decisions.

    Over 9,000 paid customers, including companies like Netflix, Pinterest, Sweetgreen, and Samsara, use Mixpanel to understand their customers and measure progress. Our commitment is to provide the most comprehensive and reliable analytics platform accessible and trusted by all.

    About Mixpanel

    Mixpanel is powered by a custom distributed database. This system ingests more than 1 Trillion user-generated events every month while ensuring end-to-end latencies of under a minute and queries typically scan more than 1 Quadrillion events over the span of a month. Over the last year, our inbound traffic has doubled. As our existing customers grow in volume and we add new ones, we expect this growth in traffic to continue. The Distributed Systems engineering teams are responsible for adding new capabilities and ensuring the smooth operation of the underlying systems.

    About the Team

    The Data Pipeline & API team is responsible for the Data APIs, Pipelines, and Integrations that power real-time movement of customer data and support trillions of requests each month. These systems are critical to Mixpanel’s product and business, enabling core workflows for external customers. This includes data APIs, which are foundational to customer onboarding and must be highly reliable and scalable; data export APIs, which help us maintain feature parity and support the needs of scaling customers; and integrations like warehouse connectors and cohort exports, which reduce friction, drive adoption, and expand our partner ecosystem. This role ensures these systems are robust, efficient, and aligned with a product strategy that emphasizes impact, growth, and long-term reliability.

    Responsibilities

    As our first engineer in India you'll be responsible for:

  • Starting and building the India Software Engineering Team
  • Working with other engineers to build distributed systems that can handle data at scale
  • Debugging production issues across multiple services and all levels of our infrastructure stack
  • Ensuring reliability and uptime of the services you're responsible for
  • Keeping an eye on how much your service costs every month and removing inefficiencies wherever possible
  • Improving engineering standards and holding a high bar for code quality and simplicity
  • Pushing the boundaries on how our customers analyze their product data
  • A typical project requires a thorough understanding of how not just your service works but also how it interacts with other components. Here are some projects we've worked on in the past to give you an idea of what to expect.

  • Mixpanel's infrastructure runs on Google Cloud Platform. We rely on Kubernetes and Docker for orchestration and containerization of our services. We primarily use Golang for writing services and all internal communication happens via GRPC. We use a combination of C and C++ wherever Golang doesn't meet our performance goals.
  • Most of the systems in our stack provide at least once semantics. As a result, we risk duplicating events that flow through them. To overcome this limitation, we added support for event deduplication that can work at our scale. Typical approaches for deduplication don't perform well on large amounts of data, so we had to do something highly custom for our stack. We wrote about this on our engineering blog .
  • Back in 2019, we migrated our ingestion API service from Python to Golang for better performance and type safety. We had to do this while ensuring that both systems handle data the same way. Because we had to compare, both, HTTP responses and transformed payloads, nothing out of the box worked for us. talks about how we did the actual migration without any customer visible downtime.
  • In 2021, as our traffic grew almost 100%, the cost of storing data became untenable. Our engineers worked on to eventually realize almost $3000 in savings per month.
  • Warehouse Connector Mirror mode solves for data immutability by overcoming historic data model limitations. Mixpanel now syncs with customer data warehouses in real time and will reflect all changes, including additions, updates, or deletions.
  • If projects like the ones listed above excite you, the Distributed Systems engineering team will be a great fit.

    We're Looking For Someone Who Has

  • A strong grasp of computer science fundamentals when it comes to dealing with distributed systems and networks. You'll routinely run into issues where "one in a million" chances actually happen in production
  • A knack for problem-solving and thinking from first principles. You don't shy away from any problem, no matter the scale or impact
  • A bias towards shipping early and iterating. We believe in making small incremental changes to existing systems instead of large multi-quarter undertakings
  • Experience building distributed systems or is eager to build that skillset
  • #LI-Hybrid

    Benefits and Perks

  • Comprehensive Medical, Vision, and Dental Care
  • Mental Wellness Benefit
  • Generous Vacation Policy & Additional Company Holidays
  • Enhanced Parental Leave
  • Volunteer Time Off
  • Additional US Benefits: Pre-Tax Benefits including 401(K), Wellness Benefit, Holiday Break
  • *please note that benefits and perks for contract positions will vary*

    Culture Values

  • Make Bold Bets: We choose courageous action over comfortable progress.
  • Innovate with Insight: We tackle decisions with rigor and judgment - combining data, experience and collective wisdom to drive powerful outcomes.
  • One Team: We collaborate across boundaries to achieve far greater impact than any of us could accomplish alone.
  • Candor with Connection: We build meaningful relationships that enable honest feedback and direct conversations.
  • Champion the Customer: We seek to deeply understand our customers’ needs, ensuring their success is our north star.
  • Powerful Simplicity: We find elegant solutions to complex problems, making sophisticated things accessible.
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    Senior Informatica Data Engineer (Data Pipelines & Cloud Solutions)

