Data Engineer

🕒 July 3

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

EXL

WebsiteLinkedInAll Job Openings

10,000+ employees

🏥 Healthcare

🛡️ Insurance

📦 Logistics

💰 $2M Venture Round on 2015-01

Healthcare • Insurance • Logistics

EXL is a business consulting and services firm that focuses on leveraging data to enhance business operations and decision-making. With a strong emphasis on collaboration and adaptability, EXL partners with organizations to address their unique needs and culture while integrating data science and technology solutions. The company's areas of expertise include operations management, decision analytics, digital transformation, and various industries such as healthcare, finance, and insurance. EXL's mission is to help clients drive business evolution and maintain competitive advantage through tailored solutions and effective use of data.

📋 Description

• Collaborate with data analysts, reporting team and business advisors to gather requirements and define data models that effectively support business requirements • Develop and maintain scalable and efficient data pipelines to ensure seamless data flow across various systems and address any issues or bottlenecks in existing pipelines. • Implement robust data checks to ensure the accuracy and integrity of data. Summarize and validate large datasets to ensure they meet quality standards. • Monitor data jobs for successful completion. Troubleshoot and resolve any issues that arise to minimize downtime and ensure continuity of data processes. • Regularly review and audit data processes and pipelines to ensure compliance with internal standards and regulatory requirements • Familiar with working on Agile methodologies - scrum, sprint planning, backlog refinement etc.

🎯 Requirements

• 7-12 years experience on Data Engineering role working with Databricks and any Cloud technologies- AWS, Azure, Databricks. • Bachelor’s degree in computer science, Information Technology, or related field. • Strong proficiency in PySpark, Python, SQL. • Strong experience in data modeling, ETL/ELT pipeline development, and automation • Hands-on experience with performance tuning of data pipelines and workflows • Proficient in working on any cloud components Azure Data Factory, Azure DataBricks, Azure Data Lake, S3, Lamda. • Experience with data modeling, ETL processes, Delta Lake and data warehousing. • Experience on Delta Live Tables, Autoloader & Unity Catalog. • Preferred - Knowledge of the insurance industry and its data requirements. • Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy. • Excellent communication and problem-solving skills to work effectively with diverse teams • Excellent problem-solving skills and ability to work under tight deadlines.

🏖️ Benefits

• Health insurance • Retirement plans • Paid time off • Flexible work arrangements • Professional development opportunities • Bonuses