SQL Developer

1 week ago


Bengaluru, Karnataka, India Careerfit Full time

Responsibilities :

  • Design, develop, and refine data warehouse solutions utilizing Amazon Redshift and SQLbased technologies to meet business intelligence and analytics demands.
  • Create and manage database schemas, tables, views, stored procedures, and ETL processes essential for data transformation and storage in Redshift clusters.
  • Craft intricate SQL queries, scripts, and optimizations for efficient extraction, transformation, and analysis of large datasets stored within Redshift databases.
  • Execute performance tuning activities, query optimization techniques, and indexing strategies to enhance the scalability and efficiency of Redshift environments.
  • Collaborate closely with data engineers, data scientists, and business stakeholders to comprehend data necessities and implement appropriate data models and solutions.
  • Troubleshoot data warehouse issues, address data integrity challenges, and offer technical support and guidance to endusers.
  • Stay abreast of advancements in AWS Redshift technology, features, and best practices, contributing to the ongoing enhancement of data warehouse solutions.

Requirements :

  • Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.
  • Proven track record as a database developer or data engineer, showcasing proficiency in Redshift and SQL development.
  • Strong grasp of data warehouse principles, dimensional modeling, and ETL processes.
  • Handson experience with AWS services, including Redshift, S3, Glue, and Lambda.
  • Expertise in SQL programming, including query optimization and performance tuning techniques.
  • Exceptional problemsolving skills, analytical thinking, and communication abilities.

Skills :

  • Redshift Development : Proficient in designing, developing, and optimizing data warehouse solutions using Amazon Redshift.
  • SQL Programming : Skilled in crafting complex SQL queries, scripts, and optimizations for comprehensive data analysis and manipulation.
  • ETL Processes : Experienced in implementing efficient ETL processes for seamless data extraction, transformation, and loading into Redshift databases.
  • Collaboration : Capable of working collaboratively with crossfunctional teams to effectively fulfill data requirements.

Preferred :

  • Certification in AWS, such as AWS Certified Solutions Architect or AWS Certified Data Analytics Specialty, demonstrating advanced proficiency in AWS services.
  • Familiarity with other cloudbased data warehousing platforms like Google BigQuery or Snowflake, broadening the candidate's skill set)

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