Senior Analyst - IBM DataStage [T500-20008 ]

4 - 6 years

0 Lacs

Posted:2 months ago| Platform: Foundit logo

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Job Type

Full Time

Job Description

ANSR is hiring for one of its clients.

About ArcelorMittal:

ArcelorMittal was formed in 2006 from the strategic merger of European company Arcelor and Indian-owned Mittal Steel. Over a journey of two decades, we have emerged as the world&aposs leading steel and mining company, exerting our influence across 60+ countries with a robust industrial footprint in 18.

We are a global team of 158,00+ talented individuals committed to building a better world with smarter low-carbon steel. Our strategies are not just about scale; they&aposre also about leading a transformative change where innovation meets sustainability. We supply to major global marketsfrom automotive and construction to household appliances and packagingsupported by world-class R&D and distribution networks.

ArcelorMittal Global Business and Technologies in India is our new hub of technological innovation and business solutions. Here, you&aposll find a thriving community of business professionals and technologists who bring together diverse and unique perspectives and experiences to disrupt the global steel manufacturing industry. This fusion ignites groundbreaking ideas and unlocks new avenues for sustainable business growth.

We nurture a culture fueled by an entrepreneurial spirit and a passion for excellence, which prioritizes the advancement and growth of our team members. With flexible career pathways and access to the latest technology and business tools, we offer a space where you can learn, take ownership, and face exciting challenges every day.

Technical Analyst ETL & BO

What does the job entail

The Technical Analyst ETL & BO (ETL = Extract Transform Load; BO = Business Objects) is responsible for monitoring the ETL- and BO-application and their daily operations. A smaller part of his work is the development of changes requested by ArcelorMittal Bremen IT and the creation and implementation of improvement ideas. He works in a team of 4 5 engineers dedicated to Bremen data warehouse in GCC India.

Key Responsibilities:

  • Daily operations of IBM DataStage and Redwood Cronacle jobs and solving problems (60%).
  • Daily operations of SAP Business Objects and solving problems (10%).
  • Analysis and development of changes in ETL, mainly in IBM DataStage jobs and scheduling, analysis of impact of modifications (30%).

Who are we looking for

Qualifications:

  • Education: Bachelor&aposs degree in Computer Science, Information Technology, or a related field.
  • Experience: Minimum of 4 years of experience in data warehouse technologies (e.g. ETL, Data warehouse, DBMS, data analytics) ideally with certifications
  • Strong written and verbal communication skills with fluency in English

Technical skills (mandatory):

Operating systems:

  • Proficient with Windows and Unix operating systems
  • Data warehouse design and methodologies:
  • Expertise in data modelling, database design using universe, star and snowflake schema

ETL:

  • Strong knowledge in extraction, transformation and loading; ideally with IBM DataStage
  • Reporting
  • Good knowledge in SAP Business Objects

Scheduling:

  • Very good know-how in scheduling tools, ideally SAP BPM (Redwood Cronacle)

Databases:

  • In-depth knowledge in Oracle, Microsoft SQL Server and SQL programming

IT Services:

  • Working knowledge in ITIL (ideally with certification) and ticketing tools (e.g. ServiceNow)

Technical skills (optional):

Azure:

  • Knowlege in Azure Data Factory and Azure Data Lake

Programming:

  • Python for data engineering and cloud analytics with e.g. Databricks

Soft skills:

Analytical thinking:

  • Analyze application issues and solve them; take informed decisions

Collaborative:

  • Work effectively with other team members, product expert and business departments to achieve common goals using efficient communication

Organizational skills:

  • Manage own time and resources efficiently to handle multiple tasks and topics in parallel

Agility:

  • Knowledge of agile methods e.g. Kanban, Scrum

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