Data Never Lies

Role Description This is a remote position. We are looking for a Junior/Middle Data Engineer with a strong focus on Python, SQL, and building data pipelines. The main responsibility of this role is connecting to various data sources, extracting data via REST APIs, databases, files, and third-party platforms, processing it, and loading it into a data warehouse for further analytics and BI reporting. We are looking for someone who understands that a data pipeline is not just a script, but a stable process with logging, error handling, retries, monitoring, and data quality checks. Location: Kazakhstan/Remote Qualifications - Strong knowledge of Python and practical experience using it in data engineering tasks. - Experience building data pipelines for loading, processing, and transforming data. - Experience working with various data sources: REST APIs, databases, CSV/Excel/JSON files, cloud storage, and third-party platforms. - Hands-on experience integrating with REST APIs: authentication, pagination, rate limits, retries, timeout handling, and error handling. - Understanding of how to build fault-tolerant pipelines. - Experience setting up incremental data loading and handling partial loads. - Ability to work with JSON and semi-structured data. - Strong SQL knowledge: JOINs, CTEs, aggregates, and window functions. - Experience loading data into databases or data warehouses such as PostgreSQL, BigQuery, Snowflake, Redshift, MS SQL, or similar systems. - Understanding of ETL/ELT approaches. - Experience with logging, monitoring, and basic troubleshooting of pipelines. - Experience working with Git. Requirements - Experience working with dbt: models, sources, tests, documentation, incremental models. - Experience with Spark / PySpark. - Experience using orchestration tools such as Airflow, Prefect, Dagster, or similar. - Experience implementing data quality checks: freshness, duplicates, completeness, consistency. - Experience working with cloud storage: AWS S3, Google Cloud Storage, Azure Blob Storage. - Experience with Docker. - Understanding of dimensional modelling principles: fact/dimension tables, star schema, data marts. - Experience optimizing SQL queries and pipelines. Benefits - A variety of projects: trust us, you won’t be bored. - A sane schedule: we focus on tasks, not hours—but showing up at noon every day isn’t exactly smiled upon. - A team that values expertise and humor: yes, we occasionally crack jokes about SQL—don’t worry if you don’t laugh right away. - Choose your adventure: Dive deep into a single, large-scale project or opt for a “discovery” mode, collaborating with multiple global clients across different domains. You can get hands-on with cutting-edge data stacks for anything from gaming and dating to skyscraper construction and nuclear energy. If variety is what you crave, you’ll find it here.

Role Description - You’re the Middle Analyst, so customers will come to you for SQL, Tableau, Power BI tips—and that’s perfectly normal. - Master the art of data extraction: - Sometimes from SQL databases, - Sometimes from dusty Excel files, - Sometimes from mild chaos (accept it as a given). - Build reports, dashboards, and other visualizations: - So that executives no longer tremble at the sight of graphs, but instead experience mild delight at their simplicity and clarity. - Communicate with team: - To explain why things might be going wrong, and then in whichever other language you prefer, how to fix them. - Automate routine tasks: - Because your valuable time shouldn’t be spent doing endless, repetitive grunt work. Qualifications - Experience with BI tools: Power BI or Tableau - Strong SQL proficiency (subselects, joins, the whole shebang). - Basic English Conversational: comfortable enough to discuss numbers and visualizations via Zoom with team (and maybe argue about the virtues of classic Earl Grey over green tea). Requirements - Experience with BI tools: Power BI or Tableau - Strong SQL proficiency (subselects, joins, the whole shebang). - Basic English Conversational: comfortable enough to discuss numbers and visualizations via Zoom with team (and maybe argue about the virtues of classic Earl Grey over green tea). Benefits - A variety of projects: trust us, you won’t be bored. - A sane schedule: we focus on tasks, not hours—but showing up at noon every day isn’t exactly smiled upon. - A team that values expertise and humor: yes, we occasionally crack jokes about SQL—don’t worry if you don’t laugh right away. - Choose your adventure: - Dive deep into a single, large-scale project or opt for a “discovery” mode, collaborating with multiple global clients across different domains. - You can get hands-on with cutting-edge data stacks for anything from gaming and dating to skyscraper construction and nuclear energy. - If variety is what you crave, you’ll find it here.