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We are seeking an experienced Data Engineer with 5+ years of expertise in Data Engineering and Data Analysis. The ideal candidate will play a key role in designing, developing, and optimizing scalable data pipelines that ingest, transform, and integrate data from multiple source systems while ensuring high data quality, reliability, and performance. Working in an Agile environment, the candidate will collaborate with cross-functional teams to build robust data solutions, support reporting and analytics, and enable data-driven decision-making across the organization. Strong experience in ETL development, complex data modeling, SQL, and reporting is essential.
Technical Skills:
Job ID: 153640491
Skills:
Data Modeling, Pyspark, AWS Glue, Sql, Terraform, Python, Etl Development, AWS Step Functions, AWS EventBridge, AWS IAM Security Best Practices, S3-based Data Lakes, Data Validation Reconciliation Frameworks
Skills:
Gcp, Apache Spark, Databricks, Tableau, Python, Sql, AWS, Airflow, Bitbucket Pipelines, dbt
Skills:
Data Modeling, Pyspark, Apache Spark, AWS Glue, Sql, Git, Azure Data Factory, Gcp, Docker, Azure Data Lake, Data Warehousing, Azure, Python, AWS, Etl, Airflow, GCP BigQuery
Skills:
snowflake , Power Bi, Tableau, Redshift, Sql, ELT, Azure Data Factory, Postgres, Databricks, Python, Etl, Aws S3
Skills:
data discovery , Alteryx, Power Bi, Data Lineage, Power Query, Sql, ETL data transformation, Data Mapping, Semantic models, Power BI datasets