ACL Digital | Data Engineer | india
2 days ago
Technical skills and core competencies
- Hands-on experience on Spark / PySpark is a must.
- Expertise with SQL is a must. An ability to understand and manipulate intermediate to complex level of SQL queries for Data warehouse, optimize queries is required.
- Hands-on experience in Data modelling is required.
- Hands-on experience in Lakehouse / Iceberg / Parquet required.
- Understanding of data manipulation libraries in python like Pandas, Polars, DuckDB is desired
- Hands-on experience in python is a must. Able to develop backend services using various python frameworks that expose REST APIs and integrate with SaaS services
- Hands on experience working with docker , building custom images for data pipelines is a must.
- Must have knowledge on AWS Cloud Platform . Managed Data services such as Kinesis, S3, EMR, AWS Glue
- Good hands-on on Linux OR any other similar distributions, viz. Ubuntu, CentOS, RHEL/RedHat, etc.
- Experience with building streaming and batch pipelines
- Experience in creating, and optimizing, data models suited for data analysts used in BI tools such as Tableau.
- Experience with DBT or Dataform is desirable.
- Experience with Kubernetes is good to have.
Responsibilities
- Participate in the design and help drive the implementation of our data platform based on AWS Cloud.
- Design, implement, and operate streaming and batch pipelines that scale.
- Handle developing services, connecting dots by writing scripts in Python using various libraries and python frameworks.
- Partner with both engineers and data analysts to build reliable datasets that can be trusted, understood, and used by the rest of the company.
- Familiarity with data orchestration (Apache Airflow, Dagster, Prefect or any current orchestration tool)
- Embrace a fast-paced start-up environment.
- You should be passionate about your job and enjoy a fast-paced international working environment.
- Background or experience in the telecom industry is a plus but not a requirement.
- Love automating and enjoy monitoring
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