2,699 Data Pipelines jobs in India

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:

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.

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

#LI-Hybrid

Benefits and Perks

*please note that benefits and perks for contract positions will vary*

Culture Values

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

Experience & Skills Required:

What We Can Offer You

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

Job Type

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.

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:
 

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

Job Description – Data Integration & Architecture Engineer

Location: Noida

Team: Platform Engineering – RevAi Pro

Type: Full-time

About Us

Crenovent Technologies is building RevAi Pro , a next-gen revenue operations platform that unifies data, AI agents, and SaaS workflows across industries (SaaS, Banking, Insurance, E-commerce, and Financial Services). Our platform uses Azure Fabric + PostgreSQL + pgvector to power near real-time revenue intelligence with deep compliance, governance, and multi-tenancy at its core.

As part of our early engineering team, you’ll work on the foundational data architecture that powers everything from AI meeting assistants to compensation modelling.

The Role

We are looking for a Data Integration & Architecture Engineer who will design and operate the pipelines that unify CRM, billing, support, and SaaS app data into our Azure-native data fabric. You’ll own the Bronze → Silver → Gold transformations, Fabric → Postgres egress flows, and tenant-level governance models .

This role sits at the intersection of data engineering and platform architecture — perfect for someone who enjoys solving complex data puzzles and wants to grow into a Lead Data Architect role.

What You’ll Do

• Build ingestion pipelines (CDC, batch, webhook, file-based) from CRMs (Salesforce, Dynamics, HubSpot), billing systems (Stripe, Zuora), and support tools (Zendesk, JSM) into Azure Fabric Bronze/Silver layers .
• Curate standardized models in Fabric Silver → Gold using Canonical RevAi Schema (CRS), including SCD2 handling, PII tagging, and business-rule conformance.
• Operate low-latency egress pipelines from Fabric → Postgres (staging → ext_* → app consumption), ensuring subsecond query performance for AI agents.
• Implement tenant isolation via RLS in Postgres and Purview policies in Fabric, ensuring strict multi-tenancy and compliance with residency rules.
• Own observability & SLAs : freshness checks, rowcount anomaly detection, and DQ tests across Bronze/Silver/Gold.
• Contribute to FinOps dashboards by instrumenting pipeline cost metrics, cache hit rates, and egress efficiency.
• Collaborate with AI engineers to ensure pgvector embeddings and agent run data integrate seamlessly into the operational data store.
• Write runbooks for DR/retention/erasure, and actively participate in quarterly pen-test preparations.

What We’re Looking For

Must-Have Skills:

• 2–4 years in data engineering / integration roles .
• Hands-on with Azure Data Factory, Azure Fabric (OneLake/Lakehouse), or equivalent (Databricks/Snowflake acceptable) .
• Strong SQL and PostgreSQL experience (MERGE, staging, RLS, partitioning).
• Experience with CDC, batch ingestion, or event streaming (Airflow, dbt, Kafka, or Fabric pipelines).
• Comfort with data governance concepts (Purview, PII tagging, masked views, data lineage).

Nice-to-Have Skills:

• Knowledge of pgvector, embeddings, or AI data models .
• Prior exposure to multi-tenant SaaS architectures .
• Experience with observability tooling (freshness checks, data quality gates, anomaly detection).
• Familiarity with FinOps or cost-optimization in data pipelines .

Job Description – Data Integration & Architecture Engineer

Location: Noida

Team: Platform Engineering – RevAi Pro

Type: Full-time

About Us

Crenovent Technologies is building RevAi Pro, a next-gen revenue operations platform that unifies data, AI agents, and SaaS workflows across industries (SaaS, Banking, Insurance, E-commerce, and Financial Services). Our platform uses Azure Fabric + PostgreSQL + pgvector to power near real-time revenue intelligence with deep compliance, governance, and multi-tenancy at its core.

