About the Role:

We are looking for a passionate Data Engineer to join our growing data team, who will transform raw data into meaningful and reliable data products. In this role, you will play a key part in modernizing traditional ETL processes and architecting next-generation data platforms using big data technologies like Spark and Flink.

Responsibilities:

• Design, develop, and manage end-to-end, efficient, and scalable data pipelines using big data processing technologies like Spark and Flink, as well as industry-standard ETL tools
• Create flexible data models and data warehousing solutions to support analytics and reporting processes that meet business needs
• Analyze existing ETL/ELT processes and SQL queries to implement improvements, optimize resource consumption, and enhance performance
• Collaborate closely with data scientists, analysts, and business units to understand data requirements and deliver high-quality data products
• Ensure the implementation of data governance and security standards, including data quality, data lineage, and reliability
• Stay current with new technologies and approaches in the data field and proactively recommend improvements to the existing infrastructure

Required Qualifications:

• Bachelor's degree in Computer Science, Management Information Systems (MIS), Mathematics, or a related field
• 3+ years of hands-on experience in Data Engineering or Data Warehousing
• Proven experience in developing large-scale data pipelines and ETL/ELT workflows using Python and Spark
• Hands-on experience with workflow scheduling platforms such as Airflow, Dagster, or similar technologies
• Advanced proficiency in SQL and experience with procedural SQL languages such as Oracle PL/SQL
• Experience working with structured and semi-structured data formats like Parquet, Avro, and JSON
• In-depth knowledge of modern data architectures such as data lakes, data lakehouses, and core data modeling principles
• Experience with at least one industry-standard ETL tool such as ODI, Informatica, or Talend

Preferred Qualifications (Nice to have):

• Experience with data processing and optimization in cloud environments (AWS, Azure, GCP), with a preference for GCP
• Experience with real-time data processing and streaming technologies, such as Kafka
• Familiarity with workflow management platforms like Airflow
• Knowledge of containerization technologies like Docker and Kubernetes, and CI/CD processes
• Familiarity with BI tools such as Power BI
• Experience in the banking or finance industry is a significant advantage

Personal Attributes:

• Excellent communication skills in English, both written and verbal
• Strong analytical thinking, problem-solving skills, and a results-oriented mindset
• A team player with the ability to communicate effectively with stakeholders at all technical levels
• Detail-oriented with a commitment to delivering high-quality work

Follow us:

• LinkedIn: https://www.linkedin.com/company/innovance-consultancy
• LinkedIn: https://www.linkedin.com/company/dataspecta
• Instagram: https://www.instagram.com/innovanceconsultancy
• Instagram: https://www.instagram.com/dataspecta