Data engineer jobs are very popular in India as well as in Gurugram. In this digital world, the demand for a data engineer is very high, and it is a rapidly growing career. Data engineers collect, manage, and convert raw data into usable information for data scientists and business analysts to analyze them. In this article, we have created a list of companies hiring data engineer jobs in Gurugram and provided the average salary and experience wise salary of data engineers.
Companies Hiring Data Engineer
USEReady
Requirements:
- Demonstrated experience with MS SQL Server, Azure Data Factory, top-notch programming skills – SQL, Python
- Hands on knowledge of Azure Dev Ops is preferred
- Working experience with Azure/SQL Database
- Expert in working with multiple data source types such as JD Edwards
- Azure certifications is a plus
Apply here: Careers
Trajector
Requirements:
- Bachelor’s degree in Computer Science, Computer Engineering, or any relevant technical fields, (or any equivalent practical experiences)
- Writing experience of complex SQL statements
- Experience with Python or any server-side programming languages
- Hands on experience with ERD diagrams and dimensional models
- Knowledge of understanding of data warehousing
- Preferred Qualifications: Snowflake, Redshift, Vertica, etc
- Working experience with modern pipeline orchestration engines such as Airflow, Luigi, and Prefect
- Experience with modern BI tools such as Tableau, Apache Superset, Looker, etc is preferred
- Expert in Linux command line
- Knowledge with AWS services and tools
Apply here: Careers
Treyas Infotech and Consulting Pvt Ltd
Requirements:
- At least 8 years of IT experience, minimum 3+ years in Data related technologies, and experience of 1+ years in data-related GCP Cloud services and delivered at least 1 project as an architect
- Mandatory knowledge of Big Data Architecture Patterns and the delivery of end-to-end Big Data solutions on GCP Cloud
- Expert in programming languages such as Java/ Scala and strong at Python
- Good at least one distributed data processing framework including Spark (Core, Streaming, SQL), Storm or Flank
- Good at Hadoop eco-system with GCP cloud distribution and knowledge at least on one or more big data ingestion tools (such as Sqoop, Flume, NiFI, etc), distributed messaging and ingestion frameworks ( such as Kafka, Pulsar, Pub/Sub, etc.) and solid knowledge on traditional tools like Informatica, Talend, etc.
- Solid knowledge of NoSQL solutions such as Mongo DB, Cassandra, HBase, etc, or Cloud-based NoSQL offerings like DynamoDB, Big Table, etc
- Expert in development with CI / CD pipelines. Knowledge of understanding of containerization, orchestration, and Kubernetes engine would be a plus
- Certification on GCP cloud platform or big data technologies is preferred
- Outstanding analytical and problem-solving skills
- Solid understanding of data technologies landscape/ecosystem
Apply here: Careers
TEKsystems
Requirements:
- Solid knowledge of Python
- Spark framework and streaming knowledge is required
- Knowledge of Machine Learning Lifecycle is mandatory
Apply here: Careers
Recur Club
Requirements:
- Overall 2-4 years working experience as a Data Engineer, with a solid record of designing and implementing complex data solutions
- Expert in data warehousing concepts, ETL processes, and data modeling
- Expertise in programming skills in languages such as Python, Java, or Scala
- Experience with Big Data technologies including Hadoop, Spark, or Hive
- Expertise in relational databases (such as MySQL, PostgreSQL) and NoSQL databases (such as MongoDB, Cassandra)
- Knowledge of cloud platforms (including AWS, Azure, GCP) and related services (including, AWS Glue, Azure Data Factory)
- Outstanding problem-solving skills and solid attention to detail
- Expertise in communication and collaboration skills
Apply here: Careers
EDGE Executive Search
Requirements:
- Knowledge of PySpark, Python, and ETL processes
- Hands on experience with Java programming, such as multithreading, concurrency, and object-oriented design principles is a plus
- Hands on experience with frameworks for data processing and ETL workflows
- Proven experience with RDBMS and solid experience with performance tuning
- Good software design skills
- Strong experience implementing automated unit testing
- Solid experience of AWS cloud (including Glue, Lambda, S3)
- Knowledge of Agile working practices
- Expert in Git, Gitlab, CI/CD pipelines
Apply here: Careers
Cars24
Requirements:
- Knowledge of optimising code and writing modular data pipelines for custom data integration jobs.
