Data Engineers

You will be responsible for designing, building, and maintaining data pipelines (ETL / ELT) and ingesting, transforming, and integrating data from various sources. You will also optimize data storage in data lakes and warehouses, ensuring data quality, consistency, and governance. Additionally, you will collaborate with analytics and 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 in data lakes and warehouses - Ensure data quality, consistency, and governance - Collaborate with analytics and 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 such as Airflow, Spark, NiFi, etc. - Familiarity with cloud data platforms like AWS, GCP, Azure - Knowledge of big data technologies like Hadoop, Kafka, Spark (is a plus) - Experience in data modeling, partitioning, and performance tuning (Note: No additional company details were provided in the job description.),