Data Engineering Lead

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.

Role: Lead Data Engineer - Databricks

Description: We are seeking a highly skilled Senior Databricks Lead with 5+ years of experience in data engineering and architecture. This role is ideal for an expert who brings deep hands-on experience with Databricks, Apache Spark, and cloud platforms (AWS, Azure, or GCP), along with a strong foundation in designing and implementing scalable, secure, and high-performing data solutions. You will be responsible for driving the design and implementation of modern data architectures including data lakes, data warehouses, and streaming systems, while working closely with cross-functional teams to ensure alignment with business goals. This is a strategic technical role with a strong focus on execution and continuous improvement.

JOB DESCRIPTION:

- Manage day-to-day data operations ensuring high-quality delivery and alignment with business objectives.

- Oversee the maintenance, improvement, and development of ETL pipelines, data governance, and processes.(Dataiku, SQL).

- Should be proficient with Snowflake Analytical SQL queries, complex SQL queries.

- Continuously review, optimize, and enhance data processes to improve efficiency and reduce risk

- Collaborate closely with onshore stakeholders (Data & Analytics leads, Business Units, IT) to define and implement data strategies and solutions

- Translate business needs into technical solutions, ensuring scalability, reliability, and relevance of the data services provided.

- Develop and maintain strong working relationships with onshore and offshore teams to ensure seamless project execution.

- Translate business needs into technical solutions, ensuring scalability, reliability, and relevance of the data services provided.

- Maintain and publish status reports, and lead governance meetings

- Establish and maintain data governance frameworks, policies, and procedures to ensure data quality and integrity across the organization.

- Monitor and report on data quality issues, working with relevant teams to implement corrective actions.

- Manage the offshore reporting team to develop and maintain dashboards and reports that provide actionable insights to business stakeholders.

- Maintain regular communication with senior leadership and stakeholders on project status, team performance, and any critical issues.

- Develop presentations, reports, and updates for stakeholders that summarize key outcomes, ongoing initiatives, and value delivered

Desired Profile / Skills

-Bachelor's degree in Computer Science, Information Systems, or a related field.

-5+ years of experience in data engineering, big data, or cloud data architecture roles. Strong expertise in Databricks, Apache Spark, and Delta Lake.

-Proven experience designing and delivering large-scale data lakes, warehouses, and streaming platforms.

-In-depth experience with cloud platforms (AWS, Azure, or GCP), including native services and integration patterns.

-Strong coding skills in Python, Scala, or SQL.

-Solid understanding of data governance, security, IAM, and regulatory compliance in cloud environments.

-Experience with tools like Airflow, dbt, or CI/CD pipelines for data.

-Excellent problem-solving, documentation, and communication skills.

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.