Data Engineer - SQL/Python (2-3 yrs)

Job Description:.

We are seeking a talented Senior- Data- Engineer/Architects to join our innovative team.

This role offers the flexibility of a hybrid working model, combining remote work with in-office twice a week.

The ideal candidate will be a skilled- data- industry professional with hands-on experience in BigQuery and Python, and a passion for solving problems with- data.

Key Responsibilities:.

Data- Engineering:- Design, develop, and maintain scalable- data- pipelines and architectures.

Data- Analysis:- Utilize SQL and BigQuery to analyze large- datasets and derive actionable insights.

Optimize performance applying cost management techniques.

Knowledge on- data- encryption techniques and key management over cloud.

Collaboration:- Work closely with- data- scientists, analysts, and other stakeholders to understand- data- needs and deliver solutions.

Problem Solving/Competence :

- Apply- data- skills to solve complex business problems and improve decision-making processes.

- Ability to work in fast paced environment and effectively manage priorities.

Technology Integration :

- Implement and manage data solutions using GCP and other relevant technologies.

- Upscale with latest trends, evolving solution to meet business needs.

Must-Have Skills :

BigQuery and Python :

- Minimum of 2-3 years of experience working with these tools.

- Proven experience in building data platforms on cloud platform, preferably GCP.

- Experience with SQL and Python for data processing.

- Expertise with Big Query, Dataflow, Qlik, and cloud functions.

Data Engineering Experience :

- Hands-on experience as a Data Engineer, Analytics Engineer, or Data Architect.

- Experience in implementing security, privacy policies for data governance (GDPR).

- Understanding of DevOps practices for- data- platforms.

Problem-Solving Passion :

- A strong passion for solving problems using- data- skills.

Preferred Qualifications :

- Google cloud professional data engineer.

- Experience in ML and integration with GCP's AI platform.

- Familiarity with data lake implementation for structured source data.

Technology Skills :

- SQL.

- Python Programming.

- Data Science,- Data- Structures, Algorithms.

- BigQuery, PostGres.

Data Visualization Tools :

- Experience with at least one of the following Tableau, Qlik, Google Charts, Data- Studio/Looker.

- GCP (Google Cloud).