DevOps Cloud Engineer

Role Overview: You will be responsible for designing, building, and maintaining data pipelines (ETL / ELT) along with ingesting, transforming, and integrating data from various sources. Your role will also involve optimizing data storage (data lakes, warehouses) and ensuring data quality, consistency, and governance. You will collaborate with analytics / data science teams on datasets and monitor, log, and alert data infrastructure. Key Responsibilities: - Design, build, and maintain data pipelines (ETL / ELT) - Ingest, transform, and integrate data from various sources - Optimize data storage (data lakes, warehouses) - Ensure data quality, consistency, and governance - Collaborate with analytics / data science teams on datasets - Monitor, log, and alert data infrastructure Qualifications Required: - 6+ years in data engineering or related roles - Proficiency in SQL, Python, Scala, or Java - Experience with ETL/ELT tools (Airflow, Spark, NiFi etc.) - Familiarity with cloud data platforms (AWS, GCP, Azure) - Big data tech knowledge (Hadoop, Kafka, Spark) is a plus - Experience in data modeling, partitioning, and performance tuning (Note: Additional details about the company were not provided in the job description.),