Senior Data Engineer
Accenture is a global professional services company with leading capabilities in digital, cloud, and security. Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, Accenture Song — all powered by the world’s largest network of Advanced Technology and Intelligent Operations centers. Our 740,000+ people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries.
Our Technology Center solves industries and organizations’ most challenging problems with leading-edge technologies. Our Bulgarian Technology team is currently implementing complex global projects in a vast portfolio of industries – e-commerce, retail, insurance, banking, telecommunications, automotive, public sector, travel, and culture.
We are currently recruiting for a Senior Data Engineer with solid experienced in data engineering, machine learning and passion about Big Data. You will have the chance to join a newly created team of Data Engineers, Data Scientists and Data Analysts and be part of the growth and development of it, participate in a large variety of exciting and challenging projects and work with our exceptional team of Technology professionals.
To keep it short, below are some key responsibilities:
- Develop, customize, and manage integration tools, databases, warehouses, and analytical systems with the use of data related instruments/instances.
- Create and run complex queries and automation scripts for operational data processing.
- Test the reliability and performance of each part of a system and cooperate with the testing team.
- Deploying data models into production environments. This entails providing the model with data stored in a warehouse or coming directly from sources, configuring data attributes, managing computing resources, setting up monitoring tools, etc.
- Responsible for setting up tools to view data, generate reports, and create visuals.
- Monitoring the overall performance and stability of the system. Adjust and adapt the automated pipeline as data/models/requirements change.
- Mentor and train colleagues where necessary by helping them learn and improve their skills, as well as innovate and iterate on best practices.
- Solve complex issues with minimal supervision.
- Make improvement and process recommendations that have an impact on the business.
Technology Stack Used & Required Knowledge:
- Excellent understanding of ETL cycle such as AWS Glue with Python for scalable ETL workflows.AWS Glue with Python for scalable ETL workflows.
- Experience in using of Python/ PySpark and/or Scala for data engineering.
- Understanding of data types/ handling of different data models.
- Desirable to have experience with Spark, Flink, Kafka, Flask, Apache Airflow
- Experience in AWS Big Data Analytics
- Expertise in utilizing Python libraries and frameworks in conjunction with AWS services such as Amazon Redshift
- Experience utilizing libraries like Boto3 and AWS SDK for Python
- Experience with data visualization tools is a plus (PowerBI, Tableau).
- Understanding of descriptive and exploratory statistics, predictive modelling, evaluation metrics, decision trees, machine learning algorithms is a plus.
- Good scripting and programming skills.
- Developing serverless functions with AWS Lambda using Python
- AWS Data Governance and Security is a plus
- AWS Data Pipeline Automation with Python
- Experience with AWS Snowflake.
The Rest of the qualities, you know them:
- Leading and organizing teams of various sizes.
- Client Facing Skills
- Travel Availability (short/long term)
- Flexibility in using different technologies/ platforms.
- Ability to shift gears quickly and cope with change.
- Analytical & Detail Oriented
- Confident, proactive, and self-motivated
- Disciplined and “Team first approach” oriented.
Benefits:
- Employee Assistance Program
- Career Counselling
- Ability for working from home for people on maternity/paternity leave.
- Additional paid time off
- Hybrid working regime.
- Options to buy shares.
- Relocation Bonus
- Luxury health & dental insurance
- Life insurance
- Bonuses for special occasions
- Certification
- Food vouchers
- Multisport cards
- Fuel card/Public transport card
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