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Responsibilities:
· Analyze complex data sets to answer specific questions using MMIT’s market access data (MMIT) and Norstella claims data, third-party claims data (IQVIA LAAD, Symphony SHA). Applicant must have experience working with the aforementioned data sets exclusively.
· Deliver consultative services to clients related to MMIT RWD sets
· Produce complex analytical reports using data visualization tools such as Power BI or Tableau
· Define customized technical specifications to surface MMIT RWD in MMIT tools.
· Execute work in a timely fashion with high accuracy, while managing various competing priorities; Perform thorough troubleshooting and execute QA; Communicate with internal teams to obtain required data
· Ensure adherence to documentation requirements, process workflows, timelines, and escalation protocols
· And other duties as assigned.
Requirements:
· Bachelor’s Degree or relevant experience required
· 2-5 yrs. of professional experience in RWD analytics using SQL
· Fundamental understanding of Pharma and Market access space
· Strong analysis skills and proficiency with tools such as Tableau or PowerBI
· Excellent written and verbal communication skills.
· Analytical, critical thinking and creative problem-solving skills.
· Relationship building skills.
· Solid organizational skills including attention to detail and multitasking skills.
· Excellent time management and prioritization skills.
Job Description: Data Engineer
Experience: Over 4 years
Responsibilities:
- Design, develop, and maintain scalable data pipelines for efficient data extraction, transformation, and loading (ETL) processes.
- Architect and implement data storage solutions, including data warehouses, data lakes, and data marts, aligned with business needs.
- Implement robust data quality checks and data cleansing techniques to ensure data accuracy and consistency.
- Optimize data pipelines for performance, scalability, and cost-effectiveness.
- Collaborate with data analysts and data scientists to understand data requirements and translate them into technical solutions.
- Develop and maintain data security measures to ensure data privacy and regulatory compliance.
- Automate data processing tasks using scripting languages (Python, Bash) and big data frameworks (Spark, Hadoop).
- Monitor data pipelines and infrastructure for performance and troubleshoot any issues.
- Stay up to date with the latest trends and technologies in data engineering, including cloud platforms (AWS, Azure, GCP).
- Document data pipelines, processes, and data models for maintainability and knowledge sharing.
- Contribute to the overall data governance strategy and best practices.
Qualifications:
- Strong understanding of data architectures, data modelling principles, and ETL processes.
- Proficiency in SQL (e.g., MySQL, PostgreSQL) and experience with big data querying languages (e.g., Hive, Spark SQL).
- Experience with scripting languages (Python, Bash) for data manipulation and automation.
- Experience with distributed data processing frameworks (Spark, Hadoop) (preferred).
- Familiarity with cloud platforms (AWS, Azure, GCP) for data storage and processing (a plus).
- Experience with data quality tools and techniques.
- Excellent problem-solving, analytical, and critical thinking skills.
- Strong communication, collaboration, and teamwork abilities.
Responsibilities:
* 3+ years of Data Engineering Experience - Design, develop, deliver and maintain data infrastructures.
* SQL Specialist – Strong knowledge and Seasoned experience with SQL Queries
* Languages: Python
* Good communicator, shows initiative, works well with stakeholders.
* Experience working closely with Data Analysts and provide the data they need and guide them on the issues.
* Solid ETL experience and Hadoop/Hive/Pyspark/Presto/ SparkSQL
* Solid communication and articulation skills
* Able to handle stakeholders independently with less interventions of reporting manager.
* Develop strategies to solve problems in logical yet creative ways.
* Create custom reports and presentations accompanied by strong data visualization and storytelling
We would be excited if you have:
* Excellent communication and interpersonal skills
* Ability to meet deadlines and manage project delivery
* Excellent report-writing and presentation skills
* Critical thinking and problem-solving capabilities
Role Summary/Purpose:
We are looking for a Developer/Senior Developers to be a part of building advanced analytical platform leveraging Big Data technologies and transform the legacy systems. This role is an exciting, fast-paced, constantly changing and challenging work environment, and will play an important role in resolving and influencing high-level decisions.
Requirements:
- The candidate must be a self-starter, who can work under general guidelines in a fast-spaced environment.
- Overall minimum of 4 to 8 year of software development experience and 2 years in Data Warehousing domain knowledge
- Must have 3 years of hands-on working knowledge on Big Data technologies such as Hadoop, Hive, Hbase, Spark, Kafka, Spark Streaming, SCALA etc…
- Excellent knowledge in SQL & Linux Shell scripting
- Bachelors/Master’s/Engineering Degree from a well-reputed university.
- Strong communication, Interpersonal, Learning and organizing skills matched with the ability to manage stress, Time, and People effectively
- Proven experience in co-ordination of many dependencies and multiple demanding stakeholders in a complex, large-scale deployment environment
- Ability to manage a diverse and challenging stakeholder community
- Diverse knowledge and experience of working on Agile Deliveries and Scrum teams.
Responsibilities
- Should works as a senior developer/individual contributor based on situations
- Should be part of SCRUM discussions and to take requirements
- Adhere to SCRUM timeline and deliver accordingly
- Participate in a team environment for the design, development and implementation
- Should take L3 activities on need basis
- Prepare Unit/SIT/UAT testcase and log the results
- Co-ordinate SIT and UAT Testing. Take feedbacks and provide necessary remediation/recommendation in time.
- Quality delivery and automation should be a top priority
- Co-ordinate change and deployment in time
- Should create healthy harmony within the team
- Owns interaction points with members of core team (e.g.BA team, Testing and business team) and any other relevant stakeholders