    Bellandur, Karnataka Synechron

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    Job Description

    Job Summary:

    Synechron is seeking a versatile and experienced Senior Informatica Data Engineer to support and contribute to the development of innovative software solutions for our clients. This role offers the opportunity to work with a broad range of modern, open-source, cloud-based, and enterprise database technologies, helping organizations optimize their data management and integration processes. The ideal candidate will be involved in supporting complex systems, troubleshooting, and continuously enhancing technological capabilities in line with industry best practices.

    Software Requirements:

    Required:

  • Hands-on experience with a variety of open-source technologies, cloud platforms, and database systems (e.g., MySQL, Oracle, SQL Server)
  • Strong understanding of the software development lifecycle, testing methodologies, and best practices
  • Familiarity with Agile methodologies and working within cross-functional teams
  • Preferred:

  • Experience working with cloud services (AWS, Azure, GCP)
  • Exposure to DevOps tools and automation scripts
  • Knowledge of additional programming languages beyond core development tools
  • Overall Responsibilities:

  • Support the development, testing, and deployment of software solutions tailored to client requirements
  • Collaborate with project teams to understand business needs and translate them into technical solutions
  • Develop, modify, and maintain software components across diverse technology stacks
  • Troubleshoot technical issues and provide timely resolutions to ensure operational stability
  • Contribute to code reviews, testing processes, and adherence to quality standards
  • Stay current with emerging technologies, tools, and industry trends, sharing insights with the team
  • Engage in continuous improvement efforts to optimize development and operational efficiency
  • Technical Skills (By Category):

    Programming Languages:

  • Essential: Experience with multiple programming languages with a focus on scripting languages and relevant enterprise languages
  • Preferred: Experience with automation scripting and other open-source languages
  • Database/Data Management:

  • Proficiency with relational databases such as MySQL, Oracle, and SQL Server
  • Knowledge of database design, query optimization, and data integration practices
  • Cloud Technologies:

  • Familiarity with cloud platforms (AWS, Azure, GCP) and cloud-native deployment concepts
  • Frameworks and Libraries:

  • Exposure to open-source frameworks and tools
  • Understanding of APIs, data integration, and middleware technologies
  • Development Tools and Methodologies:

  • Experience with version control (Git), testing tools, and CI/CD pipelines
  • Working knowledge of Agile/Scrum processes and collaborative development practices
  • Security Protocols:

  • Awareness of security standards relevant to cloud and database environments
  • Experience Requirements:

  • 8+ years in software development or system integration supporting complex data and cloud-based solutions
  • Proven experience with open-source tools, cloud environments, and traditional databases
  • Domain-specific experience in banking or retail sectors is preferred
  • Alternative pathways include extensive experience in systems integration, data engineering, or enterprise support roles with a hands-on approach
  • Day-to-Day Activities:

  • Collaborate with clients and internal teams to understand technical and business requirements
  • Support integration, migration, and enhancement of software systems across cloud and on-premise environments
  • Troubleshoot and resolve technical issues related to databases, middleware, and cloud architectures
  • Participate in design and code reviews to ensure quality and best practices
  • Assist in automating deployment processes and system monitoring activities
  • Stay informed on latest technological advances and contribute to team knowledge sharing
  • Maintain documentation of system configurations, processes, and troubleshooting steps
  • Qualifications:

  • Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent industry experience)
  • Professional experience in software development, database management, or cloud technology support
  • Certifications in cloud platforms (AWS, Azure) or database management are a plus
  • Experience with software testing tools and methodologies
  • Professional Competencies:

  • Strong problem-solving and analytical skills
  • Excellent communication and interpersonal abilities for effective collaboration
  • Self-motivated with the ability to operate independently and own deliverables
  • Adaptability to rapidly changing project priorities and technology trends
  • Ability to work within diverse teams and share knowledge proactively
  • Detail-oriented, with a focus on quality and best practices
  • Diversity & Inclusion are fundamental to our culture, and Synechron is proud to be an equal opportunity workplace and is an affirmative action employer. Our Diversity, Equity, and Inclusion (DEI) initiative ‘Same Difference’ is committed to fostering an inclusive culture – promoting equality, diversity and an environment that is respectful to all. We strongly believe that a diverse workforce helps build stronger, successful businesses as a global company. We encourage applicants from across diverse backgrounds, race, ethnicities, religion, age, marital status, gender, sexual orientations, or disabilities to apply. We empower our global workforce by offering flexible workplace arrangements, mentoring, internal mobility, learning and development programs, and more.


