20 days ago
Sofia, BulgariaSenior
Responsibilities
- Develop, customize, and manage data integration tools, databases, warehouses, and analytical systems.
- Create and run complex queries and automation scripts for operational data processing.
- Test system reliability and performance in cooperation with the testing team.
- Deploy data models into production using warehouse or source data, configured attributes, computing resources, and monitoring tools.
- Set up tools for data viewing, report generation, and visualization.
- Monitor system performance and stability and adapt automated pipelines as data, models, and requirements change.
- Mentor and train colleagues and contribute to improved engineering practices.
- Resolve complex issues with minimal supervision.
- Recommend process and technical improvements with business impact.
- Lead and organize teams of varying sizes and support client-facing projects.
Requirements
- Strong experience in data engineering, machine learning, and Big Data.
- Excellent understanding of ETL workflows, including AWS Glue with Python.
- Experience with Python, PySpark, and/or Scala for data engineering.
- Understanding of data types and different data models.
- Experience with AWS Big Data Analytics and AWS services such as Amazon Redshift.
- Experience with Python libraries and frameworks, including Boto3 and AWS SDK for Python.
- Experience developing serverless functions with AWS Lambda using Python.
- Good scripting and programming skills.
- Experience with AWS Data Pipeline Automation using Python.
- Experience with AWS Snowflake.
- Experience with data visualization tools such as Power BI or Tableau is a plus.
- Knowledge of Spark, Flink, Kafka, Flask, and Apache Airflow is desirable.
- Knowledge of descriptive and exploratory statistics, predictive modeling, evaluation metrics, decision trees, and machine learning algorithms is a plus.
- Knowledge of AWS data governance and security is a plus.
- Ability to lead and organize teams, work with clients, adapt to different technologies and platforms, and travel as needed.
- Analytical, detail-oriented, confident, proactive, self-motivated, disciplined, and team-oriented approach.
Benefits
- Employee Assistance Program.
- Career counselling.
- Work-from-home option for employees on maternity or paternity leave.
- Additional paid time off.
- Hybrid working regime.
- Options to buy shares.
- Relocation bonus.
- Luxury health and dental insurance.
- Life insurance.
- Bonuses for special occasions.
- Certification support.
- Food vouchers.
- Multisport cards.
- Fuel card or public transport card.
Tech Stack
Categories
Data Engineering
About Accenture
Accenture is a global professional services firm providing management consulting, systems integration and technology, cybersecurity, and business process outsourcing for enterprises and governments. It operates a services-driven model delivering projects and managed services, often with major cloud and software partners, across industries worldwide. Headquartered in Dublin and publicly traded on the NYSE (ACN), it originated as Andersen Consulting and adopted the Accenture name in 2001.