key responsibilities:
• design and build scalable, reliable, and efficient data pipelines using python, sql, aws, and linux.
• develop and maintain data warehouses and other data-related infrastructure.
• collaborate with data scientists, analysts, and other stakeholders to ensure that data engineering solutions meet business requirements.
• mentor and train team members to ensure high-quality deliverables.
• continuously drive innovation and best practices in data engineering.
• collaborate with cross-functional teams to identify and resolve data-related issues.
• perform code reviews and ensure code quality.
• provide technical guidance and leadership to the team.
qualifications:
• bachelor's or master's degree in computer science or related field.
• 3-5 years of experience in data engineering, with a focus on designing and building scalable, reliable, and efficient data pipelines.
• strong expertise in python and sql.
• experience with aws services such as s3, redshift, glue, and emr.
• strong linux skills.
• experience with distributed systems and big data technologies such as hadoop, spark, and kafka.
• experience leading and mentoring a team of data engineers.
• excellent communication and interpersonal skills.
• ability to work in a fast-paced environment and manage multiple priorities.
• strong problem-solving skills and attention to detail.
• solid understanding of programming sql objects (procedures, triggers, views, functions) in sql server. experience optimizing sql queries a plus.
• working knowledge of azure architecture, data lake
• advanced understanding of t-sql, indexes, stored procedures, triggers, functions, views, etc.
• must be detail-oriented. must work under limited supervision. must demonstrate good analytical skills as it relates to data identification and mapping and excellent oral communication skills.
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Experience
2 - 5 Years
No. of Openings
18
Education
B.C.A, B.E, Advanced/Higher Diploma, M.C.A, M.Tech
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