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Associate Technical Lead | Data Engineer

Exclusive opportunity

Hybrid

Associate Technical Lead | Data Engineer

TO THE NEW

Associate Technical Lead | Data Engineer

Skills

SQL QueriesBig DataMongoDBData EngineeringPythonJavaCassandraKafkaSnowflakeNeo4jDatabricksMachine LearningScalaApache AirflowHadoop

2 months ago

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Important information


Contract type:

Permanent

Location:

Noida, Uttar Pradesh, India

Work mode:

Hybrid

Published on:

13 August 2026

What they need


Role & responsibilities:

  • Review and understand business requirements ensuring that development tasks are completed within the timeline provided and that issues are fully tested with minimal defects
  • Partner with a software development team to implement best practices and optimize the performance of Data applications to ensure that client needs are met at all times
  • Collaborate across the company and interact with our customers to understand, translate, define, design their business challenges and concerns into innovative solutions
  • Research on new Big Data technologies, assessing maturity and alignment of technology to business and technology strategy
  • Work in a rapid and agile development process to enable increased speed to market while maintaining appropriate controls

Preferred candidate profile:

  • BE/B.Tech/MCA with At least 6+ years of experience in design and development using Data Engineering technology stack and programming languages
  • Mandatory experience in following areas:
  1. Python/Scala/Java
  2. Hadoop, HDFS, MR
  3. Spark SQL, Dataframes, RDDs
  4. SQL
  5. Hive / Snowflake/SQL Server/Databricks
  6. Elastic Search
  • Preferred experience in 3 or more of the following areas:
  1. Spark Streaming, Spark ML
  2. Kafka/Flume
  3. Apache NiFi
  4. Apache Airflow/Oozie
  5. Cloud-based Data Platforms
  6. NoSQL Databases HBase/Cassandra/Neo4j/MongoDB
  • Good knowledge of the current technology landscape and ability to visualize industry trends
  • Working knowledge of Big Data Integration with Third-party or in-house built Metadata Management, Data Quality, and Master Data Management solutions
  • Active community involvement through articles,blogs or speaking engagements at conferences

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