5,880 Integration jobs in India
Data Integration Engineer
Posted today
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Job Description
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
Data Integration Engineer
Posted today
Job Viewed
Job Description
Description
:Skillsets :
Data Integration Engineer
Posted today
Job Viewed
Job Description
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
Data Integration Engineer
Posted today
Job Viewed
Job Description
Description
: SSIS Conversion to AbinitioResponsibilities 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
Data Integration Engineer
Posted today
Job Viewed
Job Description
Description
:Skillsets :
Data Integration Engineer
Posted today
Job Viewed
Job Description
Description
JD - Data Analyst (MS SQL Server) 5+ years of SQL development experience on MS SQL Server in designing and implementing database structures: This involves creating tables, views, stored procedures, and other database objects eshooting database issues: This includes identifying and resolving database errors, performance issues, and other problems ence in Performance Tuning, Query Optimization and constructing dynamic queries. ping and maintaining database applications: This includes writing SQL queries, creating reports, and developing database-driven applications. orating with other IT professionals: This involves working with developers, system administrators, and other IT professionals to ensure that the database meets the needs of the organization. to have hands on experience working Vermillion reporting suite (VRS) which Developing and maintaining reports, designing and developing reports that provide insights into financial data, such as performance reports, risk reports, and compliance report ng data accuracy and consistency: This involves validating data and ensuring that it is accurate and consistent across all reports advantages if having experience in SSIS packages development, test and deployments. e support on projects including designing, maintaining metadata models and complex ETL packages. SSIS packages, importing data from files, file operation, tune SSIS packages to ensure accurate and efficient movement of data. Gathering and analyzing business requirements: This includes working with business stakeholders to understand their data needs and translating those needs into Power BI solutions. m unit testing/validation Testing dge of Financial Markets or Asset Management domain. g to learn new technology. Must have good analytical skills. have good communication (verbal, written) skills, able to connect co-ordinate with client. to have knowledge in SSRS, Crystal reports etc. al knowledge of GIT, JIRA and Control-M. g up-to-date with new technologies: This includes keeping up with the latest trends and developments in financial reporting and applying them to the organization's Vermilion Reporting Suite.Data Integration Engineer
Posted today
Job Viewed
Job Description
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
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Data Integration Engineer
Posted today
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• Ability to deal with ambiguity and define approaches to bring unfocused issues to resolution.
• Very strong in analysis and design of technical solutions
• Successful track record of working on projects through the entire development life-cycle.
• Must be able to interact with all levels of personnel within the organization and be effective with both business and technical teams
• Experienced in Agile software development practices
Azure Data Integration Engineer
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Job Description
The role involves building and managing data pipelines, troubleshooting issues, and ensuring data accuracy across various platforms such as Azure Synapse Analytics, Azure Data Lake Gen2, and SQL environments.
This position requires extensive SQL experience and a strong background in PySpark development.
Responsibilities
Data Engineering:
- Work with Azure Synapse Pipelines and PySpark for data transformation and pipeline management.
- Perform data integration and schema updates in Delta Lake environments, ensuring smooth data flow and accurate reporting.
- Work with our Azure DevOps team on CI/CD processes for deployment of Infrastructure as Code (IaC) and Workspace artifacts.
- Develop custom solutions for our customers defined by our Data Architect and assist in improving our data solution patterns over time.
Documentation :
- Document ticket resolutions, testing protocols, and data validation processes.
- Collaborate with other stakeholders to provide specifications and quotations for enhancements requested by customers.
Ticket Management:
- Monitor the Jira ticket queue and respond to tickets as they are raised.
- Understand ticket issues, utilizing extensive SQL, Synapse Analytics, and other tools to troubleshoot them.
- Communicate effectively with customer users who raised the tickets and collaborate with other teams (e.g., FinOps, Databricks) as needed to resolve issues.
Troubleshooting and Support:
- Handle issues related to ETL pipeline failures, Delta Lake processing, or data inconsistencies in Synapse Analytics.
- Provide prompt resolution to data pipeline and validation issues, ensuring data integrity and performance.
Desired Skills & Requirements
Seeking a candidate with 5+ years of Dynamics 365 ecosystem experience with a strong PySpark development background. While various profiles may apply, we highly value a strong person-organization fit.
Our ideal candidate possesses the following attributes and qualifications:
- Extensive experience with SQL, including query writing and troubleshooting in Azure SQL, Synapse Analytics, and Delta Lake environments.
- Strong understanding and experience in implementing and supporting ETL processes, Data Lakes, and data engineering solutions.
- Proficiency in using Azure Synapse Analytics, including workspace management, pipeline creation, and data flow management.
- Hands-on experience with PySpark for data processing and automation.
- Ability to use VPNs, MFA, RDP, jump boxes/jump hosts, etc., to operate within the customers secure environments.
- Some experience with Azure DevOps CI/CD IaC and release pipelines.
- Ability to communicate effectively both verbally and in writing, with strong problem-solving and analytical skills.
- Understanding of the operation and underlying data structure of D365 Finance and Operations, Business Central, and Customer Engagement.
- Experience with Data Engineering in Microsoft Fabric
- Experience with Delta Lake and Azure data engineering concepts (e.g., ADLS, ADF, Synapse, AAD, Databricks).
- Certifications in Azure Data Engineering.
Why Join Us?
- Opportunity to work with innovative technologies in a dynamic environment where progressive work culture with a global perspective where your ideas truly matter, and growth opportunities are endless.
- Work with the latest Microsoft Technologies alongside Dynamics professionals committed to driving customer success.
- Enjoy the flexibility to work from anywhere
- Work-life balance that suits your lifestyle.
- Competitive salary and comprehensive benefits package.
- Career growth and professional development opportunities.
- A collaborative and inclusive work culture.