Job description

Key skills - Strong SQL/Data warehousing concepts/Py spark/AWS

• This position requires a Bachelor's Degree in Computer Science or a related technical field, and relevant employment experience
• Work experience with ETL, Data Modelling, and Data Architecture.
• Expert-level skills in writing and optimizing SQL.
• Experience with Big Data technologies such as Hadoop/Hive/Spark.
• Solid Linux skills.
• Experience operating very large data warehouses or data lakes.
• Expertise in ETL optimization, designing, coding, and tuning big data processes using Apache Spark or similar technologies.
• Experience with building data pipelines and applications to stream and process datasets at low latencies.
• Show efficiency in handling data - tracking data lineage, ensuring data quality, and improving discoverability of data.
• Sound knowledge of distributed systems and data architecture (lambda)- design and implement batch and stream data processing pipelines, knows how to optimize the distribution, partitioning, and MPP of high-level data structures.
• Knowledge of Engineering and Operational Excellence using standard methodologies.

Job Type: Full-time

Salary: $110,000.00 - $140,000.00 per year

Benefits:

• Employee discount
• Flexible schedule
• Health insurance
• Life insurance
• Paid time off
• Retirement plan
• Vision insurance

Schedule:

• 8 hour shift
• Monday to Friday

Supplemental pay types:

• Signing bonus

Experience:

• Data Architecture: 6 years (Preferred)
• SQL: 10 years (Preferred)
• Data warehouse: 10 years (Preferred)
• PY spark: 10 years (Preferred)
• AWS: 10 years (Preferred)
• Big data: 8 years (Preferred)
• Data modeling: 8 years (Preferred)
• ETL: 8 years (Preferred)
• Linux: 6 years (Preferred)

Work Location: Remote

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