As part of our early engineering team, you’ll work on the foundational data architecture that powers everything from AI meeting assistants to compensation modelling.

The Role

We are looking for a Data Integration & Architecture Engineer who will design and operate the pipelines that unify CRM, billing, support, and SaaS app data into our Azure-native data fabric. You’ll own the Bronze → Silver → Gold transformations, Fabric → Postgres egress flows, and tenant-level governance models.

This role sits at the intersection of data engineering and platform architecture — perfect for someone who enjoys solving complex data puzzles and wants to grow into a Lead Data Architect role.

What You’ll Do

• Build ingestion pipelines (CDC, batch, webhook, file-based) from CRMs (Salesforce, Dynamics, HubSpot), billing systems (Stripe, Zuora), and support tools (Zendesk, JSM) into Azure Fabric Bronze/Silver layers.
• Curate standardized models in Fabric Silver → Gold using Canonical RevAi Schema (CRS), including SCD2 handling, PII tagging, and business-rule conformance.
• Operate low-latency egress pipelines from Fabric → Postgres (staging → ext_* → app consumption), ensuring subsecond query performance for AI agents.
• Implement tenant isolation via RLS in Postgres and Purview policies in Fabric, ensuring strict multi-tenancy and compliance with residency rules.
• Own observability & SLAs: freshness checks, rowcount anomaly detection, and DQ tests across Bronze/Silver/Gold.
• Contribute to FinOps dashboards by instrumenting pipeline cost metrics, cache hit rates, and egress efficiency.
• Collaborate with AI engineers to ensure pgvector embeddings and agent run data integrate seamlessly into the operational data store.
• Write runbooks for DR/retention/erasure, and actively participate in quarterly pen-test preparations.

What We’re Looking For

Must-Have Skills:

• 2–4 years in data engineering / integration roles.
• Hands-on with Azure Data Factory, Azure Fabric (OneLake/Lakehouse), or equivalent (Databricks/Snowflake acceptable).
• Strong SQL and PostgreSQL experience (MERGE, staging, RLS, partitioning).
• Experience with CDC, batch ingestion, or event streaming (Airflow, dbt, Kafka, or Fabric pipelines).
• Comfort with data governance concepts (Purview, PII tagging, masked views, data lineage).

Nice-to-Have Skills:

• Knowledge of pgvector, embeddings, or AI data models.
• Prior exposure to multi-tenant SaaS architectures.
• Experience with observability tooling (freshness checks, data quality gates, anomaly detection).
• Familiarity with FinOps or cost-optimization in data pipelines.

Job Description – Data Integration & Architecture Engineer

Location: Noida

Team: Platform Engineering – RevAi Pro

Type: Full-time

About Us

Crenovent Technologies is building RevAi Pro , a next-gen revenue operations platform that unifies data, AI agents, and SaaS workflows across industries (SaaS, Banking, Insurance, E-commerce, and Financial Services). Our platform uses Azure Fabric + PostgreSQL + pgvector to power near real-time revenue intelligence with deep compliance, governance, and multi-tenancy at its core.

As part of our early engineering team, you’ll work on the foundational data architecture that powers everything from AI meeting assistants to compensation modelling.

The Role

We are looking for a Data Integration & Architecture Engineer who will design and operate the pipelines that unify CRM, billing, support, and SaaS app data into our Azure-native data fabric. You’ll own the Bronze → Silver → Gold transformations, Fabric → Postgres egress flows, and tenant-level governance models .

This role sits at the intersection of data engineering and platform architecture — perfect for someone who enjoys solving complex data puzzles and wants to grow into a Lead Data Architect role.

