Hexaware Technologies

Banjara Hills, Hyderabad

Must have 4-6 years of experience in Data warehouse, ETL, BI projects Must have atleast 4+ years of experience in Snowflake Expertise in Snowflake architecture is must. Must have atleast 3+ years of experience and strong hold in Python/PySpark Must have experience implementing complex stored Procedures and standard DWH and ETL concepts Proficient in Oracle database, complex PL/SQL, Unix Shell Scripting, performance tuning and troubleshoot Good to have experience with AWS services and creating DevOps templates for various AWS services. Experience in using Github, Jenkins Good communication and Analytical skills Snowflake certification is desirable

Experience : 6-9yrs Notice Period : imm - 60 daysWork location : Pune, Bangalore, Chennai, Mumbai Work mode : Hybrid Key Requirements:- Strong experience in cloud migrations and pipelines- Good understanding of Database and Data Engineering concepts- Hands-on experience in SQL and Python- Experience in Java development- Proficiency in Google Cloud Platform tools like Data Flow, Data Transfer services, and AirFlow- Working knowledge of Data Preprocessing techniques using DataFlow, DataProc, and DataPrep- Familiarity with BigQuery, Kafka, PubSub, GCS, and Schedulers- Proficiency in PostgreSQL is preferred- Experience with real-time and scheduled pipelines- Cloud certification is a plus- Experience in implementing ETL pipelines- Familiarity with MicroServices or Enterprise Application Integration Patterns is advantageous

Work Mode: Hybrid6-9 years of overall IT experience, preferably in cloud environments.Minimum of 5 years of hands-on experience with AWS cloud development projects.Design and develop AWS data architectures and solutions.Build robust data pipelines and ETL processes using big data technologies.Utilize AWS data services such as Glue, Lambda, Redshift, and Athena effectively.Implement infrastructure as code (IaC) using Terraform.Proficiency in SQL, Python, and other relevant programming/scripting languages.Experience with orchestration tools like Apache Airflow or AWS Step Functions.Strong understanding of data warehousing concepts, data lakes, and data governance frameworks.Expertise in data modeling for both relational and non-relational databases.Excellent communication skills are essential for this role.

Work mode : Hybrid Overall 4-9 yrs of IT experience preferably in cloudMin 3 years in Azure Databricks on development projectsShould be 100% hands on in Pyspark codingShould have strong SQL expertise in writing advanced/complex SQL queriesDWH experience is a must for this roleExperience in programming using Python is an advantageExperience in data ingestion, preparation, integration, and operationalization techniques in optimally addressing the data requirementsShould be able to understand system architecture which involves Data Lakes, Data Warehouses and Data MartsExperience to own end-to-end development, including coding, testing, debugging and deploymentExcellent communication is required for this role