Python Technical Lead

Company Description

About Sopra Steria
Sopra Steria, a major Tech player in Europe with 56,000 employees in nearly 30 countries, is recognized for its consulting, digital services and software development. It helps its clients drive their digital transformation and obtain tangible and sustainable benefits. The Group provides end-to-end solutions to make large companies and organizations more competitive by combining in-depth knowledge of a wide range of business sectors and innovative technologies with a fully collaborative approach. Sopra Steria places people at the heart of everything it does and is committed to putting digital to work for its clients in order to build a positive future for all. In 2023, the Group generated revenues of €5.8 billion.
The world is how we shape it.

Job Description

• Role: Python Data Engineer
• Skillset: Python, SQL, ETL tool- Informatica/Talend, etc
• Experience: 6-8 years
• Location: Noida only

Key Responsibilities:

1. Inspect and comprehend current ETL processes written in Talend.
2. Re-engineer and implement ETL processes in Python based on best practices for performance and ease of maintenance.
3. Work together with data engineers and DBAs to synchronize Python ETL jobs with database schema and mappings.
4. Create strong, scalable, and reusable code for data extraction, transformation, and loading.
5. Maximize data processing and guarantee data quality and integrity across systems.
6. Document new ETL processes and assist during test and production rollout.

Mandatory Skills:

1. Proficient in Python programming for data processing, automation, and application development.
2. Strong knowledge of Pandas, NumPy, and other Python libraries for data manipulation and analysis.
3. Solid understanding of data workflows, including data cleaning, transformation, and integration.
4. Proficient in SQL with solid knowledge of relational databases (e.g., PostgreSQL, MySQL, SQL Server).
5. Ability to read, analyze, and refactor existing code and workflows for maintainability and performance.

Preferred Skills:

1. Experience with Apache Spark or PySpark.
2. Familiarity with Python REST frameworks (e.g., Flask, Django, FastAPI) for building APIs and web services.
3. Exposure to data lake or cloud-based data platforms (AWS, Azure, GCP).
4. Knowledge of data warehousing and performance tuning.

Qualifications

B.E/ B.Tech/ MCA

Additional Information

At our organization, we are committed to fighting against all forms of discrimination. We foster a work environment that is inclusive and respectful of all differences.

All of our positions are open to people with disabilities.