    All employment decisions at Synechron are based on business needs, job requirements and individual qualifications, without regard to the applicant’s gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law.

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    Senior Group Data Engineering Manager(Data Pipelines, ADF, ADB, Python, SQL)

    Bengaluru, Karnataka AtkinsRéalis

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    Job Description

    Job Description

    We’re AtkinsRéalis, a world-leading Design, Engineering and Project Management organization. Created by the integration of long-standing organizations dating back to 1911, we are a world-leading professional services and project management company dedicated to engineering a better future for our planet and its people. We create sustainable solutions that connect people, data and technology to transform the world's infrastructure and energy systems. We deploy global capabilities locally to our clients and deliver unique end-to-end services across the whole life cycle of an asset including consulting, advisory & environmental services, intelligent networks & cybersecurity, design & engineering, procurement, project & construction management, operations & maintenance, decommissioning and capital. The breadth and depth of our capabilities are delivered to clients in key strategic sectors such as Engineering Services, Nuclear, Operations & Maintenance and Capital.

    News and information are available at or follow us on LinkedIn.

    Our teams are proud to deliver on some of the most prestigious projects across the world. It's thanks to our talented people and their diverse thinking, expertise, and knowledge. Join us and you'll be part of our genuinely collaborative environment, where everyone is supported to make the most of their talents and expertise.
    When it comes to work-life balance, AtkinsRéalis is a great place to be. So, let's discuss how our flexible and remote working policies can support your priorities. We're passionate about are work while valuing each other equally. So, ask us about some of our recent pledges for Women's Equality and being a 'Disability Confidence' and 'Inclusive Employer’.

    EAI-AtkinsRéalis is a vibrant and continuously growing team. It is an important part of GTC-AtkinsRéalis and widely recognized for its high and quality project deliveries. This would be a vital role to take EAI one step forward in providing data solutions to our business and client. This role would simultaneously work on multiple projects and would provide planning, designing and delivery of data driven projects. Effective communication and a team player are important characteristics of this role.

    Key Activities for This Role

  • Technical guide for a team of Lead Data Engineers.
  • Develop, configure, deploy, and optimize Microsoft Azure based Data solutions.
  • Collaborate with other team members to develop and enhance deliverables.
  • Continuously improve team processes to ensure information is of the highest quality, contributing to the overall effectiveness of the team.
  • Stay abreast of industry changes, especially in the areas of cloud data and analytics technologies.
  • Ability to simultaneously work and deliver on more than one project on Individual contributor role.
  • Ability to work on multiple areas like Data pipeline ETL, Data modelling & design, writing complex SQL queries etc.
  • Capable of planning and executing on both short-term and long-term goals on your own and with the team.
  • Partner with other Data Engineers, Data architects, domain experts, data analysts and other teams to build foundational data sets that are trusted, well understood, aligned with business strategy and enable self-service.
  • Guide, mentor guide Data Engineers, Sr Data Engineers on Data Architecture, data models, implementation techniques and technologies.
  • Experience & Skills Required:

  • 12+ years of experience designing, developing, Architecture and deploying data solutions using Power BI, Azure platform.
  • Experience on designing Data pipelines (ETL/ELT), Datawarehouse and Data marts.
  • Hands-on expert with real-time data processing and analytics, data ingestion (batched and streamed), and data storage solutions.
  • Hands on Azure Analysis Services & Power BI and good to have experience on other tools.
  • Hands on experience with Data Factory, Data Lake Storage, Databricks, Data Explorer, Machine Learning, and Azure Synapse Analytics is good to have.
  • Expert at creating data dissemination diagrams, data flow diagrams, data lifecycle diagrams, data migration diagrams, and data security diagrams etc.
  • Hands on experience with one of the data presentations tools like PowerBI, Tableau etc.
  • A proven expert in writing optimized SQL to deal with large data volumes.
  • Hands on coding in Python along its main data libraries like Pandas, NumPy, Beautiful soup etc.
  • Good to have ML exposer.
  • Good to have AWS experience.
  • Good to have GCP experience.
  • What We Can Offer You

  • Varied, interesting and meaningful work.
  • A hybrid working environment with flexibility and great opportunities.
  • Opportunities for training and, as the team grows, career progression or sideways moves.
  • An opportunity to work within a large global multi-disciplinary consultancy on a mission to change the ways we approach business as usual.
  • Why work for AtkinsRéalis?

