Job Description

Job Title: Sr. Data Engineer-ETL

Location: Denver, CO

Duration: Long-term

Main Skill:

• Over 10+ years of experience in the Software Development Industry.
• We need data Engineering exp - building ETLS using spark and sql, real time and batch pipelines using Kafka/firehose, experience with building pipelines with data bricks/snowflake, experience with ingesting multiple data formats like json/parquet/delta etc.

Job Description:

About You

• You have a BS or MS in Computer Science or similar relevant field
• You work well in a collaborative, team-based environment
• You are an experienced engineering with 3+ years of experience
• You have a passion for big data structures
• You possess strong organizational and analytical skills related to working with structured and unstructured data operations
• You have experience implementing and maintaining high performance / high availability data structures
• You are most comfortable operating within cloud based eco systems
• You enjoy leading projects and mentoring other team members

Specific Skills:

• Over 10 years of experience in the Software Development Industry.
• Experience or knowledge of relational SQL and NoSQL databases
• High proficiency in Python, Pyspark, SQL and/or Scala
• Experience in designing and implementing ETL processes
• Experience in managing data pipelines for analytics and operational use
• Strong understanding of in-memory processing and data formats (Avro, Parquet, Json etc.)
• Experience or knowledge of AWS cloud services: EC2, MSK, S3, RDS, SNS, SQS
• Experience or knowledge of stream-processing systems: i.e., Storm, Spark-Structured-Streaming, Kafka consumers.
• Experience or knowledge of data pipeline and workflow management tools: i.e., Apache Airflow, AWS Data Pipeline
• Experience or knowledge of big data tools: i.e., Hadoop, Spark, Kafka.
• Experience or knowledge of software engineering tools/practices: i.e., Github, VSCode, CI/CD
• Experience or knowledge in data observability and monitoring
• Hands-on experience in designing and maintaining data schema life-cycles.
• Bonus - Experience in tools like Databricks, Snowflake and Thoughtspot

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