Senior Data Engineer

4 weeks ago

Bengaluru, India Huron Full time
The Opportunity

Huron helps its clients drive growth, enhance performance and sustain leadership in the markets they serve. We help healthcare organizations build innovation capabilities and accelerate key growth initiatives, enabling organizations to own the future, instead of being disrupted by it. Together, we empower clients to create sustainable growth, optimize internal processes and deliver better consumer outcomes.Health systems, hospitals and medical clinics are under immense pressure to improve clinical outcomes and reduce the cost of providing patient care. Investing in new partnerships, clinical services and technology is not enough to create meaningful and substantive change. To succeed long-term, healthcare organizations must empower leaders, clinicians, employees, affiliates and communities to build cultures that foster innovation to achieve the best outcomes for patients.Joining the Huron team means you’ll help our clients evolve and adapt to the rapidly changing healthcare environment and optimize existing business operations, improve clinical outcomes, create a more consumer-centric healthcare experience, and drive physician, patient and employee engagement across the enterprise.Join our team as the expert you are now and create your future.

Position Summary

Roles and ResponsibilitiesThe analytics engineer will grow and develop their skills and take on the responsibility of supporting the accessibility, management, and updating of the Consumer Insight Platform’s data assets. Areas of focus include:1.Data Integration and Processing:a.Design, develop, and maintain robust data pipelines for the ingestion, transformation, and integration of diverse datasets from various sources into the Consumer Insights platform.b.Ensure data quality and integrity throughout the entire data lifecycle.2.Algorithm Development:a.Collaborate with data scientists and analysts to implement algorithms and statistical models that extract meaningful insights from large datasets.b.Optimize algorithms for performance and scalability to handle large-scale data processing.3.Data Analysis:a.Work closely with business stakeholders to understand their analytical needs and translate requirements into actionable insights.4.Collaboration and Communication:a.Collaborate with cross-functional teams, including data scientists, software engineers, and business analysts, to understand requirements and deliver effective analytics solutions.b.Communicate findings and insights to non-technical stakeholders in a clear and understandable manner.5.Mentoring/Peer Review:a.Teach and assist peers in learning subject matter and guide them through our technologyb.Perform peer reviews on others’ work, providing clear and meaningful comments

Qualifications

Skills/Capabilities

The senior analytics engineer is expected to have a high level of understanding or exposure to the following skills, technologies, and competencies:Solid understanding of data modeling, statistical analysis, and machine learning concepts. Strong analytical and problem-solving skills, with the ability to analyze complex datasets and derive meaningful conclusions. Strong level of comfort using Python, or an equivalent language, to manipulate data, and comfortable with data mining/cleaning tools (Pandas, Pyspark optional) and Visualization (matplotlib, seaborn, plotly optional) Strong familiarity with common BI Tools (at least one of: Quicksight, Tableau, Power BI) Demonstrates an understanding of large-scale data warehousing technologies (Amazon Redshift) Solid understanding of Cloud Services (AWS), including S3, Athena, Redshift, EC2, RDS, Lambda (optional) Understanding of US Healthcare operations and/or marketing job functions (preferred)The senior analytics engineer should also have the following characteristics:A love for learning and growth Attention to detail and a drive to do things with high quality Enjoys working collaboratively with others to understand requirements and reach effective solutions A driven self-starter who is capable of both independent work and highly collaborative work across a team A team player who enjoys mentoring and guiding junior peers and takes pride in the accomplishments of the team

Education

The senior analytics engineer should, or be on track to, have a bachelor's degree in Computer Science, Statistics, or a similar technical/quantitative field, or have an equivalent level of experience with demonstrable understanding of core competencies.

Experience

The senior analytics engineer should have at least 3-5 years of industry experience working with data and technology in similar roles.

Skills/Capabilities

The senior analytics engineer is expected to have a high level of understanding or exposure to the following skills, technologies, and competencies:Solid understanding of data modeling, statistical analysis, and machine learning concepts. Strong analytical and problem-solving skills, with the ability to analyze complex datasets and derive meaningful conclusions. Strong level of comfort using Python, or an equivalent language, to manipulate data, and comfortable with data mining/cleaning tools (Pandas, Pyspark optional) and Visualization (matplotlib, seaborn, plotly optional) Strong familiarity with common BI Tools (at least one of: Quicksight, Tableau, Power BI) Demonstrates an understanding of large-scale data warehousing technologies (Amazon Redshift) Solid understanding of Cloud Services (AWS), including S3, Athena, Redshift, EC2, RDS, Lambda (optional) Understanding of US Healthcare operations and/or marketing job functions (preferred)The senior analytics engineer should also have the following characteristics:A love for learning and growth Attention to detail and a drive to do things with high quality Enjoys working collaboratively with others to understand requirements and reach effective solutions A driven self-starter who is capable of both independent work and highly collaborative work across a team A team player who enjoys mentoring and guiding junior peers and takes pride in the accomplishments of the team

Education

The senior analytics engineer should, or be on track to, have a bachelor's degree in Computer Science, Statistics, or a similar technical/quantitative field, or have an equivalent level of experience with demonstrable understanding of core competencies.

Experience

The senior analytics engineer should have at least 3-5 years of industry experience working with data and technology in similar roles.

Posting Category

HealthcareOpportunity Type

RegularCountry

India

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