What You’ll Do

• Build ingestion pipelines (CDC, batch, webhook, file-based) from CRMs (Salesforce, Dynamics, HubSpot), billing systems (Stripe, Zuora), and support tools (Zendesk, JSM) into Azure Fabric Bronze/Silver layers .
• Curate standardized models in Fabric Silver → Gold using Canonical RevAi Schema (CRS), including SCD2 handling, PII tagging, and business-rule conformance.
• Operate low-latency egress pipelines from Fabric → Postgres (staging → ext_* → app consumption), ensuring subsecond query performance for AI agents.
• Implement tenant isolation via RLS in Postgres and Purview policies in Fabric, ensuring strict multi-tenancy and compliance with residency rules.
• Own observability & SLAs : freshness checks, rowcount anomaly detection, and DQ tests across Bronze/Silver/Gold.
• Contribute to FinOps dashboards by instrumenting pipeline cost metrics, cache hit rates, and egress efficiency.
• Collaborate with AI engineers to ensure pgvector embeddings and agent run data integrate seamlessly into the operational data store.
• Write runbooks for DR/retention/erasure, and actively participate in quarterly pen-test preparations.

What We’re Looking For

Must-Have Skills:

• 2–4 years in data engineering / integration roles .
• Hands-on with Azure Data Factory, Azure Fabric (OneLake/Lakehouse), or equivalent (Databricks/Snowflake acceptable) .
• Strong SQL and PostgreSQL experience (MERGE, staging, RLS, partitioning).
• Experience with CDC, batch ingestion, or event streaming (Airflow, dbt, Kafka, or Fabric pipelines).
• Comfort with data governance concepts (Purview, PII tagging, masked views, data lineage).

Nice-to-Have Skills:

• Knowledge of pgvector, embeddings, or AI data models .
• Prior exposure to multi-tenant SaaS architectures .
• Experience with observability tooling (freshness checks, data quality gates, anomaly detection).
• Familiarity with FinOps or cost-optimization in data pipelines .

Job Description – Data Integration & Architecture Engineer

Location: Noida

Team: Platform Engineering – RevAi Pro

Type: Full-time

About Us

Crenovent Technologies is building RevAi Pro , a next-gen revenue operations platform that unifies data, AI agents, and SaaS workflows across industries (SaaS, Banking, Insurance, E-commerce, and Financial Services). Our platform uses Azure Fabric + PostgreSQL + pgvector to power near real-time revenue intelligence with deep compliance, governance, and multi-tenancy at its core.

As part of our early engineering team, you’ll work on the foundational data architecture that powers everything from AI meeting assistants to compensation modelling.

The Role

We are looking for a Data Integration & Architecture Engineer who will design and operate the pipelines that unify CRM, billing, support, and SaaS app data into our Azure-native data fabric. You’ll own the Bronze → Silver → Gold transformations, Fabric → Postgres egress flows, and tenant-level governance models .

This role sits at the intersection of data engineering and platform architecture — perfect for someone who enjoys solving complex data puzzles and wants to grow into a Lead Data Architect role.

What You’ll Do

• Build ingestion pipelines (CDC, batch, webhook, file-based) from CRMs (Salesforce, Dynamics, HubSpot), billing systems (Stripe, Zuora), and support tools (Zendesk, JSM) into Azure Fabric Bronze/Silver layers .
• Curate standardized models in Fabric Silver → Gold using Canonical RevAi Schema (CRS), including SCD2 handling, PII tagging, and business-rule conformance.
• Operate low-latency egress pipelines from Fabric → Postgres (staging → ext_* → app consumption), ensuring subsecond query performance for AI agents.
• Implement tenant isolation via RLS in Postgres and Purview policies in Fabric, ensuring strict multi-tenancy and compliance with residency rules.
• Own observability & SLAs : freshness checks, rowcount anomaly detection, and DQ tests across Bronze/Silver/Gold.
• Contribute to FinOps dashboards by instrumenting pipeline cost metrics, cache hit rates, and egress efficiency.
• Collaborate with AI engineers to ensure pgvector embeddings and agent run data integrate seamlessly into the operational data store.
• Write runbooks for DR/retention/erasure, and actively participate in quarterly pen-test preparations.

