2,507 Hive jobs in India

At **Citi** we're not just building technology, we're building the future of banking. Encompassing a broad range of specialties, roles, and cultures, our teams are creating innovations used across the globe. Citi is constantly growing and progressing through our technology, with laser focused on evolving the ways of doing things. As one of the world's most global banks we're changing how the world does business.
**Shape your Career with Citi**
We're currently looking for a high caliber professional to join our team as ** ** **Officer, Big** **Data Engineer -C10- Hybrid** based in Chennai, India. Being part of our team means that we'll provide you with the resources to meet your unique needs, empower you to make healthy decision and manage your financial well-being to help plan for your future. For instance:
+ We provide programs and services for your physical and mental well-being including access to telehealth options, health advocates, confidential counseling and more. Coverage varies by country.
**Responsibilities &** **Qualifications:**
+ 2 - 5 years of relevant experience in **Big data** **platforms such as Hadoop, Hive**
+ **Languages** : Proficient in one or more programming languages commonly used in data engineering such as **Python, PySpark.**
+ **Database Management** : **SQL**
+ Working knowledge of program languages
+ Consistently demonstrates clear and concise written and verbal communication
**Education:**
+ Bachelor's degree/University degree or equivalent experience
---
**Job Family Group:**
Technology
---
**Job Family:**
Applications Development
---
**Time Type:**
Full time
---
**Most Relevant Skills**
Please see the requirements listed above.
---
**Other Relevant Skills**
For complementary skills, please see above and/or contact the recruiter.
---
_Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law._
_If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review_ _Accessibility at Citi ( _._
_View Citi's_ _EEO Policy Statement ( _and the_ _Know Your Rights ( _poster._
Citi is an equal opportunity and affirmative action employer.
Minority/Female/Veteran/Individuals with Disabilities/Sexual Orientation/Gender Identity.

**Shape your Career with Citi**
We're currently looking for a high caliber professional to join our team as ** ** **Officer,** **Data Engineer -C11- Hybrid** based in Pune, India. Being part of our team means that we'll provide you with the resources to meet your unique needs, empower you to make healthy decision and manage your financial well-being to help plan for your future.
**Role** - The Data Engineer is accountable for developing high quality data products to support the Bank's regulatory requirements and data driven decision making. A Data Engineer will serve as an example to other team members, work closely with customers, and remove or escalate roadblocks. By applying their knowledge of data architecture standards, data warehousing, data structures, and business intelligence they will contribute to business outcomes on an agile team.
**Responsibilities**
-Developing and supporting scalable, extensible, and highly available data solutions
-Deliver on critical business priorities while ensuring alignment with the wider
architectural vision
-Identify and help address potential risks in the data supply chain
-Follow and contribute to technical standards
-Design and develop analytical data models
**Required Qualifications & Work Experience**
- **5 to 8 years' experience** implementing data-intensive solutions using agile methodologies
-Experience of relational databases and using SQL for data querying, transformation and manipulation
-Experience of modelling data for analytical consumers
-Ability to automate and streamline the build, test and deployment of data pipelines
-First Class Degree in Engineering/Technology (4-year graduate course)
**Technical Skills (Must Have)**
- **ETL** : Hands on experience of building data pipelines. Proficiency in two or more data
integration platforms such as Ab Initio, Apache Spark, Talend and Informatica
- **Big Data** : Experience of 'big data' platforms such as Hadoop, Hive or Snowflake for
data storage and processing
- **Data Warehousing & Database Management:** Understanding of Data Warehousing concepts, Relational (Oracle, MSSQL, MySQL) and NoSQL (MongoDB,DynamoDB) database design
**-Data Modeling & Design:** Good exposure to data modeling techniques; design,
optimization and maintenance of data models and data structures
- **Languages:** Proficient in one or more programming languages commonly used in data engineering such as Python, Java or Scala
- **DevOps:** Exposure to concepts and enablers - CI/CD platforms, version control, automated quality control management
**Technical Skills (Valuable)**
-Java, Spring boot and Maven: Exposure to Spring Boot , Maven, RESTful API
and microservices
- **Cloud** : Good exposure to public cloud data platforms such as S3, Snowflake,
Redshift, Databricks, BigQuery, etc. Demonstratable understanding of underlying architectures and trade-offs
- **Data Quality & Controls:** Exposure to data validation, cleansing, enrichment and data controls
- **Containerization** : Fair understanding of containerization platforms like Docker,
Kubernetes. Certification on any of the above topics would be an advantage
---
**Job Family Group:**
Technology
---
**Job Family:**
Digital Software Engineering
---
**Time Type:**
Full time
---
**Most Relevant Skills**
Please see the requirements listed above.
---
**Other Relevant Skills**
For complementary skills, please see above and/or contact the recruiter.
---
_Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law._
_If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review_ _Accessibility at Citi ( _._
_View Citi's_ _EEO Policy Statement ( _and the_ _Know Your Rights ( _poster._
Citi is an equal opportunity and affirmative action employer.
Minority/Female/Veteran/Individuals with Disabilities/Sexual Orientation/Gender Identity.

