Data Integration Engineer(AWS, ETL, SQL)

Company Description

LIVE CONNECTIONS is a Search & Recruitment Organization that specializes in finding and placing professionals across all sectors. With over 27+ years of cumulative recruitment experience, we have placed over 40,000 people across 350+ clients in multiple sectors and functions. Our global presence extends to 4 countries with 6 branches and one Resident Rep office. Our key differentiators include a professional, well-trained team of Engineers & MBA's, creative sourcing techniques, a vast database of candidates, a robust and internally-built search engine, and subject-matter insight based on actual market experience.

Role Description

This is a full-time role for a Data Integration Engineer with experience in AWS, ETL, and SQL. The role is located on-site in Hyderabad. The Data Integration Engineer will be responsible for designing, developing, and maintaining data integration solutions that enable the integration of data from various systems, applications, and. databases, and ensure accurate, consistent, and reliable data delivery. The Data Integration Engineer will also collaborate with cross-functional teams to identify and prioritize data integration requirements, implement data integration process improvements, and provide technical support for data integration issues.

Qualifications
 Bachelors degree in Computer Science, Information Systems, or related field
 Minimum of 3 years of experience in data integration, ETL, and data warehouse development
 Experience with AWS services including S3, Glue, Lambda, Redshift, and RDS
 Experience with ETL tools such as Talend, Informatica, and DataStage
 Proficient in SQL, with experience in data modeling, database design, and database administration
 Experience with data integration patterns and best practices, data quality, security, and performance optimization
 Strong analytical, problem-solving, and troubleshooting skills
 Excellent written and verbal communication skills

Experience with Big Data technologies such as Hadoop, Spark, and Kafka is a plus.

We are an equal opportunity employer and welcome candidates from all backgrounds to apply,