SEO Intern

We are looking for a resilient, empathic Business Development Executive to contribute to the growth of our company. Business development executives are responsible for finding and retaining clients, encouraging extant clients to purchase added products or features, and remaining abreast of changes in consumption.

Responsibilities:

• Identifying profitable business opportunities

• Conducting extensive market research

• Creating actionable business strategies

• Nurturing relationships with clients

• Analyzing market trends.

Computer Operator duties and responsibilities

• Identifying and correcting file and system errors.
• Performing data processing operations according to a business production schedule.
• Performing backup procedures to reduce the risk of data loss.
• Maintaining computer equipment and inventory and organizing repairs as needed.

1. Work as part of cross-functional, passionate agile project teams to ensure quality is driven into the heart of the development process from requirements definition to delivery
2. Architecting, designing, developing and deploying new features for mobile applications.
3. Ensure the best possible performance, quality, and responsiveness of the application
4. Diagnose and fix bugs and performance bottlenecks for great performance
5. Maintain code and write automated tests to ensure the product is of the highest quality

1. You have at least 1y ears of full-time mobile development experience (iOS, Android) with at 1 year experience with Flutter & Dart
2. Familiarity with RESTful APIs to connect applications to back-end services
3. Experience developing integrations with common APIs (e.g., Firebase, Twitter, Facebook, Instagram, Stripe, Vimeo, Google etc.)
4. Proficient understanding of code versioning tools, such as Git
5. Strong knowledge of design principles, patterns, and best practices
6. Experience with offline storage, threading, and performance tuning
7. Ability to understand and translate business requirements into technical requirements

Job Description:

We are looking for a Big Data Engineer who have worked across the entire ETL stack. Someone who has ingested data in a batch and live stream format, transformed large volumes of daily and built Data-warehouse to store the transformed data and has integrated different visualization dashboards and applications with the data stores.    The primary focus will be on choosing optimal solutions to use for these purposes, then maintaining, implementing, and monitoring them.

Responsibilities:

• Develop, test, and implement data solutions based on functional / non-functional business requirements.
• You would be required to code in Scala and PySpark daily on Cloud as well as on-prem infrastructure
• Build Data Models to store the data in a most optimized manner
• Identify, design, and implement process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
• Implementing the ETL process and optimal data pipeline architecture
• Monitoring performance and advising any necessary infrastructure changes.
• Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.
• Work with data and analytics experts to strive for greater functionality in our data systems.
• Proactively identify potential production issues and recommend and implement solutions
• Must be able to write quality code and build secure, highly available systems.
• Create design documents that describe the functionality, capacity, architecture, and process.
• Review peer-codes and pipelines before deploying to Production for optimization issues and code standards

Skill Sets:

• Good understanding of optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and ‘big data’ technologies.
• Proficient understanding of distributed computing principles
• Experience in working with batch processing/ real-time systems using various open-source technologies like NoSQL, Spark, Pig, Hive, Apache Airflow.
• Implemented complex projects dealing with the considerable data size (PB).
• Optimization techniques (performance, scalability, monitoring, etc.)
• Experience with integration of data from multiple data sources
• Experience with NoSQL databases, such as HBase, Cassandra, MongoDB, etc.,
• Knowledge of various ETL techniques and frameworks, such as Flume
• Experience with various messaging systems, such as Kafka or RabbitMQ
• Creation of DAGs for data engineering
• Expert at Python /Scala programming, especially for data engineering/ ETL purposes

What you need to have:

• Payment process management
• Update client account details

Key Performance Areas:

• Understanding and staying informed of the changes with procedures, billing guidelines, and laws for specific
• insurance carries or payers.
• Supervising teams of charge entry and collections personnel.
• Claims submission and tracking.
• Payment posting.
• Actively follow up and collect on all electronic claims, including resolution of any billing errors assigned
• following established procedures.
• Respond to correspondence from insurance carriers.
• Responsible for handling customer service issues in a timely manner per provider request.
• Perform other duties as required.
• Post insurance and patient payments for physician and hospital services
• Payment Posting- apply cash, check, credit card, Explanation of Benefits, EOB, EFT, and lockbox payments
• Manage accounts receivable and accounts payable
• Update patient accounts with billing data
• Provide patient customer service with updated data and billing information

Skills required:

• Typing speed- at least 40 wpm
• MS office skills- MS excel proficiency is preferred
• Eye for details- error-free work
• Fair skills of English language knowledge and understanding
• Domain knowledge on medical billing- payment processing is preferred but not mandatory

Educational Qualification & Work Experience

• Graduation in any stream
• Additional certification in typing, a medical prescription will be preferred
• Minimum 3 years experience in payment posting

Individual abilities:

• Willing to work in night shift
• Self- driven/ self-starter
• Problem-solving ability- proactive approach to finding solutions
• Good Interpersonal Ability
• Career Oriented

About this role

We are seeking a seasoned DBA to join our team. You will have extensive experience in a mission-critical environment as a database administrator over a successful career.  You will primarily work on the Supporting our Databases, AWS RDS (MySQL), and  MongoDB/ Cassandra.

What You’ll Do

• Provide leadership in database scaling & monitoring. Maintain runbooks for our 24x7 SRE team. 
• Assist in troubleshooting and resolution of database issues. Perform database upgrades and patches.
• Define and develop data pipelines between platforms in a mission-critical environment using DMS, Fivetran, Kafka, etc.
• Work with our developers to optimize and tune their SQL queries.
• Assist in application development, debugging, and optimization with respect to data concerns.
• Provide input in the design and implementation of backup, recovery, and DR strategy
• Review application and database design for compliance.

What You’ll Need

• Ability to script in a high-level language like Python, Ruby, etc for Automation. 
• 8+ years of experience in AWS database services like RDS (Mysql), MongoDB/ Cassandra.
• 4+ years of experience in database design and DevOps on AWS.
• Must demonstrate a clear understanding of logical and physical database design and standards. 
• Experience in columnar data warehouse solutions like Redshift or Snowflake. 
• Must have extensive hands-on experience with MySQL in a large scale 24x7 production environment with millions of records.
• Bachelor of Science in Computer Science, Mathematics, or Engineering; or equivalent work experience

Bonus Points If You Have

• Experience with NoSQL solutions such as Cassandra/MongoDB etc.
• Experience with software development life cycle (SDLC) in an agile environment
• Hands-on production experience with Big Data applications such as Spark.
• Knowledge of development best practices (source control with Git, continuous integration, automated testing).