Data Engineer/Senior Data Engineer

Overall professional experience of the candidate should be atleast 3 years with a maximum experience upto 14 years.

The candidate must understand the usage of data Engineering tools for solving business problems and help clients in their data journey. Must have knowledge of emerging technologies used in companies for data management including data governance, data quality, security, data integration, processing, and provisioning. The candidate must possess required soft skills to work with teams and lead medium to large teams.

Candidate should be comfortable with taking leadership roles, in client projects, pre-sales/consulting, solutioning, business development conversations, execution on data engineering projects.

If Selected in R1, Final round will be scheduled F2F in Pune Office.

Role Description:

• Developing Modern Data Warehouse solutions using Databricks and Azure Stack
• Ability to provide solutions that are forward-thinking in data engineering and analytics space
• Collaborate with DW/BI leads to understand new ETL pipeline development requirements.
• Triage issues to find gaps in existing pipelines and fix the issues
• Work with business to understand the need in reporting layer and develop data model to fulfill reporting needs
• Drive technical discussion with client architect and team members
• Orchestrate the data pipelines in scheduler via Airflow Skills and Qualifications:
• Bachelor's and/or masters degree in computer science or equivalent experience.
• Good understanding of Databricks Data & AI platform and Databricks Delta Lake Architecture
• Should have hands-on experience in SQL, Python and Spark (PySpark)
• Experience in building ETL / data warehouse transformation processes
• Proficiency in RDBMS, complex SQL, PL/SQL, Unix Shell Scripting, performance tuning and troubleshoot
• Databricks Certified Data Engineer Associate/Professional Certification (Desirable).
• Comfortable working in a dynamic, fast-paced, innovative environment with several ongoing concurrent projects
• Should have experience working in Agile methodology
• Strong verbal and written communication skills.
• Strong analytical and problem-solving skills with a high attention to detail.

Mandatory Skills

Azure Databricks, Pyspark, Azure Data Factory, Azure Data Lake.

Job Location - Pune

Experience Level - Azure Databricks Engineer ( 3 to 5 Years ) , Lead Data Engineer ( 5 to 8 years ) , Architect ( 9 to 12 years )