Senior Data Engineer
2 weeks ago
Unlock Your Potential as a Senior Data Engineer
We are seeking an experienced Senior Data Engineer to join our team at Alignity Solutions. As a key member of our data engineering team, you will be responsible for architecting, designing, and building data engineering solutions and platforms, including data warehouses and data platforms using Redshift or Snowflake.
Key Responsibilities:
- Data Platform Architecture: Design and build data engineering solutions and platforms, including data warehouses and data platforms using Redshift or Snowflake.
- Data Acquisition and Transformation: Utilize data acquisition and transformation tools such as Fivetran and DBT to streamline data integration and processing.
- Pipeline Optimization: Develop and maintain highly optimized and efficient data engineering pipelines using Python and PySpark.
- Distributed Processing: Work with distributed data processing frameworks like Apache Hadoop, Apache Spark, or Apache Flink.
- Real-Time Data Processing: Implement real-time data stream processing using Apache Kafka, Kinesis, or Flink.
- AWS Services: Utilize various AWS services, including S3, EC2, EMR, Lambda, RDS, DynamoDB, Redshift, and Glue Catalog, for data management and processing.
- SQL Programming: Apply expertise in advanced SQL programming and SQL performance tuning to ensure efficient data querying and processing.
- Version Control: Use version control tools such as GitHub or Bitbucket to manage and track code changes.
- Dimensional Modeling: Demonstrate expert-level understanding of dimensional modeling techniques for data warehousing and business intelligence.
- Communication and Collaboration: Work collaboratively with cross-functional teams, displaying excellent communication and adaptability.
- Analytical Skills: Apply strong analytical skills with attention to detail, focusing on accuracy, consistency, and quality.
- Problem-Solving: Utilize strong logical and problem-solving skills with critical thinking to address complex data engineering challenges.
Qualifications:
- 7 years of experience in data engineering, including architecting, designing, and building data engineering solutions and platforms.
- Experience in building data warehouses/data platforms on Redshift or Snowflake.
- Experience with data acquisition and transformation tools such as Fivetran and DBT.
- Experience in building optimized and efficient data engineering pipelines using Python and PySpark.
- Experience with distributed data processing frameworks like Apache Hadoop, Apache Spark, or Apache Flink.
- Experience with real-time data stream processing using Apache Kafka, Kinesis, or Flink.
- Experience with AWS services (S3, EC2, EMR, Lambda, RDS, DynamoDB, Redshift, Glue Catalog).
- Expertise in advanced SQL programming and SQL performance tuning.
- Experience with version control tools such as GitHub or Bitbucket.
- Expert-level understanding of dimensional modeling techniques.
- Excellent communication, adaptability, and collaboration skills.
- Strong analytical skills, attention to detail, and problem-solving abilities.
Benefits:
Alignity Solutions is an Equal Opportunity Employer. We offer a competitive salary and benefits package, including health insurance, retirement plans, and paid time off.
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