At **Citi** we're not just building technology, we're building the future of banking. Encompassing a broad range of specialties, roles, and cultures, our teams are creating innovations used across the globe. Citi is constantly growing and progressing through our technology, with laser focused on evolving the ways of doing things. As one of the world's most global banks we're changing how the world does business.
**Shape your Career with Citi**
We're currently looking for a high caliber professional to join our team as ** ** **Officer,** **Data Engineer -C11- Hybrid** based in Pune, India. Being part of our team means that we'll provide you with the resources to meet your unique needs, empower you to make healthy decision and manage your financial well-being to help plan for your future. For instance:
+ We provide programs and services for your physical and mental well-being including access to telehealth options, health advocates, confidential counseling and more. Coverage varies by country.
+ We empower our employees to manage their financial well-being and help them plan for the future.
**The Data Engineer** is accountable for developing high quality data products to support the Bank's regulatory requirements and data driven decision making. A Data Engineer will serve as an example to other team members, work closely with customers, and remove or escalate roadblocks. By applying their knowledge of data architecture standards, data warehousing, data structures, and business intelligence they will contribute to business outcomes on an agile team.
**Responsibilities**
+ Developing and supporting scalable, extensible, and highly available data solutions
+ Deliver on critical business priorities while ensuring alignment with the wider architectural vision
+ Identify and help address potential risks in the data supply chain
+ Follow and contribute to technical standards
+ Design and develop analytical data models
**Required Qualifications & Work Experience**
+ First Class Degree in Engineering/Technology (4-year graduate course)
+ 4 to 8 years' experience implementing data-intensive solutions using agile methodologies
+ Experience of relational databases and using SQL for data querying, transformation and manipulation
+ Experience of modelling data for analytical consumers
+ Ability to automate and streamline the build, test and deployment of data pipelines
+ Experience in cloud native technologies and patterns
+ A passion for learning new technologies, and a desire for personal growth, through self-study, formal classes, or on-the-job training
+ Excellent communication and problem-solving skills
**T** **echnical Skills (Must Have)**
+ **ETL:** Hands on experience of building data pipelines. Proficiency in two or more data integration platforms such as Ab Initio, Apache Spark, Talend and Informatica
+ **Big Data** : Experience of 'big data' platforms such as Hadoop, Hive or Snowflake for data storage and processing
+ **Data Warehousing & Database Management** : Understanding of Data Warehousing concepts, Relational (Oracle, MSSQL, MySQL) and NoSQL (MongoDB, DynamoDB) database design
+ **Data Modeling & Design** : Good exposure to data modeling techniques; design, optimization and maintenance of data models and data structures
+ **Languages** : Proficient in one or more programming languages commonly used in data engineering such as Python, Java or Scala
+ **DevOps** : Exposure to concepts and enablers - CI/CD platforms, version control, automated quality control management
---
**Job Family Group:**
Technology
---
**Job Family:**
Digital Software Engineering
---
**Time Type:**
Full time
---
**Most Relevant Skills**
Please see the requirements listed above.
---
**Other Relevant Skills**
For complementary skills, please see above and/or contact the recruiter.
---
_Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law._
_If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review_ _Accessibility at Citi ( _._
_View Citi's_ _EEO Policy Statement ( _and the_ _Know Your Rights ( _poster._
Citi is an equal opportunity and affirmative action employer.
Minority/Female/Veteran/Individuals with Disabilities/Sexual Orientation/Gender Identity.

Shape your Career with Citi

We’re currently looking for a high caliber professional to join our team as  Officer, Data Engineer -C11- Hybrid based in Pune, India. Being part of our team means that we’ll provide you with the resources to meet your unique needs, empower you to make healthy decision and manage your financial well-being to help plan for your future.

Role - The Data Engineer is accountable for developing high quality data products to support the Bank’s regulatory requirements and data driven decision making. A Data Engineer will serve as an example to other team members, work closely with customers, and remove or escalate roadblocks. By applying their knowledge of data architecture standards, data warehousing, data structures, and business intelligence they will contribute to business outcomes on an agile team.

