Data Engineer

Job Description

We are looking for a talented and motivated Data Engineer with strong experience in PySpark and Python to design, build, and maintain scalable data pipelines and infrastructure. The successful candidate will support the delivery of data-driven insights by transforming raw data into clean, curated datasets for analytics and machine learning applications. Java experience is a plus and will be useful in hybrid environments.

Key Responsibilities :

Develop and optimize robust, scalable data pipelines using PySpark and Python

Clean, transform, and enrich large-scale datasets from structured and unstructured sources

Implement data ingestion, ETL / ELT workflows, and integration strategies across cloud and on-prem platforms

Collaborate with data scientists, analysts, and business stakeholders to understand data requirements

Ensure data quality, integrity, and lineage throughout the data lifecycle

Participate in performance tuning, troubleshooting, and production support

Contribute to best practices in data engineering, including code versioning, testing, and CI / CD

Qualifications

Required Qualifications :

Bachelor’s degree in Computer Science, Data Engineering, or related field

3+ years of experience in data engineering with a focus on PySpark and Python

Strong hands-on experience with distributed data processing frameworks (e.g., Apache Spark)

Solid understanding of SQL, data modeling, and relational databases

Experience working with cloud platforms (e.g., AWS, Azure, GCP)

Familiarity with workflow orchestration tools (e.g., Airflow, Azure Data Factory)

Preferred Qualifications :

Java experience for supporting hybrid data platforms and legacy integrations

Exposure to data lakes, delta lakes, and modern data architectures

Knowledge of containerization (Docker), Kubernetes, and CI / CD pipelines

Familiarity with data governance, security, and compliance frameworks

Additional Information

We believe in supporting our team professionally and personally.

OUR COMMITMENT TO DIVERSITY

At Sia, we believe in fostering a diverse, equitable and inclusive culture where our employees and partners are valued and thrive in a sense of belonging. We are committed to recruiting and developing a diverse network of employees and investing in their growth by providing unique opportunities for professional and cultural immersion. Our commitment toward inclusion motivates dynamic collaboration with our clients, building trust by creating an inclusive environment of curiosity and learning which affects lasting impact.

Please visit our  website for more information.

Sia is an equal opportunity employer. All aspects of employment, including hiring, promotion, remuneration, or discipline, are based solely on performance, competence, conduct, or business needs.