Senior Data Engineer

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Description

· 8-12 years of experience in Data Engineering, Big Data, Data Lake, or Lakehouse implementations. · Hands-on experience with Databricks, Snowflake, Cloudera, Azure, AWS, GCP, Huawei, or Alibaba data platforms. · Hands-on experience in developing Data products and marketplaces · Strong expertise in Spark, PySpark, SQL, Python and Scala. · Strong programing skills (Java, Scala, Python, SQL) · Experience with Iceberg, Hudi, Delta Lake and object storage platforms. · Experience implementing data ingestion, transformation, reconciliation and data quality frameworks. · Experience with Trino, Dremio, Hive, Impala, Kafka, Flink, Spark Streaming and Airflow. · Strong hands-on experience with Kubernetes, OpenShift, Docker, CI/CD, MLflow and observability tools. · Ability to design data architectures supporting NLP and AI‑driven analytics, including ingestion, curation, and governance of unstructured data within Data Lake, Data warehouse platforms. · Experience working with MLplatforms such as CML, Spark MLlib, and Python ML libraries (scikit‑learn, XGBoost), including model deployment. , Flask, React). · Knowledge of data modelling, metadata management, lineage and governance. · Experience exposing data through APIs, eventstreams, dashboards and BI platforms. · Knowledge of Teradata, Netezza, Greenplum or MPPmigration programs is advantageous. · Experience with Kubernetes, OpenShift, Terraform, Jenkins, Git and CI/CD pipelines. No. 25C2690 | EA License No. R1877766

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