Senior Data Engineer
4 weeks ago
About the Role:
Alignity Solutions is seeking an experienced Senior Data Engineer to join our team in Hyderabad, Bangalore, or Pune. As a Senior Data Engineer, 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: Lead the development of data engineering solutions and platforms, ensuring scalability, reliability, and high performance.
- Data Acquisition and Transformation: Utilize data acquisition and transformation tools like 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.
- AW 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.
- 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.
Requirements:
- 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 like 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 like 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.
What We Offer:
- Competitive Salary
- Opportunities for Professional Growth and Development
- Collaborative and Dynamic Work Environment
- Recognition and Rewards for Outstanding Performance
About Alignity Solutions:
- We are an IT Solutions Integrator/Consulting Firm
- We help our clients hire the right professionals for exciting long-term projects
Equal Opportunity Employer:
- M/F/V/D
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