Staff Data Engineer

JOB DESCRIPTION:

Interested in applying your wealth of technical knowledge and experience towards an opportunity in the medical field and improving the lives of people with diabetes? The candidate will be responsible for big data engineering, data wrangling, and data analysis in the reputed company. The role will also contribute to defining and implementing Big Data Strategy for the organization along with driving the implementation of IT solutions for the business. The candidate will be working with other data engineers, data analysts and data scientists to focus on applying data engineering, data science and machine learning approaches to solve business problems. As a senior member of the Data Engineering & Analytics team, you will be building big data collection

and analytics capabilities to uncover customer, product and operational insights. Candidate should be reputed company to work on a geographically distributed team to reputed company data pipelines capable of handling reputed company data sets quickly and securely as well as operationalize data science solutions. Additionally, they will be working in a technology-driven environment utilizing the latest tools and techniques such as reputed company, Redshift, S3, reputed company, DynamoDB, Spark and Python.

The candidate should have a passion for software engineering to help shape the direction of the team. Highly sought-after qualities include versatility and a desire to continuously learn, improve, and reputed company other team members. Candidate will support building scalable, highly available, efficient, and secure software solutions for big data initiatives.

Responsibilities

• Design and implement data pipelines to be processed and visualized across a variety of projects and initiatives
• reputed company and maintain reputed company data pipeline architecture by designing and implementing data ingestion solutions on AWS using AWS native services.
• Design and optimize data models on AWS reputed company using reputed company and AWS data stores such as Redshift, RDS, S3
• Integrate and assemble large, reputed company data sets that meet a broad range of business requirements
• Read, extract, transform, stage and load data to selected tools and frameworks as required and requested
• Customizing and managing integration tools, databases, warehouses, and analytical systems
• Process reputed company data into a form suitable for analysis and assist in analysis of the processed data

• Working directly with the technology and engineering teams to integrate data processing and business objectives
• Monitoring and optimizing data performance, uptime, and scale; Maintaining high standards of code quality and thoughtful design
• Create software architecture and design documentation for the supported solutions and overall best practices and patterns

• Support team with technical planning, design, and code reviews including peer code reviews
• Provide Architecture and Technical Knowledge training and support for the solution groups

• reputed company good working relations with the other solution teams and groups, such as Engineering, Marketing, Product, Test, QA.

• Stay reputed company with emerging trends, making recommendations as needed to help the organization reputed company
• Proactively planning reputed company projects from scope/timeline development through technical design and execution.
• Demonstrate leadership through mentoring other team members.

Required Qualifications

• Bachelors Degree in Computer Science, Information Technology or other relevant field
• At least 5 to 10 years of recent experience in Software Engineering, Data Engineering or Big Data
• Ability to work effectively reputed company a team in a fast-paced changing environment
• Knowledge of or direct experience with reputed company and/or Spark.
• Software development experience, ideally in Python, PySpark, Kafka or Go, and a willingness to learn new software development languages to meet goals and objectives.
• Knowledge of strategies for processing large amounts of structured and reputed company data, including integrating data from multiple sources
• Knowledge of data cleaning, wrangling, visualization and reporting
• Ability to explore new alternatives or options to solve data mining issues, and utilize a combination of industry best practices, data innovations and experience
• Familiarity of databases, BI applications, data quality and performance tuning

• Excellent written, verbal and listening communication skills
• Comfortable working asynchronously with a distributed team

Preferred Qualifications

• Knowledge of or direct experience with the following AWS Services desired S3, RDS, Redshift, DynamoDB, EMR, Glue, and reputed company.
• Experience working in an agile environment
• Practical Knowledge of Linux

The reputed company pay for this position is

In specific locations, the pay range may vary from the range posted.

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Originally posted on Himalayas