SQL Developer

2 months ago

bangalore, India Careerfit.ai Full time

Responsibilities :

- Design, develop, and refine data warehouse solutions utilizing Amazon Redshift and SQL-based 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 end-users.

- 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.

- Hands-on experience with AWS services, including Redshift, S3, Glue, and Lambda.

- Expertise in SQL programming, including query optimization and performance tuning techniques.

- Exceptional problem-solving 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 cross-functional 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 cloud-based data warehousing platforms like Google BigQuery or Snowflake, broadening the candidate's skill set

(ref:hirist.tech)

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