Job
Description
Lemongrass Consulting (www.lemongrassconsulting.com) is the leading professional and managed service Lemongrass (lemongrasscloud.com) is a global leader in SAP consulting, focused on helping organizations transform their business processes through innovative solutions and technologies. With a strong commitment to customer success, Lemongrass partners with companies to drive their digital transformation journeys, enabling them to unlock the full potential of their SAP investments. We do this with our continuous innovation, automation, migration and operation, delivered on the world's most comprehensive cloud platforms – AWS, Azure and GCP and SAP Cloud ERP. We have been working with AWS and SAP since 2010 and we are a Premier Amazon Partner Network (APN) Consulting Partner. We are also a Microsoft Gold Partner, a Google Cloud Partner and an SAP Certified Silver Partner. Our team is what makes Lemongrass exceptional and why we have the excellent reputation in the market that we enjoy today. At Lemongrass, you will work with the smartest and most motivated people in the business. We take pride in our culture of innovation and collaboration that drives us to deliver exceptional benefits to our clients every day. About the Role: We are seeking an experienced Cloud Data Engineer with a strong background in AWS, Azure, and GCP. The ideal candidate will have extensive experience with cloud-native ETL tools such as AWS DMS, AWS Glue, Kafka, Azure Data Factory, GCP Dataflow, and other ETL tools like Informatica, SAP Data Intelligence, etc. You will be responsible for designing, implementing, and maintaining robust data pipelines and building scalable data lakes. Experience with various data platforms like Redshift, Snowflake, Databricks, Synapse, Snowflake and others is essential. 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 (AWS DMS, AWS Glue, Kafka, Azure Data Factory, GCP Dataflow, etc.). • Architect and implement data lakes and data warehouses on cloud platforms (AWS, Azure, GCP). • Develop and optimize data ingestion, transformation, and loading processes using Databricks, Snowflake, Redshift, BigQuery and Azure Synapse. • Implement ETL processes using tools like Informatica, SAP Data Intelligence, and others. Develop and optimize data processing jobs using Spark Scala. • 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 management, including data governance, security, and compliance. • Collaboration and Communication: • Work closely with data scientists, analysts, and other stakeholders to understand data requirements and deliver solutions. • Collaborate with cross-functional teams to design and implement data solutions that meet business needs. • Documentation and Maintenance: • Document technical solutions, processes, and workflows. • Maintain and troubleshoot existing ETL pipelines and data integrations. Qualifications: • Education: • Bachelor’s degree in Computer Science, Information Technology, or a related field. Advanced degrees are a plus. • Experience: • 7+ years of experience as a Data Engineer or in a similar role. • Proven experience with cloud platforms: 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. • Experience with other ETL tools like Informatica, SAP Data Intelligence, etc. • Experience in building and managing data lakes and data warehouses. • Proficiency with data platforms like Redshift, Snowflake, BigQuery, Databricks, and Azure Synapse. • Experience with data extraction from SAP or ERP systems is a plus. Strong experience with Spark and Scala for data processing. • 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 and analytical skills. • Strong communication and collaboration skills. Preferred Qualifications: • Experience with other data tools and technologies such as Apache Spark, or Hadoop. • Certifications in cloud platforms (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 What we offer in return: Remote Working: Lemongrass always has been and always will offer 100% remote work Flexibility: Work where and when you like most of the time Training: A subscription to A Cloud Guru and generous budget for taking certifications and other resources you’ll find helpful State of the art tech : An opportunity to learn and run the latest industry standard tools Team: Colleagues who will challenge you giving the chance to learn from them and them from you Selected applicant will be subject to a background investigation, which will be conducted and the results of which will be used in compliance with applicable law. Lemongrass Consulting is an Equal Opportunity/Affirmative Action employer. All qualified candidates will receive consideration for employment without regard to disability, protected veteran status, race, color, religious creed, national origin, citizenship, marital status, sex, sexual orientation/gender identity, age, or genetic information. Selected applicant will be subject to a background investigation. Show more Show less
