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into centralized data repositories.\n* Implement and manage **data lakes** and **data warehouses** solutions on cloud infrastructure.\n* Ensure **data consistency, quality, and compliance** with governance and security standards.\n* Collaborate with data architects, data engineers, and business stakeholders to align integration solutions with organizational needs.\n\nCore qualifications\n\n\n* Proficiency in **Python, Java, or Scala** for big data processing.\n* **Big Data Frameworks:** Strong expertise in **Apache Spark** , Hadoop, Hive, Flink, or Kafka.\n* Hands\\-on experience with data modeling, data lakes ( **Delta Lake** , Iceberg, Hudi), and data warehouses ( **Snowflake** , Redshift, BigQuery).\n* **ETL/ELT Development: Expertise with tools like Informatica, Talend, SSIS, Apache NiFi, dbt, or custom Python\\-based frameworks.**\n* **APIs \\& Integration: Strong hands\\-on experience with REST, SOAP, GraphQL APIs, and integration platforms (MuleSoft, Dell Boomi, SnapLogic).**\n* 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