What We’re Looking For

Must-Have Skills:

• 2–4 years in data engineering / integration roles .
• Hands-on with Azure Data Factory, Azure Fabric (OneLake/Lakehouse), or equivalent (Databricks/Snowflake acceptable) .
• Strong SQL and PostgreSQL experience (MERGE, staging, RLS, partitioning).
• Experience with CDC, batch ingestion, or event streaming (Airflow, dbt, Kafka, or Fabric pipelines).
• Comfort with data governance concepts (Purview, PII tagging, masked views, data lineage).

Nice-to-Have Skills:

• Knowledge of pgvector, embeddings, or AI data models .
• Prior exposure to multi-tenant SaaS architectures .
• Experience with observability tooling (freshness checks, data quality gates, anomaly detection).
• Familiarity with FinOps or cost-optimization in data pipelines .

Job Description – Data Integration & Architecture Engineer

Location: Noida

Team: Platform Engineering – RevAi Pro

Type: Full-time

About Us

Crenovent Technologies is building RevAi Pro , a next-gen revenue operations platform that unifies data, AI agents, and SaaS workflows across industries (SaaS, Banking, Insurance, E-commerce, and Financial Services). Our platform uses Azure Fabric + PostgreSQL + pgvector to power near real-time revenue intelligence with deep compliance, governance, and multi-tenancy at its core.

As part of our early engineering team, you’ll work on the foundational data architecture that powers everything from AI meeting assistants to compensation modelling.

The Role

We are looking for a Data Integration & Architecture Engineer who will design and operate the pipelines that unify CRM, billing, support, and SaaS app data into our Azure-native data fabric. You’ll own the Bronze → Silver → Gold transformations, Fabric → Postgres egress flows, and tenant-level governance models .

This role sits at the intersection of data engineering and platform architecture — perfect for someone who enjoys solving complex data puzzles and wants to grow into a Lead Data Architect role.

What You’ll Do

• Build ingestion pipelines (CDC, batch, webhook, file-based) from CRMs (Salesforce, Dynamics, HubSpot), billing systems (Stripe, Zuora), and support tools (Zendesk, JSM) into Azure Fabric Bronze/Silver layers .
• Curate standardized models in Fabric Silver → Gold using Canonical RevAi Schema (CRS), including SCD2 handling, PII tagging, and business-rule conformance.
• Operate low-latency egress pipelines from Fabric → Postgres (staging → ext_* → app consumption), ensuring subsecond query performance for AI agents.
• Implement tenant isolation via RLS in Postgres and Purview policies in Fabric, ensuring strict multi-tenancy and compliance with residency rules.
• Own observability & SLAs : freshness checks, rowcount anomaly detection, and DQ tests across Bronze/Silver/Gold.
• Contribute to FinOps dashboards by instrumenting pipeline cost metrics, cache hit rates, and egress efficiency.
• Collaborate with AI engineers to ensure pgvector embeddings and agent run data integrate seamlessly into the operational data store.
• Write runbooks for DR/retention/erasure, and actively participate in quarterly pen-test preparations.

What We’re Looking For

Must-Have Skills:

• 2–4 years in data engineering / integration roles .
• Hands-on with Azure Data Factory, Azure Fabric (OneLake/Lakehouse), or equivalent (Databricks/Snowflake acceptable) .
• Strong SQL and PostgreSQL experience (MERGE, staging, RLS, partitioning).
• Experience with CDC, batch ingestion, or event streaming (Airflow, dbt, Kafka, or Fabric pipelines).
• Comfort with data governance concepts (Purview, PII tagging, masked views, data lineage).

Nice-to-Have Skills:

• Knowledge of pgvector, embeddings, or AI data models .
• Prior exposure to multi-tenant SaaS architectures .
• Experience with observability tooling (freshness checks, data quality gates, anomaly detection).
• Familiarity with FinOps or cost-optimization in data pipelines .