Hi All,
Hope you are doing well.
Position: Data Engineer
Duration: Contract
Location: Washington, DC
Experience: 8+ Above
Visa: USC only
Job Description:
Urgent Hiring Notice: Data Engineer
Job Description:
We seek a skilled Data Engineer to optimize our data architecture, pipelines, and flow, collaborating cross-functionally and redesigning systems to support future initiatives.
Responsibilities
Develop and maintain optimal data pipeline architecture.
Compile large datasets to meet functional and non-functional business needs. Identify, design, and implement process enhancements, automate manual processes, and optimize data delivery. Build infrastructure for efficient extraction, transformation, and loading of data from diverse sources using SQL and AWS ‘big data’ technologies. Design analytics tools to provide actionable insights into customer acquisition, operational efficiency, and other key business metrics.
Collaborate with stakeholders to address technical issues and meet data infrastructure requirements.
Ensure data segregation and security across multiple locations using AWS regions.
Develop tools for analytics and data science teams to support product innovation.
Collaborate with experts to enhance functionality in our data systems.
Qualifications for Data Engineer
Proficiency in SQL with hands-on experience in relational databases and query writing.
Expertise in constructing and optimizing ‘big data’ pipelines, architectures, and datasets.
Strong analytical skills for unstructured datasets.
Exp in building processes supporting data transformation, structures, metadata, dependency mgmt.
Track record of manipulating extensive datasets successfully.
Knowledge of message queuing, stream processing, and scalable ‘big data’ stores.
Project mgmt skills with cross-functional team experience.
5+ years of experience as a Data Engineer with a degree in Comp Science or related field.
Familiarity with big data tools like Databricks, Spark, RedShift.
Experience with relational SQL and NoSQL databases like Postgres, Oracle.
Familiarity with workflow management tools like Informatica.
Experience with AWS services such as EC2, EMR, RDS, Redshift.
Exposure to stream-processing systems like Storm, Spark-Streaming.
Proficiency in scripting languages like Python, Scala.
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