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Cloud Data Engineer (Remote - India) at Jobgether. This position is posted by Jobgether on behalf of a partner company. We are currently looking for a . Cloud Data Engineer. in . India. .. This role offers an exciting opportunity to design, implement, and manage scalable cloud-based data solutions that support critical business decision-making. You will work with leading cloud platforms, ETL pipelines, and data lakes to ensure efficient, secure, and reliable data processing. The position requires expertise in optimizing data ingestion, transformation, and storage while collaborating closely with cross-functional teams to meet evolving business needs. You will have the chance to influence cloud data architecture, improve data quality, and implement best practices across large-scale cloud environments. The role is fully remote, offering flexibility while enabling impact across global projects.. . Accountabilities. Design, develop, and maintain scalable ETL pipelines using cloud-native tools like AWS DMS, AWS Glue, Kafka, Azure Data Factory, and GCP Dataflow.. Architect and implement data lakes and warehouses on AWS, Azure, and GCP, optimizing ingestion, transformation, and loading processes.. Integrate multiple data sources including relational databases, APIs, unstructured data, and ERP/SAP systems into cloud data platforms.. Ensure data quality, integrity, and compliance through rigorous testing, validation, and documentation of workflows.. Collaborate with data scientists, analysts, and stakeholders to deliver high-quality cloud data solutions aligned with business objectives.. Monitor and optimize performance of ETL pipelines, implementing best practices for data governance, security, and scalability.. Maintain and troubleshoot existing data integrations while documenting technical solutions and processes.. . Bachelor’s degree in Computer Science, Information Technology, or a related field (Master’s preferred).. 7+ years of experience as a Data Engineer or Cloud Engineer with hands-on experience in cloud platforms such as AWS, Azure, and GCP.. Proficient in cloud-native ETL tools (AWS Glue, DMS, Kafka, Azure Data Factory, GCP Dataflow).. Strong experience with data platforms like Redshift, Snowflake, Databricks, BigQuery, and Azure Synapse.. Experience with Spark, Scala, and programming in Python, Java, or Scala.. Skilled in SQL, data modeling, ETL/ELT processes, and data warehousing concepts.. Familiarity with SAP or ERP systems data extraction is a plus.. Knowledge of data governance, security, compliance, and CI/CD practices in data engineering.. Excellent problem-solving, analytical, and communication skills.. Preferred Qualifications:. Cloud certifications (AWS, Azure, GCP).. Experience with Apache Spark or Hadoop.. Exposure to DevOps practices for data engineering.. . Company Location: India.