BCF - your trusted software engineering partner

Data Engineer

Bright Coders' Factory — our name speaks for us, as our software sits in the hearts of global companies. We provide customers with state-of-the-art technologies. Our potential still grows, which is proven by the Forbes Diamond and Great Place to Work Awards.

We're writing code to make people's lives easier. In BCF, you will find your place and see that your work matters. Our portfolio includes projects from more than 15 industries - so depending on your preferences and stage of career, we're definitely going to find the right one for you.

About position

We are seeking an experienced and highly skilled Senior Data Analyst to join our dynamic team. As a Senior Data Analyst, you will be responsible for interpreting complex datasets, extracting valuable insights, and providing strategic recommendations to drive data-informed decision-making across the organization. You will collaborate closely with cross-functional teams and stakeholders to understand business objectives, design analytical frameworks, and deliver actionable insights that directly impact business performance. The ideal candidate will possess a strong analytical mindset, excellent problem-solving skills, and a proven track record of leveraging data to drive organizational success.

Requirements

Mandate to have experience with BI tools and systems. Power BI expertise is a must, others like Tableau, and SAP are not required, but an advantage.
Must have 2-3 years of experience in data-specific roles.
Knowledge of Microsoft BI Stack
Grip over data analytics
Should possess software development skills
Power BI Report development.
Building Analysis Services reporting models.
Developing visual reports, KPI scorecards, and dashboards using Power BI desktop.
Connecting data sources, importing data, and transforming data for Business intelligence.
Analytical thinking for translating data into informative reports and visuals.
Capable of implementing row-level security on data along with an understanding of application security layer models in Power BI.
Should have an edge over making DAX queries in Power BI desktop.
Expert in using advanced-level calculations on the data set.
Responsible for design methodology and project documentaries.
Should be able to develop tabular and multidimensional models that are compatible with data warehouse standards.
Very good communication skills must be able to discuss the requirements effectively with the client teams, and with internal teams.

Your responsibilities

Design, build, and maintain scalable and efficient data pipelines and ETL (Extract, Transform, Load) processes
Develop and implement data integration solutions to consolidate data from various sources into a unified format
Optimize data infrastructure, including data storage, processing, and retrieval systems, for improved performance and scalability
Collaborate with data scientists and analysts to understand data requirements and implement data models and structures to support their needs
Perform data cleansing, transformation, and validation to ensure data accuracy, consistency, and quality
Implement data governance practices and ensure compliance with data privacy and security regulations
Monitor and troubleshoot data pipelines and data processing systems to identify and resolve issues or bottlenecks
Develop and maintain data warehouses, data lakes, and other data storage solutions
Implement data versioning and data lineage tracking for effective data governance and auditing
Collaborate with cross-functional teams to define and implement data architecture standards and best practices
Research and evaluate new technologies and tools for data engineering and recommend their adoption when appropriate
Document data engineering processes, procedures, and technical specifications
Stay up-to-date with industry trends and advancements in data engineering and related technologies
Collaborate with database administrators and infrastructure teams to ensure smooth operation and availability of data systems
Provide support and guidance to data scientists, analysts, and other stakeholders in accessing and utilizing data efficiently.
Collaborate with business stakeholders to understand their data needs and develop solutions that address their requirements
Train and mentor junior data engineers and provide technical leadership in data engineering projects