Were seeking a skilled and motivated Data Engineer to join our team and help drive data-driven decision-making across the organization. This role is ideal for someone passionate about building scalable data solutions and collaborating cross-functionally to deliver impactful analytics.
Key Responsibilities:
- Design build and maintain secure scalable data pipelines and engineering solutions.
- Develop and support cloud and on-premise data infrastructure including data warehouses and APIs.
- Collaborate with business stakeholders to translate requirements into technical specifications.
- Optimize data workflows and automate repetitive tasks.
- Perform root cause analysis and identify opportunities for data process improvements.
- Support analytics initiatives by integrating new data sources and maintaining data quality.
Qualifications:
- Bachelors degree in Computer & Information Science (Masters preferred).
- 3 years of experience in data engineering or IT.
- Strong SQL skills and experience with relational databases.
- Proficiency in Python Java/Scala and cloud platforms (AWS preferred).
- Experience with Apache Spark Hadoop Snowflake and ETL tools (e.g. Informatica Airflow Kafka).
- Familiarity technologies (C# ) and web application development.
- Strong analytical problem-solving and communication skills.
- Ability to work both independently and collaboratively in a fast-paced environment.
Were seeking a skilled and motivated Data Engineer to join our team and help drive data-driven decision-making across the organization. This role is ideal for someone passionate about building scalable data solutions and collaborating cross-functionally to deliver impactful analytics. Key Respo...
Were seeking a skilled and motivated Data Engineer to join our team and help drive data-driven decision-making across the organization. This role is ideal for someone passionate about building scalable data solutions and collaborating cross-functionally to deliver impactful analytics.
Key Responsibilities:
- Design build and maintain secure scalable data pipelines and engineering solutions.
- Develop and support cloud and on-premise data infrastructure including data warehouses and APIs.
- Collaborate with business stakeholders to translate requirements into technical specifications.
- Optimize data workflows and automate repetitive tasks.
- Perform root cause analysis and identify opportunities for data process improvements.
- Support analytics initiatives by integrating new data sources and maintaining data quality.
Qualifications:
- Bachelors degree in Computer & Information Science (Masters preferred).
- 3 years of experience in data engineering or IT.
- Strong SQL skills and experience with relational databases.
- Proficiency in Python Java/Scala and cloud platforms (AWS preferred).
- Experience with Apache Spark Hadoop Snowflake and ETL tools (e.g. Informatica Airflow Kafka).
- Familiarity technologies (C# ) and web application development.
- Strong analytical problem-solving and communication skills.
- Ability to work both independently and collaboratively in a fast-paced environment.
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