Responsibilities

•Developing and supporting scalable, extensible, and highly available data solutions

•Deliver on critical business priorities while ensuring alignment with the wider

architectural vision

•Identify and help address potential risks in the data supply chain

•Follow and contribute to technical standards

•Design and develop analytical data models

Required Qualifications & Work Experience

•5 to 8 years’ experience implementing data-intensive solutions using agile methodologies

•Experience of relational databases and using SQL for data querying, transformation and manipulation

•Experience of modelling data for analytical consumers

•Ability to automate and streamline the build, test and deployment of data pipelines

•First Class Degree in Engineering/Technology (4-year graduate course)

Technical Skills (Must Have)

•ETL : Hands on experience of building data pipelines. Proficiency in two or more data

integration platforms such as Ab Initio, Apache Spark, Talend and Informatica

•Big Data : Experience of ‘big data’ platforms such as Hadoop, Hive or Snowflake for

data storage and processing

•Data Warehousing & Database Management: Understanding of Data Warehousing concepts, Relational (Oracle, MSSQL, MySQL) and NoSQL (MongoDB,DynamoDB) database design

•Data Modeling & Design: Good exposure to data modeling techniques; design,

optimization and maintenance of data models and data structures

•Languages: Proficient in one or more programming languages commonly used in data engineering such as Python, Java or Scala

•DevOps: Exposure to concepts and enablers - CI/CD platforms, version control, automated quality control management

Technical Skills (Valuable)

•Java, Spring boot and Maven: Exposure to Spring Boot , Maven, RESTful API

and microservices

•Cloud : Good exposure to public cloud data platforms such as S3, Snowflake,

Redshift, Databricks, BigQuery, etc. Demonstratable understanding of underlying architectures and trade-offs

•Data Quality & Controls: Exposure to data validation, cleansing, enrichment and data controls

•Containerization : Fair understanding of containerization platforms like Docker,

Kubernetes. Certification on any of the above topics would be an advantage

---

Job Family Group:

Technology

---

Job Family:

Digital Software Engineering

---

Time Type:

Full time

---

Most Relevant Skills

Please see the requirements listed above.

---

Other Relevant Skills

For complementary skills, please see above and/or contact the recruiter.

---

RiskInsight Consulting Pvt Ltd is looking for a Data Analyst with expertise in SQL and HDFS (Hadoop Distributed File System) to join our dynamic team. The selected candidate will play a crucial role in analyzing large datasets and providing actionable insights to drive business decisions. If you are a detail-oriented individual with a passion for data, we want to hear from you!

1. Design, implement, and maintain data pipelines and workflows using HDFS for data management.
2. Conduct data extraction, transformation, and loading (ETL) processes using SQL and Hive.
3. Perform rigorous data analysis to identify trends, inconsistencies, and insights for stakeholders.
4. Collaborate with business units to understand their analytical needs and deliver data-driven insights.
5. Create visualizations and generate reports to present findings to both technical and non-technical audiences.
6. Ensure data integrity and security throughout all stages of data processing.
7. Stay informed about industry advancements in data analysis and contribute to best practices in the field.

Requirements

1. Bachelor’s degree in Computer Science, Data Science, Mathematics, or related field.
2. Proven experience in a Data Analyst role with strong expertise in SQL and HDFS.
3. Hands-on experience with Hive for querying and analyzing large datasets.
4. Familiarity with data visualization tools such as Tableau, Power BI, or similar.
5. Excellent problem-solving and analytical skills with the ability to draw meaningful conclusions from data.
6. Strong communication skills to effectively share insights with diverse teams.
7. Ability to work independently and as part of a team in a fast-paced environment.

Benefits

Competitive salary and benefits package.

Opportunity to work on cutting-edge technologies and solve complex challenges.

Dynamic and collaborative work environment with opportunities for growth and career advancement.

Regular training and professional development opportunities.

RiskInsight Consulting Pvt Ltd is looking for a Data Analyst with expertise in SQL and HDFS (Hadoop Distributed File System) to join our dynamic team. The selected candidate will play a crucial role in analyzing large datasets and providing actionable insights to drive business decisions. If you are a detail-oriented individual with a passion for data, we want to hear from you!

1. Design, implement, and maintain data pipelines and workflows using HDFS for data management.
2. Conduct data extraction, transformation, and loading (ETL) processes using SQL and Hive.
3. Perform rigorous data analysis to identify trends, inconsistencies, and insights for stakeholders.
4. Collaborate with business units to understand their analytical needs and deliver data-driven insights.
5. Create visualizations and generate reports to present findings to both technical and non-technical audiences.
6. Ensure data integrity and security throughout all stages of data processing.
7. Stay informed about industry advancements in data analysis and contribute to best practices in the field.

