Senior Engineer

Data Engineer

Must Have Technical/Functional Skills

* Programming

Languages:

Proficient in SQL, Pyspark, Python

* Data Pipeline & ETL:
Proficiency in building ETL/ELT pipelines using tools like Apache Airflow, AWS EC2, EMR, S3, dbt, Azure Data factory

* Database Management:
Expertise in data warehousing solutions like Snowflake or Redshift, Databricks

* Cloud Platforms:
Working knowledge of cloud providers (AWS) is essential.

* Data Modeling:
Designing efficient schemas (star/snowflake) for dimensional modelling and semantic models for Visualization tools

* Data Governance & Security:
Implementing data encryption, masking, and role-based access control.

* Problem-Solving & Troubleshooting:
Identifying bottlenecks in data workflows and creating scalable, robust solutions.

* Collaboration:

Working with data scientists and analysts to understand business needs and deliver actionable data.

* Version Control:
Using tools like Git for managing code for data pipelines.

Roles & Responsibilities

* Designing and implementing through data architecture strategies

* Analyzing complex issues to create innovative solutions

* Upholding standards in project deliverables

* Developing a thorough understanding of the business environment

* Managing and navigating complex scenarios effectively

* Building and maintaining excellent client relationship

* Enhancing personal brand and technical skills

* Mentoring and guiding junior team members

* Implementing end to end solutions catering to the business requirements

Generic Managerial Skills, If any

* Track the deliverables assigned and deliver on time with great quality

* Participation in Scrum calls and sprint planning and agile ceremonies

* Offshore coordination

Education

Bachelor's 4 yr degree and above

Salary Range: $100000 - $110000 a year

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