723 Data Integration jobs in India

As a promoter of sustainable mobility, Alstom develops and markets systems, equipment and services for the transport sector. Alstom offers a complete range of solutions (from high-speed trains to metros, tramways and e-buses), passenger solutions, customised services (maintenance, modernisation), infrastructure, signalling and digital mobility solutions. Alstom is a world leader in integrated transport systems. The company recorded sales of € billion and booked €billion of orders in the 2016/17 fiscal year. Headquartered in France, Alstom is present in over 60 countries and employs 32,800 people. UNIFE report forecasts India's accessible market at 4B ver 2016-18, with growth of Alstom has established a strong presence in India and is currently executing metro projects in several Indian cities including Chennai, Kochi and Lucknow where it is supplying Rolling Stock manufactured out its state of the art facility at SriCity in Andhra Pradesh. In the Mainline space, Alstom is executing Signaling & Power Supply Systems for the 343 Km. section on World Bank funded Eastern Dedicated Freight Corridor. Construction of the new electric locomotive factory for manufacturing and supply of 800 units of high horse power locomotives is also in full swing at Madhepura in Bihar. Alstom has set up an Engineering Centre of Excellence in Bengaluru, and this coupled with a strong manufacturing base as well as localized supply chains, is uniquely positioned to serve customers across the globe. Today, Alstom in India employs close to 3000 people and in line with Government of India’s ‘Make in India’ policy initiative, Alstom has been investing heavily in the country in producing world class rolling stock, components, design, research and development to not only serve the domestic market, but also rest of the world. 

OVERALL PURPOSE OF THE ROLE:

The purpose of this role to build inhouse technical expertise for data integration area and delivery of data integration services for the platform.

Primary Goals and Objectives-

This role should be responsible for delivery model for Data Integration services. Person should be responsible for building technical expertise on data integration solutions and providing data integration services. The role is viewed as an expert in solution design, development, performance tuning and troubleshooting for data integration.

RESPONSIBILITIES:

Technical -

Project Management –

Managerial:

Qualifications & Skills:

EDUCATION:

BEHAVIORAL COMPETENCIES:

Alstom is committed to create a diverse & international working environment, that reflects the future of our industry, our clients and end-users. As an employee, you will have a unique opportunity to continue to build your career and directly contribute to the expanding growth of the global transport industry

Job Type: Experienced

Job Segment: Data Warehouse, Facilities, Developer, XML, Database, Technology, Operations

Description

Top 5 DQ Analysis Skills relevant for the role:

• Strongtechnical analysis skills – self-starter and can multitask with minimum support

• StrongSQL technical base, attitude to learn new tools on job

• Abilityto challenge the status quo related to DQ – managing processes and peopleaspects

• Abilityto network and collaborate with data champions within business

• Own andDrive the DQ agenda at LPUK 

Overall JD:

• Toconsult with Business and IT colleagues to lead understanding and improvementof the quality LPUK data

• To driveimprovements in data quality and data governance by monitoring data qualitymetrics and data quality improvement plans to deliver continuous improvementsto LPUK

• Tomanage master data sets, troubleshooting data issues, identifying patterns andcorrelations among the various data sources, proposing and where appropriateimplementing remediations and reporting progress

Data Quality Improvements

• Identify,analyse and record Data Quality issues

• Driveprogress on data quality improvements by influencing and working with businessstakeholders

• Provideprofessional guidance to colleagues on data quality management

Business Support

• Documentdata quality standards as agreed with the business – encompassing keyattributes, targets, rules and profiling results

• Supportbusiness and IT data remediation activities, advising on methodologies,preparing and implementing changes and production of metrics and result sets

Data Management

• Promotedata ownership and stewardship culture at LPUK

• Monitor,track and follow up Data Council actions with the business, identifying andresolving blockers and dependencies 

Monitoring

• Lead theintroduction of Next Generation DataManagement tools including Trillium, Collibra, Tibco EBX & Power BI

• Defineand deliver data quality targets and monitoring approaches with the business

• Workwith colleagues in the wider Data team to replace the Qlikview Driver DQDashboard

