Lead - Data Engineering

Lead - Data Engineering

We are a technology-led healthcare solutions provider. We are driven by our purpose to enable healthcare organizations to be future-ready. We offer accelerated, global growth opportunities for talent that's bold, industrious, and nimble. With Indegene, you gain a unique career experience that celebrates entrepreneurship and is guided by passion, innovation, collaboration, and empathy. To explore exciting opportunities at the convergence of healthcare and technology, check out www.careers.indegene.com Looking to jump-start your career? We understand how important the first few years of your career are, which create the foundation of your entire professional journey. At Indegene, we promise you a differentiated career experience. You will not only work at the exciting intersection of healthcare and technology but also will be mentored by some of the most brilliant minds in the industry. We are offering a global fast-track career where you can grow along with Indegene's high-speed growth. We are purpose-driven. We enable healthcare organizations to be future ready and our customer obsession is our driving force. We ensure that our customers achieve what they truly want. We are bold in our actions, nimble in our decision-making, and industrious in the way we work.

Must Have

Lead Data Engineer You will be responsible for:

• Provide technical solution leadership in data engineering team, driving technology decisions, mentoring others, and contributing significantly on an individual level.
• Design, develop, test, improve, and maintain new and existing solutions for data integration, data prep, ingestion, cleansing, and transforming raw data into curated datasets for business consumption.
• Build frameworks to handle data at high scale using ETL tools like Informatica/DataIKU/Matillion/Spark and data cataloging tools like Apache Hive, AWS Glue on top of a multi-tiered data lake storage
• Incorporate deep data management expertise into solutions, including permissions, recovery, security, and monitoring.
• Build robust data processing pipelines using AWS Services and integrate with multiple data sources.
• Identify, troubleshoot, debug, and resolve technical issues.
• Work with business and IT groups to understand source systems and enterprise infrastructure offerings.
• Work with data from multiple data sources to build integrated views that will drive decisions.
• Help the Data Engineering team produce high-quality code that allows us to put solutions into production.
• Help us to shape the next generation of our solutions.

Your impact:

About you: (Desired profile)

Must have: (Requirements)

• Experience of Life Sciences and Healthcare domain mandatory
• 1+ years of experience in atleast one modern programming language like Scala/R/Python/Hive/Powershell
• Working knowledge of RESTful APIs and integration will an added advantage
• Should have experience in design patterns and scalable architectures
• Knowledge of Agile, iterative and other SDLC methodologies
• Should have strong analytical skills and good business communication skills to engage technical and Business users
• 8-10 years of experience in consulting or IT experience supporting Enterprise Data Warehouses & Business Intelligence solutions on cloud
• 5+ years of experience in designing and developing Cloud based solutions on AWS and Azure
• 4+ year of experience in AWS Services: RDS, AWS Lambda, AWS Glue, Apache Spark, Kafka, Hive, EC2, SQS, SNS, etc
• Experience of Azure Analytics Services - Azure Analysis Services, SQL Data Warehouse, Data Factory, Databricks
• Experience in SQL and NoSQL databases like MySQL, Redshift, Snowflake, Postgres, Elasticsearch

Perks: (Mention if any, otherwise ignore)

EQUAL OPPORTUNITY

Indegene is proud to be an Equal Employment Employer and is committed to the culture of Inclusion and Diversity. We do not discriminate on the basis of race, religion, sex, colour, age, national origin, pregnancy, sexual orientation, physical ability, or any other characteristics. All employment decisions, from hiring to separation, will be based on business requirements, the candidate's merit and qualification. We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, national origin, gender identity, sexual orientation, disability status, protected veteran status, or any other characteristics.