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Data Engineer - ETL/Data Warehousing (5-15 yrs) Any Location (Analytics & Data | Engineer in E1

Reliable Group

This listing was posted on hirist.

Data Engineer - ETL/Data Warehousing (5-15 yrs) Any Location (Analytics & Data

Location:
Any Location
Description:

POSITION DESCRIPTION :WHAT YOU'LL DO :- Architect, Design, document & implement the data pipelines to feed data models for subsequent consumption in Snowflake using dbt, airflow.- Ensure correctness and completeness of the data being transformed via engineering pipelines for end consumption in Analytical Dashboards.- Actively monitor and triage technical challenges in critical situations that require immediate resolution.- Evaluate viable technical solutions and share MVPS or PoCs in support of the research- Develop relationships with external stakeholders to maintain awareness of data and security issues and trends.- Review work from other tech team members and provide feedback for growth Implement Data Performance, Data security policies that align with governance objectives and regulatory requirementsYOU'RE GOOD AT :- You have experience in data warehousing, data modeling, and the building of data engineering pipelines. - You are well versed in data engineering methods, such as ETL and ELT techniques through scripting and/or tooling. - You are good in analyzing performance bottlenecks and providing enhancement recommendations; you have a passion for customer service and a desire to learn and grow as a professional and a technologist.- Strong analytical skills related to working with unstructured datasets. Collaborating with product owners to identify requirements, define desired outcomes and deliver trusted results. - Building processes supporting data transformation, data structures, metadata, dependency and workload management.- In this role, SQL is heavily focused. An ideal candidate must have hands-on experience with SQL database design. Plus, Python.- Demonstrably deep understanding of SQL (level: advanced) and analytical data warehouses (Snowflake preferred).- Demonstrated ability to write new code i.e., well-documented and stored in a version control system (we use GitHub & Bitbucket)- Extremely talented in applying SCD, CDC and DQ/DV framework. UDA dependency and workload management. - In this role, SQL is heavily focused. An ideal candidate must have hands-on experience with SQL database design. Plus, Python.- Demonstrably deep understanding of SQL (level: advanced) and analytical data warehouses (Snowflake preferred).- Demonstrated ability to write new code i.e., well-documented and stored in a version control system (we use GitHub & Bitbucket).- Extremely talented in applying SCD, CDC and DQ/DV framework. Familiar with JIRA & Confluence.- Must have exposure to technologies such as dbt, Apache airflow and Snowflake.Desire to continually keep up with advancements in data engineering practices. Knowledge on AWS cloud, Python is a plus.YOU BRING (EXPERIENCE & QUALIFICATIONS) :Essential Education :- Bachelor's degree or equivalent combination of education and experience. Bachelor's degree in information science, data management, computer science or related field preferred.Essential Experience & Job Requirements :- 5+ years of IT experience with major focus on data warehouse/database related projects - Must have exposure to technologies such as dbt, Apache Airflow, Snowflake. - Experience in data platforms: Snowflake, Oracle, SQL Server, MDM etc.- Expertise in writing SQL and database objects - Stored procedures, functions, views. Hands on experience in ETL/ELT and data security, SQL performance optimization and job orchestration tools and technologies e.g., dbt, Attunity, Golden Gate, APIs, Apache Airflow, etc. - Experience in data modeling and relational database design Well-versed in applying SCD, CDC, and DQ/DV framework.- Demonstrate ability to write new code i.e., well-documented and stored in a version control system (we use GitHub & Bitbucket).- Good to have experience with Cloud Platforms such as AWS, Azure, GCP and Snowflake.- Good to have strong programming/scripting skills (Python, PowerShell, etc.) Good to know about developing financial models and forecasting to support financial planning and decision-making processes.- Experience around responsibility for analyzing and interpreting financial data to provide valuable insights and support strategic decision-making.- Experience working with agile methodologies (Scrum, Kanban) and Meta Scrum with cross-functional teams (Product Owners, Scrum Master, Architects, and data SMEs).- Excellent written, oral communication and presentation skills to present architecture, features, and solution recommendations (ref:hirist.tech)
Education/experience:
2 To 5 Years
Company:
Reliable Group
Posted:
May 8 on hirist
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More About this Listing: Data Engineer - ETL/Data Warehousing (5-15 yrs) Any Location (Analytics & Data
Data Engineer - ETL/Data Warehousing (5-15 yrs) Any Location (Analytics & Data is a Engineering Engineer Job at Reliable Group located in India. Find other listings like Data Engineer - ETL/Data Warehousing (5-15 yrs) Any Location (Analytics & Data by searching Oodle for Engineering Engineer Jobs.