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DataStage Developer Job Description
A DataStage Developer is responsible for designing, developing, and implementing data integration solutions using IBM InfoSphere DataStage. Here's a brief overview:
Key Responsibilities
- Data Integration: Design and develop data integration jobs using DataStage to extract, transform, and load (ETL) data from various sources.
- Job Development: Develop and test DataStage jobs to meet business requirements.
- Data Transformation: Use DataStage transformations to cleanse, aggregate, and transform data.
- Performance Optimization: Optimize DataStage jobs for performance and scalability.
- Troubleshooting: Troubleshoot DataStage issues and resolve data integration problems.
Technical Skills
- DataStage: Strong understanding of IBM InfoSphere DataStage and its components.
- ETL: Experience with ETL concepts and data integration best practices.
- Data Transformation: Knowledge of data transformation techniques and DataStage transformations.
- SQL: Familiarity with SQL and database concepts.
- Data Modeling: Understanding of data modeling concepts and data warehousing.
Role: Project Manager
Experience: 8-10 Years
Location: Mumbai
Company Profile:
Exponentia.ai is an AI tech organization with a presence across India, Singapore, the Middle East, and the UK. We are an innovative and disruptive organization, working on cutting-edge technology to help our clients transform into the enterprises of the future. We provide artificial intelligence-based products/platforms capable of automated cognitive decision-making to improve productivity, quality, and economics of the underlying business processes. Currently, we are rapidly expanding across machine learning, Data Engineering and Analytics functions. Exponentia.ai has developed long-term relationships with world-class clients such as PayPal, PayU, SBI Group, HDFC Life, Kotak Securities, Wockhardt and Adani Group amongst others.
One of the top partners of Data bricks, Azure, Cloudera (leading analytics player) and Qlik (leader in BI technologies), Exponentia.ai has recently been awarded the ‘Innovation Partner Award’ by Qlik and "Excellence in Business Process Automation Award" (IMEA) by Automation Anywhere.
Get to know more about us at http://www.exponentia.ai and https://in.linkedin.com/company/exponentiaai
Role Overview:
· Project manager shall be responsible to oversee and take responsibility for the successful delivery of a range of projects in Business Intelligence, Data warehousing, and Analytics/AI-ML.
· Project manager is expected to manage the project and lead the teams of BI engineers, data engineers, data scientists and application developers.
Job Responsibilities:
· Efforts estimation, creating a project plan, planning milestones, activities and tracking the progress.
· Identify risks and issues. Come up with a mitigation plan.
· Status reporting to both internal and external stakeholders.
· Communicate with all stakeholders.
· Manage end-to-end project lifecycle - requirements gathering, design, development, testing and go-live.
· Manage end-to-end BI or data warehouse projects.
· Must have experience in running Agile-based project development.
Technical skills
· Experience in Business Intelligence Data warehousing or Analytics projects.
· Understand data lake and data warehouse solutions including ETL pipelines.
· Good to have - Knowledge of Azure blob storage, azure data factory and Synapse analytics.
· Good to have - Knowledge of Qlik Sense or Power BI
· Good to have - Certified in PMP/Prince 2 / Agile Project management.
· Excellent written and verbal communication skills.
Education:
MBA, B.E. or B. Tech. or MCA degree