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