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Senior/Lead Data Engineer

5 - 10 years

7 - 12 Lacs

Posted:3 months ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

Job Area: Information Technology Group, Information Technology Group > IT Data Engineer General Summary: Job Overview Developer will play an integral role in the PTEIT Machine Learning Data Engineering team. Design, develop and support data pipelines in a hybrid cloud environment to enable advanced analytics. Design, develop and support CI/CD of data pipelines and micro-services. - 5+ years of experience with Python or equivalent programming using OOPS, Data Structures and Algorithms - Develop new services in AWS using server-less and container-based services. - 3+ years of hands-on experience with AWS Suite of services (EC2, IAM, S3, CDK, Glue, Athena, Lambda, RedShift, Snowflake, RDS, Apache Spark) or equivalent services from GCP, Azure - 3+ years of expertise in scheduling data flows using Apache Airflow - 3+ years of strong data modelling (Functional, Logical and Physical) and data architecture experience in Data Lake and/or Data Warehouse - 3+ years of experience with SQL and/or NoSQL databases - 3+ years of experience with CI/CD and DevOps using Jenkins - 3+ years of experience with Event driven architecture specially on Change Data Capture - Hands on Experience in Apache Spark, SQL, Redshift (or) Big Query (or) Snowflake, Databricks - Deep understanding building the efficient data pipelines with data observability, data quality, schema drift, alerting and monitoring. - Good understanding of the Data Catalogs, Data Governance, Compliance, Security, Data sharing - Experience in building the reusable services across the data processing systems. - Should have the ability to work and contribute beyond defined responsibilities - Excellent communication and inter-personal skills with deep problem-solving skills. Min. Qualifications 5 years of Industry experience and minimum 3 years experience in Data Engineering development with highly reputed organizations- Proficiency in Python and AWS- Excellent problem-solving skills- Deep understanding of data structures and algorithms- Expertise in full-stack development along with proven experience on building user interfaces using technologies like Angular / React JS and other necessary web technologies- Proven experience in building cloud native software preferably with AWS - Proven experience in design and develop data models using RDBMS (Oracle, MySQL, etc.) Preferred Qualifications Desirable - Exposure or experience in other cloud platforms (Azure and GCP) - Experience working on internals of large-scale distributed systems and databases such as Hadoop, Spark - Working experience on Data Lakehouse platforms (One House, Databricks Lakehouse) - Working experience on Data Lakehouse File Formats (Delta Lake, Iceberg, Hudi) - Working experience on Data Mesh Architecture. Minimum Qualifications: 4+ years of IT-related work experience with a Bachelor's degree in Computer Engineering, Computer Science, Information Systems or a related field. OR 6+ years of IT-related work experience without a Bachelor"™s degree. 2+ years of work experience with programming (e.g., Java, Python). 1+ year of work experience with SQL or NoSQL Databases. 1+ year of work experience with Data Structures and algorithms.

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Technology

San Diego

37,000 Employees

2383 Jobs

    Key People

  • Cristiano Amon

    President and Chief Executive Officer
  • Akash Palkhiwala

    Chief Financial Officer

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