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Blumetra

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3.5

based on 26 Reviews

22 Blumetra Jobs

Sr. Data Engineer - Hyderabad

BLUMETRA SOLUTIONS INDIA PRIVATE LIMITED

3.5

based on 26 Reviews

4-8 years

Hyderabad / Secunderabad

1 vacancy

Sr. Data Engineer - Hyderabad

Blumetra

posted 13hr ago

Job Role Insights

Flexible timing

Key skills for the job

Data Analytics Python SQL Oracle SAP Business Intelligence MySQL

+ 4 more

Job Description

We are seeking a talented and enthusiastic Data Engineers with 4+ years of experience to join our data engineering team. The ideal candidate will have a strong background in ETL processes, data warehousing, and big data technologies, and will play a key role in building and maintaining our data infrastructure to support analytics and business intelligence needs.

Designation - Lead Data Engineer/ Sr. Data Engineer

Work Location - Hyderabad

Experience - 4 - 8 years

Key Responsibilities:

ETL Development :
Design, develop, and maintain efficient ETL pipelines to process and transform large volumes of data from various sources.
Implement data transformation and cleansing processes to ensure high-quality data.
Data Warehouse Development :
Assist in building and optimizing scalable data warehouse solutions using Snowflake, Data bricks, Redshift, or similar technologies.
Ensure that data models are efficient, scalable, and support the needs of analytics teams.
Big Data Cloud Technologies :
Utilize AWS Glue and PySpark for processing and transforming large datasets in the cloud.
Implement data pipelines using Apache Airflow for scheduling and orchestration.
Database Management :
Manage and optimize relational databases (RDBMS) to support both transactional and analytical workloads.
Write efficient SQL queries to support data extraction, reporting, and analytics.
Collaboration :
Work closely with your lead and other stakeholders to understand data requirements and deliver reliable data solutions.
Contribute to the design and architecture of data systems, ensuring alignment with business needs and technical best practices.
Data Quality Governance :
Ensure data integrity, accuracy, and availability through rigorous testing, validation, and monitoring of ETL processes.
Support data governance initiatives by implementing best practices for data management and security.

Required Skills Qualifications:

Education : Bachelor s degree in Computer Science, Information Systems, Engineering, or a related field.
Experience :
4-7 years of experience in data engineering, with a strong focus on ETL processes and data warehousing.
Hands-on experience with ETL tools and frameworks, as well as Python and PySpark for data processing.
Experience with cloud-based data platforms such as AWS Glue, Snowflake, Databricks, or Redshift.
Proficiency in SQL and experience with RDBMS platforms (e.g., MySQL, PostgreSQL, Oracle).
Familiarity with data orchestration tools like Apache Airflow.
Technical Skills :
Strong understanding of data warehousing concepts and best practices.
Experience in building and optimizing data pipelines and workflows.
Knowledge of cloud infrastructure (AWS, Azure, GCP) and data processing technologies.
Soft Skills :
Strong analytical and problem-solving skills.
Excellent communication and teamwork abilities.
Ability to work in a fast-paced environment and manage multiple tasks simultaneously.

Preferred Qualifications:

Experience with machine learning pipelines and big data processing.
Familiarity with DevOps practices and continuous integration/continuous deployment (CI/CD) pipelines.
Certification in AWS or other relevant cloud platforms.

Employment Type: Full Time, Permanent

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