Posted today · be early

Databricks

PradeepIT Consulting Services Pvt Ltd

IndiaremotePosted today

Skill Required

Data-EngineerData-Warehouse-EngineerETL-DeveloperBig-Data-EngineerDatabricksAzure-DatabricksDatabricks-AnalyticsDatabricks-AnalysisDatabricks-DevelopmentDatabricks-ArchitectureDatabricks-DeveloperDatabricks-ConsultingDatabricks-EngineeringDatabricks-EngineerQuery Optimizationdata engineeringShell ScriptingtroubleshootingKafkaEngineeringanalyticaldevelopingSnowflakeCassandraTerraformanalyticsbuildingGitHub ActionsAirflowMongoDBwrittenSparkPythonHadoopOracleNeo4jAzureAgileFulltime

Key highlights

6+ years IT experience
3+ years Data warehouse/ETL experience
Python/ PySpark / Spark with Azure/ AWS Databricks
Databricks and AWS/Azure stack

Role overview

This role focuses on developing Modern Data Warehouse solutions using Databricks and AWS/Azure stacks, involving the creation of ETL pipelines and data models to fulfill business reporting needs while collaborating with architects and BI leads.

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
Collaborating with DW/BI leads to understanding new ETL pipeline development requirements.
Triage issues to find gaps in existing pipelines and fix the issues
Work with businesses to understand the need in the reporting layer and develop a data model to fulfill reporting needs
Help joiner team members to resolve issues and technical challenges.
Drive technical discussion with client architects and team members
Orchestrate the data pipelines in the scheduler via Airflow

Requirements

Bachelor's and/or master's degree in computer science or equivalent experience.
Must have a total of 6+ yrs. of IT experience and 3+ years' experience in Data warehouse/ETL projects.
Deep understanding of Star and Snowflake dimensional modeling.
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
Experience in building ETL / data warehouse transformation processes
Proficiency in RDBMS, complex SQL, PL/SQL, Unix Shell Scripting, performance tuning, an troubleshooting.
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: Python/ PySpark / Spark with Azure/ AWS Databricks

Nice to have

Desirable to have ETL with batch and streaming (Kinesis).
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, and GIT.
Databricks Certified Data Engineer Associate/Professional Certification (Desirable).