More jobs:
Sr Data Engineer-ETL
Job in
Denver, Denver County, Colorado, 80285, USA
Listed on 2026-02-16
Listing for:
InfoVision Inc.
Full Time
position Listed on 2026-02-16
Job specializations:
-
Software Development
Data Engineer
Job Description & How to Apply Below
Job Title:
Sr. Data Engineer-ETL 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 Databricks/Snowflake, experience with ingesting multiple data formats like JSON/Parquet/Delta etc.
- You have a BS or MS in Computer Science or a similar relevant field.
- You work well in a collaborative, team‑based environment.
- You are an experienced engineer 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 അന്ത within cloud‑based ecosystems.
- You enjoy leading projects and mentoring other team members.
- Over 10 years of experience in the Software Development Industry.
- Experience or knowledge of relational SQL and No
SQL 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., Git Hub, VS Code, CI/CD.
- Experience or knowledge in data observability and monitoring.
- Hands‑on experience in designing verrassation data schema life‑cycles.
- Bonus – Experience in tools like Databricks, Snowflake and Thought Spot.
Mid‑Senior level
Employment typeContract
Job functionAnalyst
IndustriesEntertainment Providers
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