This role is for one of our clients

Company Name: Vidpro Consultancy Services

Seniority level: Mid-Senior level

Min Experience: 5+ years

Location: Bengaluru, Hyderabad, Telangana, India, Pune, Kolkata, West Bengal, India, Chennai, Tamil Nadu, India

- JobType: full-time

Role: Senior Databricks Engineer Experience: 5-8 years Location: Bangalore, Chennai, Hyderabad,Kolkata, Pune Mandatory Skills: Python, PySpark, Etl, Sql, Azure Databricks, Azure Datafactory.

Primary Roles and Responsibilities :

- Developing Modern Data Warehouse solutions using Databricks and AWS/ 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
- Help joiner team members to resolve issues and technical challenges.
- Drive technical discussion with client architect and team members
- Orchestrate the data pipelines in scheduler via Airflow

Skills and Qualifications :

- Bachelor's and/or master’s degree in computer science or equivalent experience.
- Must have total 6+ yrs. of IT experience and 3+ years' experience in Data warehouse/ETL projects.
- Deep understanding of Star and Snowflake dimensional modelling.




- Strong knowledge of Data Management principles
- Good understanding of Databricks Data & AI platform and Databricks Delta Lake Architecture
- Should have hands-on experience in SQL, Python and Spark (PySpark)
- Desirable to have ETL with batch and streaming (Kinesis).
- Experience in building ETL / data warehouse transformation processes
- Experience with Apache Kafka for use with streaming data / event-based data
- Experience with other Open-Source big data products Hadoop (incl. Hive, Pig, Impala)
- Experience with Open Source non-relational / NoSQL data repositories (incl. MongoDB, Cassandra, Neo4J)
- Experience working with structured and unstructured data including imaging & geospatial data.
- Experience working in a Dev/Ops environment with tools such as Terraform, CircleCI, GIT.
- Proficiency in RDBMS, complex SQL, PL/SQL, Unix Shell Scripting, performance tuning and troubleshoot
- Databricks Certified Data Engineer Associate/Skilled 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.

Must-have skills : Azure Databricks, PySpark, SQL

Good-to-have skills : Python, Azure Data Factory, ETL

📌 Azure Data Engineer (Pune)
🏢 Weekday`
📍 Pune