6 - 9 years
25 - 32 Lacs
Posted:1 month ago|
Platform:
Hybrid
Full Time
Strong Development Experience in building the complex ETL pipelines (Batch processing, Bulk data, Data migration, CDC)
• Data Engineering and ETL/ELT for structured and unstructured data text, pdf, word, html, .md etc.• Strong experience in Data Processing, Data Quality, Data Modeling tools, Master data management• Strong Experience in Data Security, DataOps and Observability• Experience with Databricks, Snowflake, Redshift, BigQuery• ETL Tools (Airbyte/Fivetran/Mattalion/Apache Airflow)• Python, Spark, PySpark, Snowpark, Java Spring boot Micro-services• Experience in handling various data formats (Delta, Iceberg, Apache X Table)• Experience in data Pipeline testing• Azure Data Lake, AWS S3, GCP • SQL, Snow SQL, RDBMS Databases, NoSQL Database• Experience in Streaming technologies (Kinesis, Kafka)• Experience in Data Cloud Services (AWS/Azure/Google) Glue, Appflow, Azure Data Factory• Strong in data analysis• Strong Problem-solving skills• Experience in ML development tools/libraries(Jupyterlab/Anaconda, TensorFlow, PyTorch, and ScikitLearn, MLFlow) is desirable
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