Posted:2 weeks ago|
Platform:
On-site
Full Time
Python (Pandas, Numpy, basic scripting)
SQL (for querying and data manipulation)
Apache Airflow (or similar ETL orchestrators)
Apache Spark (or equivalent for distributed data processing)
Data normalization & schema design (Star/Snowflake schema)
Familiarity with data warehouses: Snowflake, Redshift, BigQuery
ML pipeline orchestration basics (MLflow or Kubeflow)
Understanding of the ML lifecycle (data prep → train → deploy → monitor)
At least one cloud platform (AWS/GCP/Azure)
AWS S3 / Azure Blob / GCP Storage
Cloud-native data processing (e.g., AWS Glue, Azure Data Factory)
LTIMindtree is proud to be an equal opportunity employer. We are committed to equal employment opportunity regardless of race, ethnicity, nationality, gender, gender-identity, gender expression, language, age, sexual orientation, religion, marital status, veteran status, socio-economic status, disability or any other characteristic protected by applicable law.
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