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Axtria
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Axtria - Senior Manager - Data Engineering (8-13 yrs)
Axtria
posted 1d ago
Flexible timing
Key skills for the job
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.
Functional Areas: Other
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