AWS Lead Data Engineer Evoke HR Solutions Pvt. Ltd.

12 - 16 years

35 - 37 Lacs

Pune

Work from Office

As AWS Data Engineer at organization, you will play a crucial role in the design, development, and maintenance of our data infrastructure. Your work will empower data-driven decision-making and contribute to the success of our data-driven initiatives You will design and maintain scalable data pipelines using AWS data analytical resources, enabling efficient data processing and analytics. Key Responsibilities: - Highly experiences in developing ETL pipelines using AWS Glue and EMR with PySpark/Scala. - Utilize AWS services (S3, Glue, Lambda, EMR, Step Functions) for data solutions. - Design scalable data models for analytics and reporting. - Implement data validation, quality, and governance practices. - Optimize Spark jobs for cost and performance efficiency. - Automate ETL workflows with AWS Step Functions and Lambda. - Collaborate with data scientists and analysts on data needs. - Maintain documentation for data architecture and pipelines. - Experience with Open source bigdata file formats such as Iceberg or delta or Hundi - Desirable to have experience in terraforming AWS data analytical resources. Must-Have Skills: - AWS (S3, Glue, EMR Lambda, EMR), PySpark or Scala, SQL, ETL development. Good-to-Have Skills: - Snowflake, Cloudera Hadoop (HDFS, Hive, Impala), Iceberg

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AWS Lead Data Engineer Evoke HR Solutions Pvt. Ltd.

12 - 16 years

35 - 37 Lacs

Ahmedabad

Work from Office

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AWS Lead Data Engineer Evoke HR Solutions Pvt. Ltd.

12 - 16 years

35 - 37 Lacs

Surat

Work from Office

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Data Engineer Sr Associate Technogen

5 - 8 years

22 - 25 Lacs

Hyderabad

Hybrid

Role & responsibilities Bachelors degree in computer science, engineering, or a related field. Master’s degree preferred. Data: 5+ years of experience with data analytics and data warehousing. Sound knowledge of data warehousing concepts. SQL: 5+ years of hands-on experience on SQL and query optimization for data pipelines. ELT/ETL: 5+ years of experience in Informatica/ 3+ years of experience in IICS/IDMC Migration Experience: Experience Informatica on prem to IICS/IDMC migration Cloud: 5+ years’ experience working in AWS cloud environment Python: 5+ years of hands-on experience of development with Python Workflow: 4+ years of experience in orchestration and scheduling tools (e.g. Apache Airflow) Advanced Data Processing: Experience using data processing technologies such as Apache Spark or Kafka Troubleshooting: Experience with troubleshooting and root cause analysis to determine and remediate potential issues Communication: Excellent communication, problem-solving and organizational and analytical skills Able to work independently and to provide leadership to small teams of developers. Reporting: Experience with data reporting (e.g. MicroStrategy, Tableau, Looker) and data cataloging tools (e.g. Alation) Experience in Design and Implementation of ETL solutions with effective design and optimized performance, ETL Development with industry standard recommendations for jobs recovery, fail over, logging, alerting mechanisms. Preferred candidate profile

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