<div><span style="font-size: 14px; color: rgba(0, 0, 0, 0.9);">Bright Tier Solutions specialize in providing world-class service augmentation in a tiered approach, tailored to meet the diverse needs of modern businesses. As leaders in IT and infrastructure staff augmentation, we are dedicated to elevating operational capacities and enhancing the efficiency of organizations across the globe. </span>We invests in our employees of diverse talents and backgrounds and empowers them to achieve more than they could elsewhere.</div>

Bright Tier Solutions

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