About Us:
Founded on the grounds of innovation – iXceed Solutions , is an ISO certified, leader in Talent and Digital recruitment solutions, serving fortune 100 companies globally. We have many global accolades to our credit – UK Enterprise Awards - HR Tech Startup of the year- Europe - 2022, UK IT Awards - Leading Talent & Digital Solutions of the Year 2022, Titan Awards- Entrepreneur of the Year -2023, Asia fastest growing HR tech companies in 2023, Iconic Brand of the Year in Staffing & Recruitment 2023, Top 4 The Most prominent Talent solutions firm to work with in 2024, Hottest HR Tech Startup by Business World, The Greatest Brands & Leaders Asia & GCC -2020 -2021 by AsiaOne and many more.
Website : www.ixceed-solutions.com
LinkedIn URL : https://www.linkedin.com/company/ixceed-solutions
Position: Jr. Data Engineer
LOCATION: Warsaw & Krakow (U.S. PST time zone overlap required – 3 hours)
JD: Data Engg [ IDCDS]
DATA ENGINEER RESPONSIBILITIES
- Excellent in advance SQL, ETL. Must understand relation and ER diagrams/normal forms. How to design, create, extend/iterate, manipulate, seed with realistic data/data exploration, create and optimize queries, operate at low scale and high scale.
- Experience in creation of data pipelines using Python. Python for data manipulation & transformation (python dictionaries, data frames, data stream, joins of all kinds, outside of SQL IDEs)
- Experience with Data Warehousing Architecture
- Research skills – go figure it out and come back with working model. Pros/cons analysis skills
- Good to have - End to end understanding of data center operations & applying optimizations/automations using data science Education – preferred MS/PHD candidates
- Partner with leadership, software engineers, product managers, program managers and data scientists to understand data needs.
- Act as a subject matter expert in a specific domain or class of data engineering challenges, leading by example and mentoring others.
- Influence short- and long-term strategy with cross-functional teams to drive impact.
- Design, build and launch extremely efficient and reliable data pipelines to move data across a number of platforms including Data Warehouse, online caches and real-time systems.
- Build data expertise and own data quality for allocated areas of ownership Architect, Build and Launch new data models that provide intuitive analytics Work with teams to establish data sources that serve teams' business needs.
- Identifying and advocating for process improvements and industry best practices.
- Work with a variety of inhouse products, applications and warehouses, transforming raw data into finished products to help drive, investigate, monitor, report and quantify the state of risk and compliance.
- Build strategic relationships with global and cross-functional teams to understand and anticipate risks to the company and deliver analytics for monitoring compliance and responding to regulations.
- Educate your partners: Use your data and analytics experience to ‘see what’s missing’, identifying and addressing gaps in their existing logging and processes.
MINIMUM QUALIFICATIONS
- Bachelor’s degree in computer science, Computer Engineering, relevant technical field, or equivalent practical experience.
- 6 months + years of Python development experience.
- 6 months +years of SQL experience.
- 6 months +years’ experience in engineering data pipelines using big data technologies (Hive, Presto, Spark, Flink etc.) on large scale datasets.
- 6 months +years’ experience with Schema Design and Data Modeling.
- Experience querying massive datasets using Spark, Presto, Hive, Impala, etc.
- 6 months +years of experience with workflow management engines (i.e. Airflow, Luigi, Prefect, Dagster, Digdag, Google Cloud Composer, AWS Step Functions, Azure Data Factory, UC4, Control-M).
- Experience working with cloud or on-prem Big Data/MPP analytics platform (i.e. Snowflake, AWS Redshift, Google BigQuery, Azure Data Warehouse, Netezza, Teradata, or similar).