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Brighttier Inc

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1.0

based on 1 Review

11 Brighttier Inc Jobs

Cloud Data Engineer

Brighttier

1.0

based on 1 Review

12-15 years

Kolkata, Mumbai, New Delhi + 4 more

1 vacancy

Cloud Data Engineer

Brighttier Inc

posted 5mon ago

Job Role Insights

Key skills for the job

Computer Science SAP CO Python SQL Information Technology ERP Systems

+ 4 more

Job Description

Job Title: Cloud Engineer

Location: Remote

Job Type: Contract

Overview

Bright Tier Solutions is seeking a highly skilled Cloud Engineer with a strong background in cloud platforms like AWS, Azure, and GCP. The ideal candidate will be proficient in designing, implementing, and maintaining scalable ETL pipelines and data lakes using a variety of cloud-native tools. This role demands expertise in data platforms like Redshift, Snowflake, Databricks, and Synapse, with a focus on optimizing data ingestion and transformation processes. Familiarity with data extraction from SAP or ERP systems is a plus.

Key Responsibilities:

Design and Development:

- Design, develop, and maintain scalable ETL pipelines using cloud-native tools such as AWS DMS, AWS Glue, Kafka, Azure Data Factory, and GCP Dataflow.

- Architect and implement data lakes and data warehouses on platforms such as AWS, Azure, and GCP.

- Develop and optimize data ingestion, transformation, and loading processes using platforms like Databricks, Snowflake, Redshift, BigQuery, and Azure Synapse.

- Implement ETL processes with tools like Informatica, SAP Data Intelligence, and others.

Data Integration and Management:

- Integrate various data sources including relational databases, APIs, unstructured data, and ERP systems into the data lake.

- Ensure data quality and integrity through rigorous testing and validation.

- Perform data extraction from SAP or ERP systems when necessary.

Performance Optimization:

- Monitor and optimize the performance of data pipelines and ETL processes.

- Implement best practices for data governance, security, and compliance.

Collaboration:

- Collaborate with data scientists, analysts, and cross-functional teams to understand data requirements and design data solutions.

- Partner with stakeholders to deliver high-quality, efficient cloud data solutions aligned with business needs.

Documentation and Maintenance:

- Document all technical solutions, processes, and workflows.

- Maintain, troubleshoot, and optimize existing ETL pipelines and data integrations.

Required Qualifications:

- Education: Bachelors degree in Computer Science, Information Technology, or a related field (Advanced degrees are a plus).

- Experience:

- 7+ years of experience in a Data Engineer or Cloud Engineer role.

- Extensive experience with cloud platforms like AWS, Azure, and GCP.

- Hands-on experience with cloud-native ETL tools such as AWS DMS, AWS Glue, Kafka, Azure Data Factory, GCP Dataflow, etc.

- Proficiency in data platforms like Redshift, Snowflake, Databricks, BigQuery, and Azure Synapse.

- Experience with SAP or ERP systems data extraction is a plus.

- Strong experience with Spark and Scala for data processing.

Key Skills:

- Strong programming skills in Python, Java, or Scala.

- Proficient in SQL and query optimization techniques.

- Familiarity with data modeling, ETL/ELT processes, and data warehousing concepts.

- Knowledge of data governance, security, and compliance best practices.

- Excellent problem-solving, analytical, and communication skills.

Preferred Qualifications:

- Experience with additional data tools and technologies such as Apache Spark or Hadoop.

- Certifications in cloud platforms (e.g., AWS Certified Data Analytics - Specialty, Google Professional Data Engineer, Microsoft Certified: Azure Data Engineer Associate).

- Experience with CI/CD pipelines and DevOps practices for data engineering.

Employment Type: Full Time, Permanent

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