Data Engineer

Job Description 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