Accellor is looking for a Senior Data Engineer with extensive experience in developing ETL processes using Py Spark Notebooks and Microsoft Fabric, and supporting existing legacy SQL Server environments.

The ideal candidate will possess a strong background in Spark-based development, demonstrate a high proficiency in SQL, and be comfortable working independently, collaboratively within a team, or leading other developers when required.

Design, develop, and maintain ETL pipelines using Py Spark Notebooks and Microsoft Fabric.

Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver efficient data solutions.

Migrate and integrate data from legacy SQL Server environments into modern data platforms.

Optimize data pipelines and workflows for scalability, efficiency, and reliability.

Provide technical leadership and mentorship to junior developers and other team members.

Troubleshoot and resolve complex data engineering issues related to performance, data quality, and system scalability.

Develop, maintain, and enforce data engineering best practices, coding standards, and documentation.

Conduct code reviews and provide constructive feedback to improve team productivity and code quality.

Support data-driven decision-making processes by ensuring data integrity, availability, and consistency across different platforms.

Requirements Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field.

10+ years of experience in data engineering, with a strong focus on ETL development using Py Spark or other Spark-based tools.

Proficiency in SQL with extensive experience in complex queries, performance tuning, and data modeling.

Experience with Microsoft Fabric or similar cloud-based data integration platforms is a plus.

Strong knowledge of data warehousing concepts, ETL frameworks, and big data processing.

Familiarity with other data processing technologies (e.g., Hadoop, Hive, Kafka) is an advantage.

Experience working with both structured and unstructured data sources.

Excellent problem-solving skills and the ability to troubleshoot complex data engineering issues.

Proven ability to work independently, as part of a team, and in leadership roles.

Strong communication skills with the ability to translate complex technical concepts into business terms.

Preferred skills Experience with Azure Data Services, including Azure Data Factory, Azure Synapse, or similar tools.

Knowledge of scripting languages (e.g., Python, Scala) for data manipulation and automation.

Familiarity with Dev Ops practices, CI/CD pipelines, and containerization (Docker, Kubernetes) is a plus.

Benefits Exciting Projects:   We focus on industries like High-Tech, communication, media, healthcare, retail and telecom.

Our customer list is full of fantastic global brands and leaders who love what we build for them.

Collaborative Environment:   You Can expand your skills by collaborating with a diverse team of highly talented people in an open, laidback environment — or even abroad in one of our global canters.

Work-Life Balance:  Accellor prioritizes work-life balance, which is why we offer flexible work schedules, opportunities to work from home, and paid time off and holidays.

Professional Development:   Our dedicated Learning & Development team regularly organizes Communication skills training, Stress Management program, professional certifications, and technical and soft skill trainings.

Excellent Benefits:   We provide our employees with competitive salaries, family medical insurance, Personal Accident Insurance, Periodic health awareness program, extended maternity leave, annual performance bonuses, and referral bonuses.