Associate/Sr. Associate – Technical Architect – Data warehousing/Big data technologies – 7 to 10 years
Summary – An Excellent opportunity for someone who has more than six years of experience. One should have experience in data warehousing, data modelling and big data technologies such as Hadoop/Hive/Spark/Databricks to be right fit for the job.
Your Future Employer- One of the top technology solutions providers that leverage data to enable business insights.
To design, build and operationalize large scale enterprise data warehouse solutions.
Streaming data processing and Big Data technologies such as Hadoop/Hive/Spark/Databricks.
To design and build data pipelines from ingestion to consumption within a big data architecture using Java / Python / Scala.
Knowledge of data architecture and design patterns and the ability to apply them.
Comprehensive knowledge and understanding of the power and value of data with an ability to apply technology solutions to meet business needs and deliver organizational strategy.
Minimum 7 years of hands on experience in designing, building and operationalizing large scale enterprise data warehouse solutions.
Practical hands-on experience with the following areas of DW/BI: ETL, Data Analysis, Data Modelling/Architecture, Reporting, DW Quality Assurance, Master & Metadata Management, Data Governance, Data Lineage, Big Data, Data Security, Performance Tuning, BI/ DW Solution Architecture and BI/DW infrastructure.
Experience with streaming data processing and Big Data technologies such as Hadoop/Hive/Spark/Databricks.
Good knowledge of designing and building data pipelines from ingestion to consumption within a big data architecture using Java / Python / Scala.
Excellent communication, presentation and interpersonal skills with experience of successfully winning over audiences with compelling and persuasive presentations
What is in it for you: -
A stimulating work environment with equal employment opportunities.
Work in a fast-paced environment in an established brand.
Grow in a culture focused on training and mentoring.
Reach us: -
If this role is aligned with your career, kindly write me an email along with your updated resume at firstname.lastname@example.org for a confidential discussion on the role.
Crescendo Global in specializes in Senior to C-level niche recruitment. We are passionate about empowering job seekers and employers with an engaging memorable job search and leadership hiring experience. Crescendo Global does not discriminate on the basis of race, religion, color, origin, gender, sexual orientation, age, marital status, veteran status or disability status.
Profile Keywords – Data warehousing, data modelling, data analysis, big data, Hive, Hadoop, Databricks, Spark, technical architect, data architect, Crescendo Global.
Note: - We receive a lot of applications on a daily basis so it becomes a bit difficult for us to get back to each candidate. Please assume that your profiles have not been shortlisted in case you don’t hear back from us in 1 week. Your patience is highly appreciated.