• US Citizen

• Green Card

• EAD (OPT/CPT/GC/H4)

• H1B Work Permit

• Corp-Corp

• W2-Permanent

• W2-Contract

• Contract to Hire

• Consulting/Contract

• UG :- - Not Required

• PG :- - Not Required

• No of position :- ( 1 )

• Post :- 16th Dec 2024

An undergraduate or postgraduate degree in computer science, information science, management information systems, a related field, or equivalent experience relevant to this position.
10+ years’ experience working with structured, semi-structured, and unstructured data.
10+ years IT domain experience in pharmaceutical industry
8+ years’ experience designing and implementing data solutions on Amazon Web Services (AWS), using product offerings such as: Databricks, Informatica, S3, Athena, Glue, EMR, Lambda, RDS, EC2, DynamoDB, Elasticache, Redshift, Neptune, and Kinesis.
4+ years’ experience using data management and analysis tools such as Databricks, Informatica, RStudio/Posit, Immuta, and ETL tools like Informatica.
Strong knowledge of AI data preparation and the tools available as well as their implementation and usage.
Deeply passionate about learning and innovating using leading edge and next generation solutions in big data engineering, cloud, and open source.
Sound understanding of various data solution patterns and when to use them. Examples include: ETL/ELT, RDBMS, Data Vault and Data Warehousing techniques, Normalization/De-normalization, Key-Value, In-Memory, Wide Column, Columnar, Graph, Text-Indexing, Vector, Partitioning, Streaming, and Messaging.
Strong software engineering and object-oriented programming skills with expertise in SQL, Python, Scala, R, and Java; including open-source frameworks/libraries, such as Spark, Airflow and streaming services.
Strong data architecture, data warehousing, data modeling and data wrangling skills using SQL, Stored Procedures, Oracle, MS SQL Server, PostgreSQL.
Knowledge of traditional big data systems, such as Hadoop, Impala, Sqoop, Oozie and Cassandra, and Redshift.
Hands on experience with various Business Intelligence tools such as Tableau and PowerBI
Deep Databricks and Informatica experience required.
Leadership and Teamwork
Strong track record of effective cross-functional team collaboration and execution
Ready to think, behave, and act in an innovative consulting manner to drive the EIT Technology Strategy.
Effective leadership skills. These include team building, consensus building, the ability to balance team and individual responsibilities and achieving goals through others not directly under the leader's supervision, by working ethically and with integrity.
Communication, Organization, and Issue Resolution Skills
Excellent interpersonal and communication skills. Influential networker with a collaborative mindset and strong customer-centric focus.
Ability to plan, organize, prioritize, and work effectively in a fast paced and dynamic environment.
Proven problem solver who takes ownership and is driven by a strong sense of urgency, timely resolution, and keen attention to detail to execute successfully under time and resource demands.
Information Technology Planning, Analysis, Design, Architecture and Management
Strong business analysis skills and experience, which include issues resolution and business needs solutioning.
Familiarity with information management practices, system development life cycle (SDLC) management, IT services management, agile and lean methodologies, infrastructure and operations, Enterprise Architecture (EA), and Information Technology Infrastructure Library (ITIL) frameworks.
Experience in managing application / system changes in accordance with computer system validation, 21 CFR Part 11 and GxP policies.
Domain Knowledge:
Experience in enabling product development through the use of big data analytics and data science solutions and familiarity of pharma functions and processes.
Strong technical knowledge of life science production systems that will help weigh trade-offs and evaluate risks when designing for future states.