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ACL Digital | Data Engineer
1 month ago
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