DigiTAL Projects Support

• Assessdata for migration to new platforms –advising on data retention, quality, mappings etc. Create comprehensive and professionalrequirements and project documentation

• Preparedatasets for migration including bulk remediation and transformation

Data Analysis

• Accessand query LP business applications and datamarts (legacy and Next Generation)to extract ad-hoc data sets as needed for analysis

• Identifydata mismatches and rule violations

• Identifypatterns highlighting attributes that are misused, repurposed or misunderstood

• Facilitatecleansing where appropriate, by undertaking, commissioning or supporting thework 

Compliance to Data Regulations

• Ensurethat data retention (GDPR) and information security policies are adhered to inall project work

• Supportresolution of regulatory data compliance issues within projects and BAU

• Assistin risk and security assessments relating to data management for DigitalRoadmap projects

Description

Primaryskill : Datastage, Unix, SQL

SecondarySkill : Oracle SQL 

Responsibilities

*Experience in Performance tuning,

• Experience with project feasibility, definitionrequirements, design, testing and project delivery.

•Experience with Agile project methodologies.

Required Skills

• ETLdevelopment using DataStage 11.7

• Exposure to DevOps practices

• Strong in PL/SQL and UNIX shell scripting

• Ability to pick up other ETL tools when required

• Communicate clearly with both technical andnon-technical audiences

• Proven problem solving and organizational skills

• Strong interpersonal and teamwork skills

• Work in a manner in keeping with the NorthernTrust company’s core values

• Fast learner

• Self-motivated

Preferred/ Recommended Skills:

•Experience in Trading and/or financial industry

•Understanding of reconciliation functional knowledge is a big plus

The Global Power Market is amidst a fundamental transition from a central (Predictable, vertically integrated, one way) to a distributed (Intermittent, horizontally networked, bidirectional) model with increasing penetration of Renewables playing a key role in this transition.

RILs newly created Distributed Renewables (RE) business intends to accelerate this transition by providing safe, reliable, affordable, and accessible distributed green energy solutions to Indias population thereby improving quality of life.

Digital is the key enabler for the business to scale-up through the 3 pillars of agility, delightful customer experience and data driven decision making.

Work Location : Navi Mumbai

Department: Digital, Distributed Renewable Energy

Reporting to: Head, Digital Initiatives, Distributed Renewables

Job Overview:

We are seeking a highly skilled and experienced Data and Integration Architect to join our team. This role is crucial for designing and implementing robust data and integration architectures that support our company's strategic goals. The ideal candidate will possess a deep understanding of data architecture, data modeling, integration patterns, and the latest technologies in data integration and management. This position requires a strategic thinker who can collaborate with various stakeholders to ensure our data and integration frameworks are scalable, secure, and aligned with business needs.

Key Responsibilities:

1. Data Architecture Design : Develop and maintain an enterprise data architecture strategy that supports business objectives and aligns with the companys technology roadmap.

2. Integration Architecture Development: Design and implement integration solutions that seamlessly connect disparate systems both internally and with external partners, ensuring data consistency and accessibility.

3. Data Governance and Compliance: Establish and enforce data governance policies and procedures to ensure data integrity, quality, security, and compliance with relevant regulations.

4. System Evaluation and Selection: Evaluate and recommend technologies and platforms for data integration, management, and analytics, ensuring they meet the organizations needs.

5. Collaboration with IT and Business Teams: Work closely with IT teams, business analysts, and external partners to understand data and integration requirements and translate them into architectural solutions.

6. Performance and Scalability: Ensure the data and integration architecture supports high performance and scalability, addressing future growth and technology evolution.

7. Best Practices and Standards: Advocate for and implement industry best practices and standards in data management, integration, and architecture design.

8. Troubleshooting and Optimization: Identify and address data and integration bottlenecks, performing regular system audits and optimizations to improve performance and efficiency.

9. Documentation and Training: Develop comprehensive documentation for the data and integration architectures. Provide training and mentorship to IT staff and stakeholders on best practices.

Qualifications:

1. Bachelors or Masters degree in Computer Science, Information Technology, Data Science, or a related field.

2. Minimum of 7 years of experience in data architecture, integration, or a related field, with a proven track record of designing and implementing large-scale data and integration solutions.