Requirements

1. Bachelor’s degree in Computer Science, Data Science, Mathematics, or related field.
2. Proven experience in a Data Analyst role with strong expertise in SQL and HDFS.
3. Hands-on experience with Hive for querying and analyzing large datasets.
4. Familiarity with data visualization tools such as Tableau, Power BI, or similar.
5. Excellent problem-solving and analytical skills with the ability to draw meaningful conclusions from data.
6. Strong communication skills to effectively share insights with diverse teams.
7. Ability to work independently and as part of a team in a fast-paced environment.

Benefits

Competitive salary and benefits package.

Opportunity to work on cutting-edge technologies and solve complex challenges.

Dynamic and collaborative work environment with opportunities for growth and career advancement.

Regular training and professional development opportunities.

Lead large-scale digital banking transformation with global impact.

Drive innovation in omni-channel, real-time customer experiences.

About Our Client

A leading global bank committed to digital innovation and delivering exceptional customer experiences across multiple channels and markets worldwide. Known for driving transformation through agile, customer-centric solutions and cutting-edge technology.

Job Description

Lead and manage 12-15 agile squads (100-250 people) focused on Customer Life Cycle Management (CLM).

Oversee USD 10-30M investment for delivering omni-channel, digital-first, real-time CLM capabilities.

Deliver end-to-end customer journeys across mobile, web, branch, voice, virtual contact centers, and ATM/CDM channels.

Collaborate closely with IT, design, country teams, and senior business stakeholders globally.

Own capability delivery, financial performance, customer experience, risk management, and people development.

Drive strategic planning, prioritization, and execution of digital CLM initiatives aligned with Retail Banking goals.

Establish performance dashboards and KPIs for digital sales and customer experience improvements.

Conduct competitor analysis and stay updated on digital banking and FinTech innovations globally.

Ensure compliance with regulatory frameworks and internal risk controls.

Lead agile delivery processes including sprint planning, backlog prioritization, and user acceptance testing.

Manage cross-functional stakeholder communication, risk escalation, and governance reporting.

Build and nurture a high-performing team culture with continuous training and succession planning.

The Successful Applicant

A successful Hive Lead should have:

Proven leadership experience managing large, agile teams (100+ members) in complex digital transformation programs.

Strong track record delivering omni-channel Customer Life Cycle Management (CLM) solutions, preferably in banking/financial services.

Deep knowledge of digital-first, real-time customer journey capabilities across multiple channels (mobile, web, branch, voice, virtual contact centers, ATMs).

Experience managing large investment portfolios ($10M+) with accountability for financial outcomes and ROI.

Expertise working closely with IT, UX/design teams, and business stakeholders in matrixed, global environments.

Familiarity with agile product delivery frameworks and tools (Scrum, Kanban, Jira, etc.).

Solid understanding of regulatory, risk, and compliance requirements in retail banking.

Strong stakeholder management and communication skills, including with senior leadership.

Evidence of driving innovation, continuous improvement, and customer-centric solutions.

Relevant educational background (business, finance, technology) and certifications (Agile, PMP, etc.) a plus.

Demonstrated ability to build, develop, and retain high-performing teams with clear succession planning.

RiskInsight Consulting Pvt Ltd is looking for a Data Analyst with expertise in SQL and HDFS (Hadoop Distributed File System) to join our dynamic team. The selected candidate will play a crucial role in analyzing large datasets and providing actionable insights to drive business decisions. If you are a detail-oriented individual with a passion for data, we want to hear from you!

1. Design, implement, and maintain data pipelines and workflows using HDFS for data management.
2. Conduct data extraction, transformation, and loading (ETL) processes using SQL and Hive.
3. Perform rigorous data analysis to identify trends, inconsistencies, and insights for stakeholders.
4. Collaborate with business units to understand their analytical needs and deliver data-driven insights.
5. Create visualizations and generate reports to present findings to both technical and non-technical audiences.
6. Ensure data integrity and security throughout all stages of data processing.
7. Stay informed about industry advancements in data analysis and contribute to best practices in the field.

Requirements

1. Bachelor’s degree in Computer Science, Data Science, Mathematics, or related field.
2. Proven experience in a Data Analyst role with strong expertise in SQL and HDFS.
3. Hands-on experience with Hive for querying and analyzing large datasets.
4. Familiarity with data visualization tools such as Tableau, Power BI, or similar.
5. Excellent problem-solving and analytical skills with the ability to draw meaningful conclusions from data.
6. Strong communication skills to effectively share insights with diverse teams.
7. Ability to work independently and as part of a team in a fast-paced environment.

