Data Engineer

🕒 July 3

🇺🇸 United States – Remote

💵 $110k - $130k / year

⏰ Full Time

🟠 Senior

🔴 Lead

🚰 Data Engineer

👻 Ghost score 22%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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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