Cloud Data Engineer

Acldigital; Bengaluru; On-site; INR 800,000 - 1,200,000; Full time

Job summary

Acldigital in Bengaluru, India is seeking a candidate with strong experience in ETL/ELT frameworks and proficiency in Python and SQL. Candidates should have knowledge of relational databases and data warehouses, along with AWS/Azure experience and strong analytical skills.

The role requires good communication, problem-solving abilities, and experience in Agile or Scrum environments. This position fosters independent work within a vendor-managed delivery model.

Qualifications

• Strong experience with ETL/ELT frameworks.
• Hands-on experience with Python / SQL (mandatory).
• Experience with Spark / PySpark or equivalent distributed processing frameworks.
• Strong knowledge of relational databases such as PostgreSQL, Oracle, MySQL, and SQL Server.
• Experience with data warehouses like Redshift, Snowflake, BigQuery, or Synapse.
• Exposure to NoSQL databases is a plus.
• Experience working on AWS / Azure / GCP, preferably AWS or Azure.
• Familiarity with cloud storage like S3, ADLS, and GCS.
• Understanding of data security, encryption, and access controls.
• Git/GitHub experience and exposure to CI/CD pipelines for data workflows.
• Familiarity with workflow orchestration tools like Airflow, Step Functions, or Azure Data Factory.
• 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.

Skills

ETL/ELT frameworks

Python / SQL

Spark / PySpark

relational databases

data warehouses

AWS / Azure / GCP

cloud storage

data security

Git/GitHub

CI/CD pipelines

workflow orchestration tools

analytical skills

communication

Agile/Scrum

Job description

Qualifications

• 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
• 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