Benefits

Competitive salary and benefits package.

Opportunity to work on cutting-edge technologies and solve complex challenges.

Dynamic and collaborative work environment with opportunities for growth and career advancement.

Regular training and professional development opportunities.

**The Role**
The **Data Engineer** is accountable for developing high quality data products to support the Bank's regulatory requirements and data driven decision making. A Data Engineer will serve as an example to other team members, work closely with customers, and remove or escalate roadblocks. By applying their knowledge of data architecture standards, data warehousing, data structures, and business intelligence they will contribute to business outcomes on an agile team.
**Responsibilities**
+ Developing and supporting scalable, extensible, and highly available data solutions
+ Deliver on critical business priorities while ensuring alignment with the wider architectural vision
+ Identify and help address potential risks in the data supply chain
+ Follow and contribute to technical standards
+ Design and develop analytical data models
**Required Qualifications & Work Experience**
+ First Class Degree in Engineering/Technology (4-year graduate course)
+ **8 to 12 years' experience implementing data-intensive solutions using agile methodologies, should be hands on on PySpark, Hive, HDFS, Hadoop**
+ **Should have strong understanding of AWS Glue Serverless Data Integration, Terraform** _,_ **deploying Apache Spark on AWS, using Elastic Kubernetes Service (EKS** **), use of deployment tools** **LightSpeed Tetkon**
+ Experience of relational databases and using SQL for data querying, transformation and manipulation
+ Experience of modelling data for analytical consumers
+ Ability to automate and streamline the build, test and deployment of data pipelines
+ Experience in cloud native technologies and patterns
+ A passion for learning new technologies, and a desire for personal growth, through self-study, formal classes, or on-the-job training
+ Excellent communication and problem-solving skills
+ An inclination to mentor; an ability to lead and deliver medium sized components independently
**T** **echnical Skills (Must Have)**
+ **ETL:** Hands on experience of building data pipelines. Proficiency in two or more data integration platforms such as Ab Initio, Apache Spark, Talend and Informatica
+ **Big Data** : Experience of 'big data' platforms such as Hadoop, Hive or Snowflake for data storage and processing
+ **Data Warehousing & Database Management** : Expertise around Data Warehousing concepts, Relational (Oracle, MSSQL, MySQL) and NoSQL (MongoDB, DynamoDB) database design
+ **Data Modeling & Design** : Good exposure to data modeling techniques; design, optimization and maintenance of data models and data structures
+ **Languages** : Proficient in one or more programming languages commonly used in data engineering such as Python, Java or Scala
+ **DevOps** : Exposure to concepts and enablers - CI/CD platforms, version control, automated quality control management
+ **Data Governance:** A strong grasp of principles and practice including data quality, security, privacy and compliance
**Technical Skills (Valuable)**
+ **Ab Initio** : Experience developing Co>Op graphs; ability to tune for performance. Demonstrable knowledge across full suite of Ab Initio toolsets e.g., GDE, Express>IT, Data Profiler and Conduct>IT, Control>Center, Continuous>Flows
+ **Cloud** : Good exposure to public cloud data platforms such as S3, Snowflake, Redshift, Databricks, BigQuery, etc. Demonstratable understanding of underlying architectures and trade-offs
+ **Data Quality & Controls** : Exposure to data validation, cleansing, enrichment and data controls
+ **Containerization** : Fair understanding of containerization platforms like Docker, Kubernetes
+ **File Formats** : Exposure in working on Event/File/Table Formats such as Avro, Parquet, Protobuf, Iceberg, Delta
+ **Others** : Experience of using a Job scheduler e.g., Autosys. Exposure to Business Intelligence tools e.g., Tableau, Power BI
Certification on any one or more of the above topics would be an advantage.
---
**Job Family Group:**
Technology
---
**Job Family:**
Digital Software Engineering
---
**Time Type:**
Full time
---
**Most Relevant Skills**
Please see the requirements listed above.
---
**Other Relevant Skills**
For complementary skills, please see above and/or contact the recruiter.
---
_Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law._
_If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review_ _Accessibility at Citi ( _._
_View Citi's_ _EEO Policy Statement ( _and the_ _Know Your Rights ( _poster._
Citi is an equal opportunity and affirmative action employer.
Minority/Female/Veteran/Individuals with Disabilities/Sexual Orientation/Gender Identity.