Data Engineer

3 weeks ago

Bangalore, Karnataka, India Acsa Technologies Private Limited Full time

Details JD :

- 5+ years working experience as a data or software engineer in a fast-paced growing company.

- Excellent SQL and Python knowledge strong hands-on data modeling and data warehousing skills and experience in transformations orchestrated through technologies such as dbt/cloud dataflow would be a plus.

- Strong experience applying software engineering best practices to analytics (e.g.version control, testing, and CI/CD)

- Power-user and expert in building scalable data warehouses and pipelines using some of Cloud tools such as Snowflake, AWS, Google Cloud, Cloud ETL tools such as Databricks (Spark/Azure)

- Solid experience with ETL/ELT processes, scheduling tools (e.g., Talend, Airflow) and API management tools

- Experienced with customer, marketing and/or web data (e.g., Salesforce, Google Analytics, AdWords, YouTube etc.)

- Good with data visualization tools and packages (e. g., Looker, Tableau, matplotlib)

- Strong attention to details to highlight and address data quality issues.

- Self- starter , motivated, responsible, innovative, and technology-driven individual who performs well both independently and as a team member.

- A proactive problem solver and have good communication as well as project management skills to relay your findings and solutions across technical and non-technical audiences.

- Bachelor's or master's degree in engineering, Math, Statistics, Finance, Economics, or a related field

- Passionate about gaming or gaming industry would be a great plus and conversation starter.

Key Responsibilities :

- Work closely with data users to understand business requirements.

- You will be actively involved with efforts in designing high-performance, reusable, and scalable data models for our data warehouse to ensure our end-users get consistent and reliable answers when running their own analyses.

- Write complex yet optimized data transformations in SQL/Python using dbt or similar technology.

- Continuously discover, transform, test, deploy and document data sources

- Apply advanced aggregations and data wrangling techniques such as imputation for predictive analytics.

- Work with wide range of tech stack at various levels such as Snowflake, dbt, Airflow, Fivetran, AWS, Spark, GCP Env:BigQuery, Cloud Composer, Cloud Dataflow etc. databrick python/Pyspark


- Snowflake database concepts

- SQL Exposure (Oracle, Mysql.)

- Cloud Exposure (AWS/Azure)

- Agile Methodology

(ref:hirist.tech)

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