We are seeking a Senior Snowflake and AWS Data Engineer to lead the development of data pipelines using Apache Spark and PySpark. The ideal candidate will have 7+ years of experience with Snowflake administration and AWS services. Strong analytical and problem-solving skills are required.
Key Highlights
Key Responsibilities
Technical Skills Required
Benefits & Perks
Nice to Have
Job Description
work sponsorship is available for this position
Must Have Qualifications: 7+ years of experience using Snowflake Administration (preferred) or Dremio Administration experience, AWS, Python development and Data pipelining.
Preferred: Snowflake certifications, AWS certifications, and AI/ML knowledge
Required Skills:
- Experience with Snowflake administration is required.
- Experience with Dremio administration.
- Strong hands-on experience building data pipelines using Apache Spark and PySpark.
- Hands on experience with AWS services such as Glue, EMR, Lambda, Step Functions, CloudTrail, CloudWatch, SNS, SQS, S3, VPC, EC2, RDS, IAM.
- Proficient in Python and/or Scala programming languages
- Knowledge of application development lifecycles, & continuous integration/deployment practices
- Experience with development on AWS and cloud native applications
- Experience with S3, DynamoDB, Kinesis and Snowflake
- Experience with developing Data Platforms on AWS
- Proficient in Agile Software Development methodology, processes, and practices.
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Qualifications:
- Bachelor’s degree in related field.
- Strong, analytical, focused, self-driven with excellent problem-solving skills.
- Minimum 5 years of hands-on in-depth experience of AWS Data Pipelines development and implementation is required.
- AWS Associate or Professional level certifications is a plus.
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Benefits: We offer a benefits package including medical, dental, vision, and 401(k).
Compensation: $80.00 – $90.00 per hour. This is the targeted compensation range for this role per year. Please note that this range is provided as a guideline and the final offer will be based on several factors, including but not limited to, skillset and competencies, level of experience, education, certifications, and location.
We are an equal opportunity employer. We do not discriminate on the basis of race, color, religion, sex, national origin, age, disability, genetic information, veteran status, sexual orientation, gender identity, or any other characteristic protected by applicable federal, state, or local law.
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