Description

Required Technical Skills

Data Engineering & Processing

Strong experience with ETL/ELT frameworks

Hands?on experience with Python / SQL (mandatory)

Experience with Spark / PySpark or equivalent distributed processing frameworks

Databases & Storage

Strong knowledge of relational databases (PostgreSQL, Oracle, MySQL, SQL Server)

Experience with data warehouses (Redshift, Snowflake, BigQuery, Synapse)

Exposure to NoSQL databases is a plus

Cloud & Platforms

Experience working on AWS / Azure / GCP (AWS or Azure preferred)

Familiarity with cloud storage (S3, ADLS, GCS)

Understanding of data security, encryption, and access controls

DevOps & Tooling

Experience with Git/GitHub

Exposure to CI/CD pipelines for data workflows

Familiarity with workflow orchestration tools (Airflow, Step Functions, Azure Data Factory)

Non?Technical Skills

Strong analytical and problem?solving skills

Ability to work independently in a vendor?managed delivery model

Good communication and stakeholder collaboration skills

Experience working in Agile/Scrum environments

Good to Have

Experience in regulated or enterprise environments

Exposure to data governance, lineage, and metadata management

Knowledge of data quality frameworks and monitoring tools

Experience supporting production data platforms

Key Skills

Education

Any Gradute