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Data Engineer - SSIS/Tableau (5-8 yrs)

5-8 years

Data Engineer - SSIS/Tableau (5-8 yrs)

Flipped.ai

posted 1d ago

Job Description

About the Role : Contract Job for 6 months

Duration: 6 Months

Location : Remote


Timings : Full Time (As per company timings)

Notice Period : Immediate Joiner - Only

Experience : 5+ Years

Job Description :

We are looking for a skilled Data Engineer with expertise in SSIS, Tableau, SQL, and ETL processes. The ideal candidate should have experience in Data Modeling, Data Pipelines, and Agile methodologies. This is a fully remote position that requires strong analytical and problem-solving skills.

Key Responsibilities :

- Design, develop, and maintain data pipelines to support business intelligence and analytics.

- Implement ETL processes using SSIS (advanced level) to ensure efficient data transformation and movement.

- Develop and optimize data models for reporting and analytics.

- Work with Tableau (advanced level) to create insightful dashboards and visualizations.

- Write and execute complex SQL (advanced level) queries for data extraction, validation, and transformation.

- Collaborate with cross-functional teams in an Agile environment to deliver high-quality data solutions.

- Ensure data integrity, security, and compliance with best practices.

- Troubleshoot and optimize data workflows for performance improvement.

Required Skills & Qualifications :

- 5+ years of experience as a Data Engineer.

- Advanced proficiency in SSIS, Tableau, and SQL.

- Strong understanding of ETL processes and data pipeline development.

- Experience with data modeling for analytical and reporting solutions.

- Hands-on experience working in Agile development environments.

- Excellent problem-solving and troubleshooting skills.

- Ability to work independently in a remote setup.

- Strong communication and collaboration skills.

Preferred Skills :

- Experience with cloud data platforms (AWS, Azure, or GCP).

- Knowledge of Big Data technologies.

- Familiarity with CI/CD pipelines for data engineering.

- Exposure to machine learning workflows and AI-driven analytics.


Functional Areas: Software/Testing/Networking

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