drjobs Sr Data Engineer - Hyderabad

Sr Data Engineer - Hyderabad

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1 Vacancy
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Job Location drjobs

Hyderabad - India

Monthly Salary drjobs

INR INR 1500000 - 2500000

Vacancy

1 Vacancy

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 highquality 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:
  • 47 years of experience in data engineering with a strong focus on ETL processes and data warehousing.
  • Handson experience with ETL tools and frameworks as well as Python and PySpark for data processing.
  • Experience with cloudbased 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 problemsolving skills.
  • Excellent communication and teamwork abilities.
  • Ability to work in a fastpaced 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.

machine learning pipelines,etl processes,aws,redshift,pyspark,snowflake,cloud,data warehousing,data,sql,apache airflow,etl,data bricks,rdbms platforms,big data technologies,cloud infrastructure,devops practices,aws glue

Employment Type

Full Time

Company Industry

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