    We at AtkinsRéalis are committed to developing its people both personally and professionally. Our colleagues have the advantage of access to a high ranging training portfolio and development activities designed to help make the best of individual’s abilities and talents. We also actively support staff in achieving corporate membership of relevant institutions.

    Meeting Your Needs

    To help you get the most out of life in and outside of work, we offer employees ‘Total Reward’.
    Making sure you're supported is important to us. So, if you identify as having a disability, tell us ahead of your interview, and we’ll discuss any adjustments you might need.
    Additional Information
    We are an equal opportunity, drug-free employer committed to promoting a diverse and inclusive community - a place where we can all be ourselves, thrive and develop. To help embed inclusion for all, from day one, we offer a range of family friendly, inclusive employment policies, flexible working arrangements and employee networks to support staff from different backgrounds. As an Equal Opportunities Employer, we value applications from all backgrounds, cultures and ability.

    We care about your privacy and are committed to protecting your privacy. Please consult our Privacy Notice on our Careers site to know more about how we collect, use and transfer your Personal Data.

    Link: Equality, diversity & inclusion | Atkins India (atkinsrealis.com)

    Worker Type

    Employee

    Job Type

    Regular

    At AtkinsRéalis, we seek to hire individuals with diverse characteristics, backgrounds and perspectives. We strongly believe that world-class talent makes no distinctions based on gender, ethnic or national origin, sexual identity and orientation, age, religion or disability, but enriches itself through these differences.

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    Data Scientist (Cloud Management, SQL, Building cloud data pipelines, Python, Power BI, GCP)

    Chennai, Tamil Nadu UPS India

    Posted today

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    Job Description

    Explore your next opportunity at a Fortune Global 500 organization. Envision innovative possibilities, experience our rewarding culture, and work with talented teams that help you become better every day. We know what it takes to lead UPS into tomorrow—people with a unique combination of skill + passion. If you have the qualities and drive to lead yourself or teams, there are roles ready to cultivate your skills and take you to the next level.

    Job Description:

    Job Summary
    UPS Marketing team is looking for a talented and driven Data Scientist to drive its strategic objectives in the areas of pricing, revenue management, market analysis and evidence/data-based decision making. This role will work across multiple channels and teams to drive tangible results in the organization. You will focus on developing metrics for multiple channels and markets, applying advanced statistical modeling where appropriate and pioneering new analytical methods in a variety of fast paced and rapidly evolving consumer channels. This high visibility position will work with multiple levels of the organization, including senior leadership to bring analytical capabilities to the forefront of pricing, rate setting, and optimization of our go-to-market offers. You will contribute to rapidly evolving UPS Marketing analytical capabilities by working amongst a collaborative team of Data Scientists, Analysts and multiple business stakeholders.

    Responsibilities:

    • Become a subject matter expert on UPS business processes, data and analytical capabilities to help define and solve business needs using data and advanced statistical methods

    • Analyze and extract insights from large-scale structured and unstructured data utilizing multiple platforms and tools.

    • Understand and apply appropriate methods for cleaning and transforming data

    • Work across multiple stake holders to develop, maintain and improve models in production

    • Take the initiative to create and execute analyses in a proactive manner

    • Deliver complex analytical and visualizations to broader audiences including upper management and executives

    • Deliver analytics and insights to support strategic decision making

    • Understand the application of AI/ML when appropriate to solve complex business problems


    Qualifications

    • Expertise in R, SQL, Python.

    • Strong analytical skills and attention to detail. 

    • Able to engage key business and executive-level stakeholders to translate business problems to high level analytics solution approach.

    • Expertise with statistical techniques, machine learning or operations research and their application in business applications.

    • Deep understanding of data management pipelines and experience in launching moderate scale advanced analytics projects in production at scale.

    • Proficient in Azure, Google Cloud environment

    • Experience implementing open-source technologies and cloud services; with or without the use of enterprise data science platforms.

    • Solid oral and written communication skills, especially around analytical concepts and methods. 

    • Ability to communicate data through a story framework to convey data-driven results to technical and non-technical audience.

    • Master’s Degree in a quantitative field of mathematics, computer science, physics, economics, engineering, statistics (operations research, quantitative social science, etc.), international equivalent, or equivalent job experience.


    Bonus Qualifications

    • Experience with pricing methodologies and revenue management

    • Experience using PySpark, Azure Databricks, Google BigQuery and Vertex AI

    • Creating and implementing NLP/LLM projects

    • Experience utilizing and applying neurals networks and other AI methodologies

    • Familiarity with Data architecture and engineering


    Employee Type:
     

    Permanent


    UPS is committed to providing a workplace free of discrimination, harassment, and retaliation.

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