Top Data Engineering Job Opportunities in Indian Companies to Apply

 Data engineeringThese data engineer jobs can scale up your career to heights

Data engineering is the aspect of data science that focuses on practical applications of data collection and analysis. A data engineer is the one who practices designing and building systems for collecting, storing, and analyzing data at scale. These days the demand for data engineering jobs has been on demand with increasing data being generated. Here are the top data engineering jobs in India to apply for now.

 

Data Engineer at Amazon 

 

Location: Hyderabad, Telangana 

 

Responsibilities: 

  • Design and build all the components of a high volume data warehouse end to end
  • Build efficient data models using industry best practices and metadata for ad hoc and pre-built reporting 
  • Interface with business customers, gathering requirements and delivering complete data & reporting solutions owning the design, maintenance, and development of ongoing metrics, reports, dashboards, analyses to drive key business decisions 
  • Provide input and recommendations on technical issues to BI engineers, data analysts, and data scientists

 

Qualifications: 

  • 3+ years of experience as a data engineer 
  • Experience with data modeling, data warehousing, and building ETL pipelines 
  • Experience in SQL
  • Must have a bachelors in computer science, engineering, statistics, mathematics or any related fields 
  • Should have strong ETL concepts and experience in building them with complex datasets using traditional or map reduce batch mechanisms. 
  • Experience designing and operating very large data warehouses 
  • Clear thinker with good problem-solving skills to prioritise and stay focused on big needle movers 
  • Good to have experience working on AWS stack 

Apply for these data engineering jobs here!

 

Data Engineer at Apple 

 

Location: Hyderabad, Telangana 

 

Qualifications: 

  • 5+ years of experience working in Big Data technologies 
  • Experience with crafting and building large scale data pipelines in distributed environments with technologies such as Spark, Kafka, Hive, and Hadoop. 
  • Experience with NoSQL datastores like Cassandra, Elasticsearch, HBase, MongoDB. 
  • Proven skills in designing, tuning & optimization scalable, highly available distributed systems which can handle high data volumes. 
  • Should have an hands-on-experience in Java
  • Good data modelling experience to address scale and read/write performance 
  • Experience with cloud computing platform like AWS or GCP is a plus 

Apply for these data engineering jobs here

 

Data Engineer at 5x 

 

Location: Anywhere 

 

Requirements: 

  • 2+ years of experience in similar role 
  • Should be proficient in SQL and Python 
  • Eager to learn the modern data stack such as Snowflake, DBT, Looker, and Fivetran 
  • Familiar with orchestration tools like Airflow 
  • Should be familiar with front-end event tracking and instrumentation tools like Heap & Segment 
  • Getting things done, knowing how to unlock yourself, communication, and engaging with customers proactively with minimal supervision. 
  • Familiar with data engineering concepts like ELT, streaming & rea;-time pipeline. 

Apply for these data engineering jobs here

 

Data Engineer at Tech Mahindra 

 

Location: Anywhere 

 

Responsibilities: 

  • Design, implement and operate large-scale, high-volume, high-performance data structures for analytics, reporting and data science. 
  • Implement data ingestion routines both real time and batch using best practices in data modeling, ETL/ELT processes by leveraging AWS technologies and big data tools 
  • Gather business and functional requirements and translate these requirements into robust, operable solutions, scalable, adaptable data architecture. 
  • Collaboration with data engineers to help adopt best practices in data systems creation, test design, validation, and documentation. 
  • Help continually improve ongoing reporting and analysis processes, automating or simplifying self-service modeling and production support for customers. 

 

Qualifications: 

  • Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related technical discipline.
  • 5+ years of experience as a Data Engineer or in a similar role.
  • Demonstrated experience in ETL/ELT, data modeling, data warehouse technical architecture, infrastructure components and reporting/analytic tools.
  • 5+ years of hands-on experience in writing complex, highly-optimized SQL queries across large data sets.
  • 3+ years of experience in scripting languages like Python etc.
  • Experience working with AWS big data technologies (Redshift, S3, EMR, Glue).
  • Experience coding and automating processes.
  • Proven success in communicating with users, other technical teams, and senior management to collect requirements, describe data modeling decisions and data engineering strategy.

Apply for these data engineering jobs here!

 

Data Engineer at NatWest Group 

 

Location: Gurugram, Haryana 

 

Responsibilities:

  • Loading data into data platforms
  • Building automated data engineering pipelines
  • Delivering streaming data ingestion and transformation solutions
  • Participating in the data engineering community to deliver opportunities to support the bank’s strategic direction
  • Developing a clear understanding of data platform cost levers to build cost effective and strategic solutions
  • Experience of ETL technical design, automated data quality testing, QA and documentation, data warehousing, data modelling and data wrangling
  • A background of using Oracle, Snowflake or Informatica
  • Extensive experience using RDMS, ETL pipelines, Python, Hadoop, SQL and data wrangling
  • Good knowledge of modern code development practices
  • Good critical thinking and proven problem solving abilities

Apply for these data engineering jobs here!