hiring For Data engineer_ Immediate Joiner_ Bangalore

Job Description

Primary Responsibilities:

• Design, build and maintain scalable and reliable data pipelines to process large volumes of structures, semi-structured and un-
  structured data from diverse sources.
  
• Develop ETL processes to ingest, transform and load data into data warehouse, ensuring data quality, integrity and consistency.
  • Collaborate with business stakeholders, report developers and data scientists to understand data requirements and translate
  then into technical solutions for various business purposes.
  • Optimize performance and efficiency of data infrastructure and processes, including data storage, processing and querying.
  • Implement data governance policies and best practice to ensure compliance, security and privacy of sensitive data.
  • Troubleshoot data issues, identify root cause and implement solutions in timely manner.
  • Excellent communication and collaboration skills, with the ability to work effectively in a cross-functional team
  environment.

Basic Qualifications
We are looking for candidate with 4+ years of experience in a Data Engineer role and has attained bachelors degree in technology

and has experienced with Agile/Scrum development process and methodologies.
• Experience as a Data Engineer with strong track record of designing and implementing data solutions.
• Experience in programming language as Python or Java, with experience in building data pipelines and workflows.
• Experience with cloud data warehousing technologies, such as Snowflake and Redshift.
• Experience with distributed computing frameworks such as Cloudera, Apache Hadoop and Spark.
• Experience with Cloud platforms such as AWS, Azure or Google Cloud Platform.
• Experience with AWS cloud services, such as S3, EC2, EMR, Glue, CloudWatch, Athena, Lambda.
• Experience with containerization and orchestration technologies, such as Docker and Kubernetes.
• Experience with building CI/CD pipeline using tools, such has GitLab and Bitbucket.
• Experience with data pipeline orchestration tools, such as Airflow and Jenkins.
• Knowledge of database concepts, data modelling, schemas and query languages, SQL and Hive.
• Knowledge of data visualization and reporting tools, such as MicroStrategy, Tableau and Power BI.
• Knowledge of data quality and monitoring techniques and tools, such as Great Expectations or similar.
• Knowledge of data governance processes, lineage, cataloging, dictionaries using tools, such as DataHub or similar.
• Knowledge of streaming data processing and real-time analytics technologies, such as Kafka.
• Retail experience is a plus.Role & responsibilities

if you are interested please share your updated profile to [email removed]