Senior Data Engineer

Role: Senior Data Engineer

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 Bachelors degree in Computer Science, Information Systems, or a related field. Must have 3-5 years experience with ETL tools (Dataiku) and SQL(Snowflake, MsSQL, Oracle etc.) Must have - Technical background with 3-5 years experience in data engineering, ETL frameworks.

Good to have working in the pharmaceutical or healthcare industry.
Familiarity with tools like DBT, Airflow, SQL Analysis queries. Experience managing cross-functional teams including data analysts, and engineers. Strong analytical skills and a problem-solving mindset. Experience in managing SLAs and ensuring consistent delivery within deadlines. Experience with Agile and DevOps methodologies for managing data projects.