📢 We’re Hiring: Senior Data Engineer | Hybrid
🔹Key Responsibilities
-Design, develop, and optimize scalable ETL/ELT pipelines for batch and near-real-time data processing.
-Build and maintain data ingestion solutions and Data Warehouse / Data Lake architectures.
-Develop and optimize data processing workloads using SQL, Python, Spark, PySpark, Hive, and Impala.
-Manage workflow orchestration using Apache Airflow and troubleshoot production pipelines.
-Improve data quality, performance, reliability, security, and operational efficiency.
-Perform root-cause analysis, resolve production incidents, and ensure pipeline SLAs.
-Collaborate with cross-functional teams, conduct code reviews, and mentor junior engineers.
🔹Key Requirements
-Bachelor’s degree in computer science, IT, Engineering, or a related field.
5+ years of experience in Data Engineering, ETL, Big Data, or Data Warehousing.
-Strong expertise in SQL, Python, Apache Spark/PySpark, and relational databases.
-Hands-on experience with the Hadoop ecosystem, including HDFS, Hive, and YARN.
-Experience with Apache Airflow and ETL/ELT tools such as Apache NiFi, Sqoop, or equivalent technologies.
-Strong knowledge of Data Warehouse concepts, dimensional modeling, incremental loading, and performance optimization.
-Experience with Git, CI/CD, Linux/Unix, and production support.
-Strong analytical, problem-solving, communication, and technical leadership skills.
📩 Interested? please send your CV to [email protected]
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