This role is for one of the Weekday's clients

Salary range: Rs 800000 - Rs 2000000 (ie INR 8 - 20 LPA)

Min Experience: 5+ years

Location: Bengaluru, Hyderabad, Telangana, India, Pune, Kolkata, West Bengal, India, Chennai, Tamil Nadu, India
JobType: full-time

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

Requirements

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