Senior Data Engineer
Indegene
Job Description
Must Have
Role: Sr. 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
- Bachelor's degree in Computer Science, Information Systems, or a related field.
- Must have 4-6 years experience with ETL tools (Dataiku) and SQL(Snowflake, MsSQL, Oracle etc.)
- Must have - Technical background with 4-6 years experience in data engineering, ETL frameworks.
Good to have
- 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.