Data engineer

These data engineer jobs can scale up your career.

Data engineers work in a variety of settings to build systems that manage, collect, and convert raw data into usable information for data scientists and business analysts to interpret. The demand for data engineer jobs has also been increasing day by day with a lot of data being generated day by day. The goal of a data engineer is to make data accessible so that organisations can use it to evaluate and optimise their performance. Let’s see the top data engineer jobs to apply for sure this weekend. 

AWS Data Engineer at Winfort 

Location: Hyderabad, Telangana

Skills required 

  • Strong understanding of AWS environment and experience in working with Hybrid models 
  • At least 1 year of project across 2 projects on using components such as Pyspark, Scala, EMR, Glue, Lambda, Kinesis, Kafka, Redshift, and Quicksight. 
  • Should have min 2 years of experience on Data Lake, Data warehouse projects 
  • Should have a good understanding of Data Modelling, Mapping and Lineage. 
  • Able to understand requirements, create code using proven best practises 
  • Should have good communication and client facing skills 
  • Open for PAN India 

Apply to these Data Engineer jobs here! 

Senior Big Data Engineer at Databricks 

Location: Bengaluru, Karnataka 

Qualifications required 

  • Hand-on experience in Apache SparkTM
  • At least 5 years of experience in Design and implementation of big data technologies such as Apache SparkTM, Apache Kafka, Handoop, NoSQL. 
  • Should have been a software engineer, data engineer, big data engineer for 5 years 
  • Should have experience in building and deploying a range of date engineering pipelines into production using automation. 
  • Experience with tuning, troubleshooting and debugging
  • Experience with cloud providers such as AWS, Azure or GCP. 
  • Travel would be 30-40% regionally. 

Apply to these Data Engineer jobs here! 

Data Engineer at Top Talent Technologies 

Location: Chennai, Tamil Nadu 

Responsibilities 

  • Create and maintain optimal data pipeline architecture 
  • Assemble large, complex data sets that meet both non-functional or functional business requirements 
  • Build the infrastructure required for transformation, optimal extraction, and loading of data from a wide variety of data sources using big data
  • Build analytics tools that utilise the data pipeline to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics
  • Work with stakeholders such as product, executive, and design teams 
  • Recommending changes in development, maintenance, and system standards 

Qualifications 

  • Should have Bachelors or Masters in relevant field with 1-3 years of experience 
  • Should have strong analytical skills 
  • Experience with big data tools such as Spark, Hadoop, and Kafka. 
  • Experience with relational SQL and NoSQL databases including Cassandra and Postgres 
  • Experience with programming languages such as Scala and Python 

Apply to these Data Engineer jobs here!

Data Engineer Big Data at Best Infosystems Ltd 

Location: Bengaluru, Karnataka 

Roles and responsibilities

  • Responsible for designing, organising, and developing complex data intensive ETL processes. 
  • Demonstrate expertise in Neo4J to build to store, analyse, and query highly connected data using native graphs storage
  • Develop solutions in Jupyter Lab and Apache Zeppelin with Python and PySpark
  • Responsible for graph scalability, high availability, graph clustering, graphs in the cloud, graphs on Spark, and integration support. 
  • Develop solutions in Jupyter Lab with Python and PySpark. 
  • Responsible for graph analysis algorithms with Cypher and common Neo4j APIs
  • Minimum 5+ years of experience in IT industry 
  • Hands on experience of ETL pipeline, Python, SQL, Hadoop, and data wrangling 
  • Solid experience in technologies covering areas like data integration, data ingestion, Cloud, real time streaming (Kafka), CDC, Impala NoSql database and data warehousing technologies
  • Proven interpersonal skills while contributing to team effort by accomplishing related results as needed 
  • Up-to-date technical knowledge by attending educational workshops, reviewing publications Preferred Education Master's Degree Experience :- 5 + year 

Apply to these Data Engineer jobs here! 

Data Engineer at GSK 

Location: Bengaluru, Karnataka 

Roles and responsibilities

  • Develop sleeves up development and delivery expected as a matter of course
  • Ensure goals are achieved on time in alignment with the stakeholders 
  • Work in close collaboration with other team members in the Enterprise Data & Analytics Platform team 
  • Take ownership for the delivery development project that helps in steer until completion 
  • Remain flexible towards technology approaches to ensure that the best advantage is taken of new technologies 
  • Ensure all risk and issues associated with projects are recorded and managed 
  • Should have 8-10years of experience as a developer in the data and analytics arena with demonstrated expertise in emerging technologies 
  • bility to work in close partnership with other IT functions such as IT security, compliance, infrastructure, etc. as well as partner closely with business stakeholders in the commercial and digital organisations.
  • Experience in executing Data Analytics projects in an Agile manner, articulation of Value depending on the project life cycle stage, Creating MVPs, developing plans for scale up are all very important experiences to be successful in this role.
  • Great communication skills and ability to communicate inherently complicated technical concepts to non-technical stakeholders.

Apply to these Data Engineer jobs here!