3. Expert knowledge of data modeling, data warehousing, ETL processes, and integration patterns (APIs, microservices, messaging).

4. Experience with cloud-based data and integration platforms (e.g., AWS, Azure, Google Cloud Platform) and understanding of SaaS, PaaS, and IaaS models.

5. Strong understanding of data governance, data quality management, and compliance regulations (e.g., GDPR, HIPAA).

6. Proficient in SQL and NoSQL databases, data integration tools (e.g., Informatica, Talend, MuleSoft), and data visualization tools (e.g., Tableau, Power BI).

7. Excellent analytical, problem-solving, and project management skills.

8. Outstanding communication and interpersonal abilities, with the skill to articulate complex technical concepts to non-technical stakeholders.

What We Offer:

1. Opportunities for professional growth and advancement.

2. A dynamic and innovative work environment with a strong focus on collaboration and continuous learning.

3. The chance to work on cutting-edge projects, making a significant impact on the companys data strategy and operations.

This position offers an exciting opportunity for a seasoned Data and Integration Architect to play a key role in shaping the future of our data and integration strategies. If you are passionate about leveraging data to drive business success and thrive in a dynamic and collaborative environment, we encourage you to apply.

Description

Primaryskill : Datastage, Unix, SQL

SecondarySkill : Oracle SQL 

Responsibilities

*Experience in Performance tuning,

• Experience with project feasibility, definitionrequirements, design, testing and project delivery.

•Experience with Agile project methodologies.

Required Skills

• ETLdevelopment using DataStage 11.7

• Exposure to DevOps practices

• Strong in PL/SQL and UNIX shell scripting

• Ability to pick up other ETL tools when required

• Communicate clearly with both technical andnon-technical audiences

• Proven problem solving and organizational skills

• Strong interpersonal and teamwork skills

• Work in a manner in keeping with the NorthernTrust company’s core values

• Fast learner

• Self-motivated

Preferred/ Recommended Skills:

•Experience in Trading and/or financial industry

•Understanding of reconciliation functional knowledge is a big plus

Description

Description

Responsibilities for Ab Initio developer:

. Knowledge of databases and database concepts to support Design/development of Datawarehouse/Datalake application.

. Analyze the business requirements and work with the business and data modeler to support dataflow from source to target destination

. Follow release and change processes: distribution of software builds and releases to development , test environments and production

. Adheres to project's SDLC process (Agile), participates in Team discussion, scrum call, and works collaboratively with internal and external team members

. Develop ETL using Ab Initio, Databases: MS SQL server, Bigdata, text/excel files

. Should engage in the intake/release/change/incident/problem management processes

. Should be able to prioritize and drive all the relevant support priorities including (Incident, change, problem, knowledge, engagement with projects )

. Develop and document a high-level Conceptual Data Process Design for review by Architect, data analysts that will serve as a basis for writing ETL code and designing test plans

. Thoroughly unit test ETL code to ensure error free/efficient delivery

. Analyze several aspects of code prior to release to ensure that it will run efficiently and can be supported in the production environment.

. Should be able to provide data modeling solutions.

Be independent developer. Seek support from seniors in the team for ensuring smooth delivery

 Qualifications for Ab Initio developer:

. Minimum 7+ years professional experience in ETL-Ab Initio, RDBMS(MS SQL Server), Batch Processing

. Strong in-depth knowledge of RDBMS database, Datawarehouse/Datalake concepts

. Should be well proficient in Ab Initio, MS SQL Server, Hadoop/MangoDB, other Scripting to support ETL development

. 4+ years of experience in Datawarehouse/Datalake development using the Ab Initio ETL tool as well as have used MS SQL database

. Experience with scripting language such as T-SQl, hive/hql, batch scripting, shell scripting and any other popular scripting

. Experience working in complex development environment with Large data

. Strong Communication/team skills and analytical skills

. Ability to articulate advanced technical topics to both technical and non-technical staff

Description

Must-Have Skillset : Talend, SSIS

Experience:  7+ years

Skills Must to Have