responsibilities
design, build, and optimize complex etl/elt data pipelines using python, pyspark, scala, and advanced sql.
implement and manage etl processes using informatica powercenter, databricks, aws glue, and snowflake.
develop and deploy scalable data solutions across aws, azure, gcp, and microsoft fabric using cloud-native services.
manage and optimize databases including redshift, sql server, and aws rds.
orchestrate and monitor data workflows with apache airflow to ensure reliable and timely delivery.
implement streaming solutions with apache kafka and containerized services with kubernetes.
automate data workflows and system monitoring using unix shell scripting.
apply ci/cd practices to data pipelines and enforce data cleanroom principles for privacy-compliant collaboration.
collaborate with bi/reporting teams to deliver optimized datasets for tableau, looker, and powerbi.
troubleshoot and resolve performance issues in pipelines and database queries.
maintain detailed technical documentation and collaborate closely with cross-functional teams.
qualifications
bachelor��s or master��s degree in computer science, engineering, information technology, or related field.
experience: 5+ years for senior data engineer, 8+ years for lead data engineer.
languages: proficiency in sql, python (including pyspark), scala, and unix shell scripting.
etl tools: hands-on experience with informatica powercenter, databricks, and aws glue.
data warehousing: expertise in snowflake and redshift.
cloud platforms: strong exposure to at least two of aws, azure, gcp; familiarity with microsoft fabric.
databases: solid knowledge of redshift, sql server, and aws rds.
orchestration: proven experience with apache airflow.
streaming & containerization: practical experience with apache kafka and kubernetes.
concepts: working knowledge of ci/cd pipelines and data cleanroom practices.
reporting tools: understanding of data provisioning for tableau, looker, or powerbi.
strong problem-solving skills, communication ability, and a proactive approach to emerging technologies.
Experience
10 - 15 Years
No. of Openings
2
Education
B.A, B.C.A, B.B.A, B.Sc, B.E, B.Tech, Any Bachelor Degree
Role
Data Engineer
Industry Type
IT-Hardware & Networking / IT-Software / Software Services
Gender
[ Male / Female ]
Job Country
India
Type of Job
Full Time
Work Location Type
Work from Office