Jobseeker

Skills & Competencies3+ years experience as a Data Engineer.
Demonstrated experience in implementing data pipelines/ETL into data warehouses and data querying and analysis using cloud-based solutions such as AWS Redshift or Snowflake.
Proficiency in SQL & Python for advanced querying, data manipulation, and performance optimization.
Experience with ETL tools like AWS Glue, Airbyte or Talend for building automated data pipelines.
Strong knowledge of data modeling and transformation using tools like dbt.
Hands-on experience with workflow automation tools such as Airflow.
Expertise in managing CouchDB or PostgreSQL databases, including schema management, performance tuning, and complex queries.
Extensive data warehouse experience, with skills in performance tuning, query optimization, indexing, and data integrity management.
Proficiency in using BI tools such as Tableau, Power BI, or Superset for creating reports and dashboards.
Strong understanding of data governance, security, and compliance best practices in cloud environments.
Soft Skills: Teamwork, Collaboration, Problem solving, Strong communication and presentation skills to effectively translate technical concepts to business stakeholders.
Minimum QualificationsA Bachelor’s degree in computer science, Data Science, Statistics, Mathematics, or a related discipline.
Professional certifications or equivalent experience in data management, ETL processes, data warehousing, data visualization, and managing large and complex datasets.