Axtria - Senior Manager - Data Engineering (8-13 yrs)

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 (Python, dbt, Airflow, Apache Spark, Databricks, Redshift) and cloud hosting (AWS) 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.

Work Experience:

- Should have expertise and 8+ years of working experience in at least two ETL tools among Matillion, dbt, pyspark, and AWS.

- 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).

Education: BE/B.Tech, MCA, M.Sc., M.Tech.