Job Title: Cloud Engineer Location: RemoteJob Type: Contract
OverviewBright 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.
