About Target 

Target Recruitment

Job Role: Data Engineer

Qualification: Bachelors / Masters Degree

Experience: 0 – 2 years

Batch: 2025 / 2024 / 2023 / 2022

Salary: up to ₹11-16 LPA

Job Location: Bangalore

Last Date: ASAP

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Role Overview:

• Assess client needs and convert business requirements into business intelligence (BI) solutions roadmap relating to complex issues involving long-term or multi-work streams.

• Analyze technical issues and questions identifying data needs and delivery mechanisms

• Implement data structures using best practices in data modeling, ETL/ELT processes, Spark, Scala, SQL, database, and OLAP technologies

• Manage overall development cycle, driving best practices and ensuring development of high quality code for common assets and framework components

• Develop test-driven solutions and provide technical guidance and heavily contribute to a team of high caliber Data Engineers by developing test-driven solutions and BI Applications that can be deployed quickly and in an automated fashion.

• Manage and execute against agile plans and set deadlines based on client, business, and technical requirements

• Drive resolution of technology roadblocks including code, infrastructure, build, deployment, and operations

• Ensure all code adheres to development & security standards

About you:

• 4 year degree or equivalent experience

• 1+ years of software development experience preferably in a data engineering/Hadoop development (Hive, Spark etc.)

• Hands on Experience in Object Oriented or functional programming such as Scala / Java / Python

• Knowledge or experience with a variety of database technologies (Postgres, Cassandra, SQL Server)

• Knowledge with design of data integration using API and streaming technologies (Kafka) as well as ETL and other data Integration patterns

• Experience with cloud platforms like Google Cloud, AWS, or Azure. Hands on Experience on BigQuery will be an added advantage

• Good understanding of distributed storage(HDFS, Google Cloud Storage, Amazon S3) and processing(Spark, Google Dataproc, Amazon EMR or Databricks)

• Experience with CI/CD toolchain (Drone, Jenkins, Vela, Kubernetes) a plus

• Familiarity with data warehousing concepts and technologies.

• Maintains technical knowledge within areas of expertise

• Constant learner and team player who enjoys solving tech challenges with global team.

• Hands on experience in building complex data pipelines and flow optimizations

• Be able to understand the data, draw insights and make recommendations and be able to identify any data quality issues upfront

• Experience with test-driven development and software test automation

• Follow best coding practices & engineering guidelines as prescribed

• Strong written and verbal communication skills with the ability to present complex technical information in a clear and concise manner to variety of audiences