Position Summary

We are looking for a highly skilled and experienced Data Engineering Manager to lead our data engineering team. The ideal candidate will possess a strong technical background, strong project management abilities, and excellent client handling/stakeholder management skills. This role requires a strategic thinker who can drive the design, development and implementation of data solutions that meet our clients’ needs while ensuring the highest standards of quality and efficiency.

Job Responsibilities

• Technology Leadership – Lead guide the team independently or with little support to design, implement deliver complex cloud-based data engineering / data warehousing project assignments
• Solution Architecture & Review – Expertise in conceptualizing solution architecture and low-level design in a range of data engineering (Matillion, Informatica, Talend, Python, dbt, Airflow, Apache Spark, Databricks, Redshift) and cloud hosting (AWS, Azure) technologies
• Managing projects in fast paced agile ecosystem and ensuring quality deliverables within stringent timelines
• Responsible for Risk Management, maintaining the Risk documentation and mitigations plan.
• Drive continuous improvement in a Lean/Agile environment, implementing DevOps delivery approaches encompassing CI/CD, build automation and deployments.
• Communication & Logical Thinking – Demonstrates strong analytical skills, employing a systematic and logical approach to data analysis, problem-solving, and situational assessment. Capable of effectively presenting and defending team viewpoints, while securing buy-in from both technical and client stakeholders.
• Handle Client Relationship – Manage client relationship and client expectations independently. Should be able to deliver results back to the Client independently. Should have excellent communication skills.

Education

Work Experience

• Should have expertise and 8+ years of working experience in at least two ETL tools among Matillion, dbt, pyspark, Informatica, and Talend

• Should have expertise and working experience in at least two databases among Databricks, Redshift, Snowflake, SQL Server, Oracle
• Should have strong Data Warehousing, Data Integration and Data Modeling fundamentals like Star Schema, Snowflake Schema, Dimension Tables and Fact Tables.
• Strong experience on SQL building blocks. Creating complex SQL queries and Procedures.
• Experience in AWS or Azure cloud and its service offerings
• Aware of techniques such as: Data Modelling, Performance tuning and regression testing
• Willingness to learn and take ownership of tasks.
• Excellent written/verbal communication and problem-solving skills and
• Understanding and working experience on Pharma commercial data sets like IQVIA, Veeva, Symphony, Liquid Hub, Cegedim etc. would be an advantage
• Hands-on in scrum methodology (Sprint planning, execution and retrospection)

Behavioural Competencies

Technical Competencies