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