Senior Principal Engineer - Data Engineering
Senior Principal Engineer - Data Engineering
Employer Active
Job Alert
You will be updated with latest job alerts via email
Share
Job Alert
You will be updated with latest job alerts via email
Job Description
Company:
MercerDescription:
We are seeking a talented individual to join our Data Engineering team at Mercer. This role will be based in Gurgaon/ Mumbai. This is a hybrid role that has a requirement of working at least three days a week in the office.
Senior Principal Engineer - Data Enginering
We will count on you to:
Design develop and maintain scalable and robust data pipelines on Databricks.
Collaborate with data scientists and analysts to understand data requirements and deliver solutions.
Optimize and troubleshoot existing data pipelines for performance and reliability.
Ensure data quality and integrity across various data sources.
Implement data security and compliance best practices.
Monitor data pipeline performance and conduct necessary maintenance and updates.
Document data pipeline processes and technical specifications.
Use analytical skills to solve complex problems associated with database development and management.
Working with other teams such as data scientists business analysts and Qlik Developers to identify organizational needs and design effective solutions.
Providing technical leadership and guidance to the team. This may include code reviews mentoring
and helping team members troubleshoot technical issues.
Aligning the data engineering strategy with the wider organizational strategy. This might involve deciding which projects to prioritize making technology choices and planning for the teams growth and development.
Ensuring that all data engineering activities are compliant with relevant laws and regulations and that data is stored and processed securely.
Keeping up-to-date with new technologies and methodologies in the field of data engineering and fostering a culture of innovation and continuous improvement within the team.
Communicate effectively with both technical and non-technical stakeholders explaining data infrastructure strategies and systems in an understandable way.
What you need to have:
Bachelors degree (BE/) in Computer Science/IT/ECE etc. MIS or related qualification. A masters degree is always helpful
3-5 years of experience in data engineering
Proficiency with Databricks or AWS (Glue S3) Phython and Spark
Strong SQL skills and experience with relational databases
Knowledge of data warehousing concepts and ETL processes
Excellent problem-solving and analytical skills
Effective Communication Skills
What makes you stand out
Exposure to any BI tool like Qlik(Preference tool) Power BI Tableau etc.
Hands on experience on SQL OR PL-SQL
Experience with big data technologies (e.g. Hadoop Kafka)
Agile JIRA and SDLC process knowledge
Teamwork and collaboration skills
Strong Quantitative and Analytical skills
Why join our team:
- We help you be your best through professional development opportunities interesting work and supportive leaders.
- We foster a vibrant and inclusive culture where you can work with talented colleagues to create new solutions and have impact for colleagues clients and communities.
- Our scale enables us to provide a range of career opportunities as well as benefits and rewards to enhance your well-being
Required Experience:
Staff IC
Employment Type
Full-Time
