Azure Data Engineer

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