Roles & Responsibilities :

- Design, develop, and maintain data pipelines for ingestion, processing, and storage using SQL, Python, and Big Data technologies.

- Build scalable solutions on Google BigQuery and manage large datasets efficiently.

- Collaborate with Data Scientists, Analysts, and Business teams to understand requirements and deliver actionable data insights.

- Optimize SQL queries, Python scripts, and BigQuery jobs for performance and cost efficiency.

- Implement data governance, quality checks, and security standards across all data assets.

- Monitor and troubleshoot ETL pipelines and data workflows to ensure reliability.

- Participate in architecture discussions and recommend best practices for Big Data solutions.

Required Skills :

- Strong experience in SQL, Python, and Big Data frameworks (Hadoop, Spark, or similar).

- Hands-on experience with Google BigQuery and cloud-based data platforms.

- Expertise in ETL/ELT processes and data warehousing concepts.

- Experience with data modeling, data pipelines, and large-scale data processing.

- Knowledge of cloud platforms (GCP, AWS, or Azure) is a plus.

- Strong problem-solving, analytical, and communication skills.

Desired Skills :

- Familiarity with Airflow, Dataflow, or other workflow orchestration tools.

- Experience with BI tools like Tableau, Looker, or Power BI.

- Certification in Google Cloud Data Engineering is a plus