Job Title: Cloud Engineer
Location: Remote
Job Type: Contract
Overview
Bright Tier Solutions is seeking a highly skilled Cloud Engineer with a strong background in cloud platforms like AWS, Azure, and GCP. The ideal candidate will be proficient in designing, implementing, and maintaining scalable ETL pipelines and data lakes using a variety of cloud-native tools. This role demands expertise in data platforms like Redshift, Snowflake, Databricks, and Synapse, with a focus on optimizing data ingestion and transformation processes. Familiarity with data extraction from SAP or ERP systems is a plus.
Key Responsibilities:
Design and Development:
- Design, develop, and maintain scalable ETL pipelines using cloud-native tools such as AWS DMS, AWS Glue, Kafka, Azure Data Factory, and GCP Dataflow.
- Architect and implement data lakes and data warehouses on platforms such as AWS, Azure, and GCP.
- Develop and optimize data ingestion, transformation, and loading processes using platforms like Databricks, Snowflake, Redshift, BigQuery, and Azure Synapse.
- Implement ETL processes with tools like Informatica, SAP Data Intelligence, and others.
Data Integration and Management:
- Integrate various data sources including relational databases, APIs, unstructured data, and ERP systems into the data lake.
- Ensure data quality and integrity through rigorous testing and validation.
- Perform data extraction from SAP or ERP systems when necessary.
Performance Optimization:
- Monitor and optimize the performance of data pipelines and ETL processes.
- Implement best practices for data governance, security, and compliance.
Collaboration:
- Collaborate with data scientists, analysts, and cross-functional teams to understand data requirements and design data solutions.
- Partner with stakeholders to deliver high-quality, efficient cloud data solutions aligned with business needs.
Documentation and Maintenance:
- Document all technical solutions, processes, and workflows.
- Maintain, troubleshoot, and optimize existing ETL pipelines and data integrations.
Required Qualifications:
- Education: Bachelor's degree in Computer Science, Information Technology, or a related field (Advanced degrees are a plus).
- Experience:
- 7+ years of experience in a Data Engineer or Cloud Engineer role.
- Extensive experience with cloud platforms like AWS, Azure, and GCP.
- Hands-on experience with cloud-native ETL tools such as AWS DMS, AWS Glue, Kafka, Azure Data Factory, GCP Dataflow, etc.
- Proficiency in data platforms like Redshift, Snowflake, Databricks, BigQuery, and Azure Synapse.
- Experience with SAP or ERP systems data extraction is a plus.
- Strong experience with Spark and Scala for data processing.
Key Skills:
- Strong programming skills in Python, Java, or Scala.
- Proficient in SQL and query optimization techniques.
- Familiarity with data modeling, ETL/ELT processes, and data warehousing concepts.
- Knowledge of data governance, security, and compliance best practices.
- Excellent problem-solving, analytical, and communication skills.
Preferred Qualifications:
- Experience with additional data tools and technologies such as Apache Spark or Hadoop.
- Certifications in cloud platforms (e.g., AWS Certified Data Analytics – Specialty, Google Professional Data Engineer, Microsoft Certified: Azure Data Engineer Associate).
- Experience with CI/CD pipelines and DevOps practices for data engineering.
