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
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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)
- Candidate must have experience in AWS/ Azure stack
- 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/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
Must-have skills
Azure Databricks, PySpark, SQL
Good-to-have skills
Python, Azure Data Factory, ETL
