200+ applicants

Company

Original Job Post

TekJobs · 1 day ago

Data Engineer

United States

Full-time

Remote

Senior Level

5+ years exp

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Deepthi K

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Responsibilities

Extensive experience leveraging Python to build data transformation pipelines (ETL) and experience with libraries such as pandas and NumPy.

Experience building and optimizing 'big data' data pipelines, architectures, and datasets.

Build processes supporting data transformation, data structures, metadata, dependency, and workload management.

A successful history of manipulating, processing, and extracting value from large disconnected datasets.

Working knowledge of message queuing, stream processing, and highly scalable 'big data' data stores.

Strong project management and organizational skills.

Experience supporting and working with cross-functional teams in a dynamic environment.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

SQLRelational DatabasesPythonETLPandasNumPyPysparkAWS GlueAWS EMRBig DataData PipelinesData ArchitectureRoot Cause AnalysisData ProcessingMessage QueuingStream ProcessingData StoresMetadata ManagementWorkload ManagementData ManipulationData ExtractionValue ExtractionUnstructured DatasetsQuantitative FieldComputer ScienceStatisticsInformaticsInformation SystemsProblem SolvingAnalytic Skills

Required

Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.

Extensive experience leveraging Python to build data transformation pipelines (ETL) and experience with libraries such as pandas and NumPy.

Experience with pyspark.

Experience using AWS Glue and EMR to construct data pipelines

Experience building and optimizing ‘big data’ data pipelines, architectures, and datasets.

Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.

Strong analytic skills related to working with unstructured datasets.

Build processes supporting data transformation, data structures, metadata, dependency, and workload management.

A successful history of manipulating, processing and extracting value from large disconnected datasets.

Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores.

Strong project management and organizational skills.

Experience supporting and working with cross-functional teams in a dynamic environment.

5+ years of experience in a Data Engineer role.

Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field.

Preferred

Experience with big data tools: Spark, Kafka, etc.

Experience with relational SQL and NoSQL databases, including Postgres. Experience with data pipeline and workflow management tools: AWS Glue, Airflow.

Experience with AWS cloud services: EC2, EMR, RDS, Redshift

Experience with stream-processing systems: Storm, Spark-Streaming, etc.

Experience with object-oriented/object function scripting languages: Python, Java, etc.