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DATA ANALYTICS
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- Posted 4 days ago
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Job Description
Experience: 3 to 8 years
Should have experience in Data Engineering, Data Pipeline Development, or a related field
Advanced SQL skills including complex joins, CTEs, window functions, and query performance optimization
Hands on experience in Python and or PySpark for data transformation, automation, and processing
Proven experience in building and maintaining end to end ETL and ELT pipelines
Hands on expertise in at least one cloud data platform such as AWS, GCP, or Azure and its associated data warehouse or lake service such as Snowflake, BigQuery, Databricks, or Microsoft Fabric
Experience with workflow orchestration tools such as Airflow, dbt, Cloud Composer, Data Factory, or similar tools
More Info
Key Skills
Cloud Composer
Microsoft Fabric
About Company
Skills:
Power Bi, Data Quality, Data Governance, Data Modelling, Sql, Snowflake Data Warehouse, AI-driven solutions
Skills:
snowflake , Github, Power Bi, Python, Kubeflow
Skills:
Numpy, Github, Scipy, Hive, Pandas, Gcp, Hadoop, Spark, Python, Dask
Skills:
AWS, Sql, Python, Data Warehousing
Skills:
, Python, Advanced Sql, risk indicators, transaction monitoring processes, Familiarity with fraud detection concepts