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Job Description & How to Apply Below
Greetings from TCS!
Job Title:
Senior Data Engineer (Azure/SSIS)
Location:
PAN INDIA
Experience Range: 7-14 years.
Required Skillset:
Minimum 6 yrs of experience in building ETL pipeline using Azure data Factory, Azure Synapse
Minimum 6 yrs of ETL development using PL/SQL
Exposure in Azure data brick is added advantage
Above average communication skill
should be willing to work as an individual contributor and experience of managing client delivery independently.
Job Description
Must-Have:
Significant experience in Software Development and Agile Methodologies.
Excellent experience in developing ETL routines, processes and structures.
Expert in SSIS and Azure Synapse ETL development.
Significant experience in developing Python or py Spark.
Proven ability to set up Azure Synapse connectors (On-prem file shares, SFTP, SQL database, HTTP, etc..) in real world enterprise environment.
Significant experience in Database and Data Storage Platforms including Azure Data Lake.
Excellent experience in developing ETL routines, processes and structures.
Extensive knowledge of data modelling techniques and structures.
Practical experience of developing ETLs for Dimensions and Fact Tables including SCD I and II implementation.
Excellent experience of deploying solutions in a fast-moving enterprise.
Ability to validate engineering data and deploy solutions. Experience in incident, change management and transition processes
Creating data catalogues
Identifying Critical Data Elements
Recording data quality business rules
Carrying our data quality assessments
Creating data quality assessment scripts & ETLs
Creating data quality reports
Designing & implementing Conceptual, Logical, and Physical data models
Designing & implementing Relational data models with normalisation
Designing & implementing Dimensional Data Models (Dimensions, Facts, SCD I, SCD II, SCD III)
Designing & implementing Lakehouse and Delta Lake architectures
Reporting, documentation/writing.
Excellent Organisational skills.
Experience with a wide range of IT environments, platforms and applications
IT Qualification - Degree or equivalent work experience
Professional certifications e.g. MCSE
Key Responsibilities:
understanding business requirements relating to business data sources with the ability to integrate it and/ or transform it effectively in accordance with business needs
the customisation and development of Extract Transform and Load routines, modelling, queries, reports and analysis
the support of existing data marts, warehouse process chains and associated models and queries,
Facilitating the follow up meetings and removing obstacles that affect the team
ensuring the successful delivery of all assigned Data Engineering work on projects. across all ESB business units and their successful deployment to production, including use cases developed by our Data Science & Analytics team,
Implement changes (CR’s) or new developments relating to existing data warehouses
tracking project status and managing the project teams to mitigate issues and risks
Thanks & Regards,
Ria Aarthi
A.
Position Requirements
10+ Years
work experience
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