Senior Data Developer

Adesso India is hiring via Keystone AI Senior Data Developer job (Remote only) | Cutshort

Senior Data Developer
Adesso India
Senior Data Developer

at Adesso India
Agency job
4
\- 15 yrs
₹8L - ₹25L / yr
Remote only
Skills
Python
SQL
MongoDB
bigquery
Java
Overview
Adesso India specialises in optimization of core business processes for organizations. Our focus is on providing state-of-the-art solutions that streamline operations and elevate productivity to new heights.
Comprised of a team of industry experts and experienced technology professionals, we ensure that our software development and implementations are reliable, robust, and seamlessly integrated with the latest technologies. By leveraging our extensive knowledge and skills, we empower businesses to achieve their objectives efficiently and effectively.
Job Description
We are looking for an experienced Backend and Data Developer with expertise in Java, SQL, BigQuery development working on public clouds, mainly GCP. As a Senior Data Developer, you will play a vital role in designing, building, and maintaining robust systems to support our data analytics. This position offers the opportunity to work on complex services, collaborating closely with cross-functional teams to drive successful project delivery.
Responsibilities:
Development and maintenance of data pipelines and automation scripts with Python.
Creation of data queries and optimization of database processes with SQL.
Use of bash scripts for system administration, automation and deployment processes.
Database and cloud technologies.
Managing, optimizing and querying large amounts of data in an Exasol database (prospectively Snowflake).
Google Cloud Platform (GCP): Operation and scaling of cloud-based BI solutions, in particular.
Composer (Airflow): Orchestration of data pipelines for ETL processes.
Cloud Functions: Development of serverless functions for data processing and automation.
Cloud Scheduler: Planning and automation of recurring cloud jobs.
Cloud Secret Manager: Secure storage and management of sensitive access data and API keys.
BigQuery: Processing, analyzing and querying large amounts of data in the cloud.
Cloud Storage: Storage and management of structured and unstructured data.
Cloud monitoring: monitoring the performance and stability of cloud-based applications.
Data visualization and reporting.
Creation of interactive dashboards and reports for the analysis and visualization of business data with Power BI.
Requirements:
Minimum of 4-6 years of experience in backend development, with strong expertise in BigQuery, Python and MongoDB or SQL.
Strong knowledge of database design, querying, and optimization with SQL and MongoDB and designing ETL and orchestration of data pipelines.
Expierience of minimum of 2 years with at least one hyperscaler, in best case GCP.
Combined with cloud storage technologies, cloud monitoring and cloud secret management
Excellent communication skills to effectively collaborate with team members and stakeholders.
Nice-to-Have:
Knowledge of agile methodologies and working in cross-functional, collaborative teams.
Skills & Requirements
SQL, BigQuery, GCP, Python, MongoDB, Exasol, Snowflake, Bash scripting, Airflow, Cloud Functions, Cloud Scheduler, Cloud Secret Manager, Cloud Storage, Cloud Monitoring, ETL, Data Pipelines, Power BI, Database Optimization, Cloud-Based BI Solutions, Data Processing, Data Automation, Agile Methodologies, Cross-Functional Collaboration.
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