Data Engineering

Experience : 5 to 8 years

Location : Any Altimetrik office location

Work Mode : Hybrid

Notice Period :

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Data Engineer:

• 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

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  • 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