Senior Data Engineer

. 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. . Develop full‑stack applications and internal engineering tools using Python, shell scripting, and modern web frameworks (e.g., 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. EA Reg.No. 25C2690 | EA License No. R1877766