Quick Overview
Seniority
Mid Senior
Work mode
Hybrid
Location
Baltimore, MD, United States
Posted
19 hours ago
SQLAWSETLSnowflakeAzureBigQueryDatabricksGoogle CloudPower BIPythonRedshift
Job Description
Role: Data Engineer
Location: Hanover, MD
Duration: 6 months CTH
Mandatory Skills/Competencies:
- Bachelor s degree in computer science, Engineering, or related field.
- 3-5 years of experience in Data Engineering developing production-grade data ingestion, transformation, and orchestration solutions.
- Strong proficiency in SQL and Python (PySpark proficiency will be an added advantage).
- Strong hands-on experience building data pipelines
- Experience working with different data sources (structured, semi-structured, and unstructured).
- Strong hands-on capability in at least one of the following platform areas
- AWS Data Engineering (S3, Glue, Redshift, Lambda, Kinesis, SNS/SQS, EMR, Athena, Quicksight)
- Azure Data Engineering (ADLS Gen2, Fabric, Synapse, Databricks, Power BI)
- Google Cloud Platform Data Engineering (BigQuery, Data Storage, Dataproc, Pub/Sub, Dataflow, Datastream)
- Snowflake (Snowpipe, Streams and Tasks, COPY command, dynamic tables, timetravel, Snowpark, Cortex)
- Matillion (pipeline design, orchestration, parameterization, environment promotion, error handling, and operational monitoring)
- Databricks
- Informatica / IICS
- Curious and growth mindset, meticulous, strong problem-solving, and excellent verbal and written communication skills
- Passion for staying updated with the latest cloud and AI/ML technologies and ability to evaluate and adopt emerging tools and methodologies.
Preferred Qualifications:
- Matillion data engineering certifications such as:
- Matillion ETL Foundations Certification
- Matillion Data Productivity Cloud Foundations Certification
- Snowflake certifications such as:
- SnowPro Core Certification
- SnowPro Advanced: Data Engineer
- Good Understanding of data modelling (Star/Snowflake) and performance tuning
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