Data Engineers with career break-Woman Applicants only

1 week ago


Noida, Uttar Pradesh, India Her second innings Full time ₹ 12,00,000 - ₹ 36,00,000 per year
Job Title: Data Engineering
Location : Noida, Gurgaon, Pune, Mumbai, Hyderabad, Bangalore Experience : SA L2 - 5+/Manager - 8+ **12 months recent career gap mandatory** ONLY WOMAN CANDIDATES APPLY
Your role is focused on Design, Development and delivery of solutions  involving:  Data Ingestion, Integration and Transformation  Data Storage and Computation Frameworks, Performance  Optimizations  Analytics & Visualzations  Infrastructure & Cloud Computing  Data Management Platforms  Build functionality for data ingestion from multiple heterogeneous  sources in batch & real-time  Build functionality for data analytics, search and aggregation Experience Guidelines: Mandatory Experience and Competencies:  # Competency 1. Overall relevant years of IT experience with relevant years in Data related technologies according to the positions 2. 5+ years of experience in Big Data technologies 3. Hands-on experience with the Hadoop stack – HDFS, sqoop, kafka, Pulsar, NiFi, Spark,  Spark Streaming, Flink, Storm, hive, oozie, airflow and other components required in  building end to end data pipeline. Working knowledge on real-time data pipelines is added  advantage.  4. Strong experience in at least of the programming language Java, Scala, Python. Java  preferable 5. Hands-on working knowledge of NoSQL and MPP data platforms like Hbase, MongoDb,  Cassandra, AWS Redshift, Azure SQLDW, GCP BigQuery etc Preferred Experience and Knowledge (Good to Have): # Competency 1. Good knowledge of traditional ETL tools (Informatica, Talend, etc) and database technologies (Oracle, MySQL, SQL Server, Postgres) with hands on experience 2. Knowledge on data governance processes (security, lineage, catalog) and tools like  Collibra, Alation etc 3. Knowledge on distributed messaging frameworks like ActiveMQ / RabbiMQ / Solace,  search & indexing and Micro services architectures 4. Performance tuning and optimization of data pipelines 5. CI/CD – Infra provisioning on cloud, auto build & deployment pipelines, code quality  6. Working knowledge with data platform related services on at least 1 cloud platform, IAM  and data security 7. Cloud data specialty and other related Big data technology certifications
Personal Attributes:  Strong written and verbal communication skills  Articulation skills  Good team player  Self-starter who requires minimal oversight  Ability to prioritize and manage multiple tasks Process orientation and the ability to define and set up processes

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