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Company Description
Cloudoniq Technologies Pvt Ltd is a global software development and technology services company specializing in FinOps, API management, cloud computing, mobile app development, robotic process automation, cybersecurity, and data analytics. Our mission is to deliver end-to-end digital transformation by providing cutting-edge solutions that enable businesses to scale, optimize, and secure their operations. We work with organizations across industries by leveraging innovative technologies to drive efficiency, support data-driven decision-making, and create resilient, future-ready solutions. Our expertise spans across AWS, Azure, and Google Cloud, ensuring seamless cloud migrations and secure operations. With a focus on delivering exceptional value, we empower clients to achieve their business goals in an ever-evolving digital landscape.
Role Description
This full-time, on-site Data Engineer role is based in Mumbai. The Data Engineer will be responsible for designing, building, and maintaining scalable data pipelines and systems to collect, process, and analyze large datasets. Duties include leveraging modern technologies to ensure data quality and integrity, collaborating with cross-functional teams to define data requirements, and implementing solutions for data storage and retrieval. The role also involves optimizing data infrastructure, ensuring security and compliance, and supporting data-driven decision-making processes within the organization.
Qualifications
Job ID: 147470647
Skills:
MySQL, Kafka, Redshift, Python, Sql, AWS, Airflow, dbt
Skills:
snowflake , Azure Data Factory, Sql, Python, Data quality frameworks, ETL ELT design patterns, Master Data Management
Skills:
Hadoop, Spark, Clustering, Python, Sql, Indexing, distributed concepts, machine-learned rankings
Skills:
T-sql, Etl Development, Sql Programming, Databricks, Python, source control ADO, Azure Purview, ADLS Gen2, Kimball dimensional modelling, Data warehouse modelling, data governance tools, MS Fabric, Data Vault 2.0, Azure Data products, deployment pipelines
Skills:
Pyspark, Databricks, Sql, Python, Azure Devops
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