- Understanding of version control, proficiency in Python,
- Understanding of snowflake is plus, ability to use snowflake as an advanced user will be considered plus.
- Knowledge of Google sheets, linux and orchestration tools like Airflow etc
- Experience with GCS, S3 and other cloud technologies skills
- Knowledge of custom data integration pipelines that work at scale reliably
- Knowledge of Query/code profiling for efficiency and bugs
Apply here: Careers
E I DuPont India Pvt Ltd
Requirements:
- Expert in English language ( both written and oral)
- Bachelor’s Degree in math, science, engineering, IT or any related fields
- Solid knowledge of data concepts and tools
- Fluency in communication skills
- Working with remote colleagues spread across the world
- Expert in SQL and Python
- Experience with cloud computing, mostly in Azure (incl. ADF and ADLS)
- Experience with distributed systems (including Apache Spark or Data bricks)
- Experience with version control like Git
- Delta lake and Lakehouse architecture, Pandas and PySpark, Exposure to DevOps workflows, Power BI, and ML pipelines (e.g. scikit-learn) skilled candidates will get preference
Apply here: Careers
Publicis Sapient
Requirements:
- Bachelor’s/ Master’s degree in Computer science or in Engineering is preferred
- Good experience in designing and architecting large scale distributed data management & analytics applications
Apply here: Careers
Jio Platforms Limited
Requirements:
- Bachelor’s or master’s degree in computer science, Engineering, or any related areas
- Minimum 5+ years working experience in data engineering roles with a focus on building data pipelines and data infrastructure
- Hands-on experience with Kafka, Hadoop, Hive, PySpark, and Cloudera
- Expert in Python programming language for data manipulation, scripting, and automation
- Good understanding of knowledge of distributed systems, data modelling, and database concepts
- working experience with on-premises data infrastructure and cloud platforms (such as AWS, Azure, GCP)
- Hands on experience – Spark streaming, Flink.
- Hands-on experience on coding of these– Java/Scala/Python
- Good experience on Linux/Scripting
- Knowledge of understanding of Data Modelling
- Outstanding problem-solving skills and ability to troubleshoot complex data issues
- Strong communication and collaboration skills with the ability to work effectively in cross-functional teams.
- Proven track record of delivering high-quality solutions on time and within budget.
Apply here: Careers
Oliver Wyman
Requirements:
- At least 3+ years experience in data engineering, 1+ years of on implementing cloud architectures on AWS or Azure
- In-depth experience designing, productionizing, maintaining, and documenting reliable and scalable data infrastructure and data products in complex environments across all data lifecycle stages
- Demonstrated experience in one or more object-oriented programming languages and advanced knowledge of PySpark and Spark SQL
- Knowledge in designing and implementing large-scale distributed systems
- Knowledge of integration and continuous delivery technology experience
- Knowledge of monitoring tools and their integration into other platforms – including AWS/Azure etc
- Ability to learn and pick up a new tool/ platform immediately
- Outstanding proven analytical and solid problem-solving skills
- Expert in written and verbal communication skills with a demonstrated ability to interact effectively with all levels of management
Apply here: Careers
Benovymed Healthcare Private Limited
Requirements:
- At least 3-6 Years experience working as Hard core Sr. Data Engineer / Data Engineer / Big Data Engineer with most relevant experience in above skill set in a Big Database Data Science driven software product development reputed startup worked on many multiple Projects independently.
- Strong Statistical analysis and modeling
- Knowledge of Database designing and Data architectures
- Experience in Hadoop-based technologies (such as MapReduce, Hive and Pig) and Big data Technologies such as Spark to forecast and recommend improvements based on how the data is consumed
- SQL-based technologies (such as PostgreSQL and MySQL)
- NoSQL technologies such as Cassandra and MongoDB)
- Data modeling tools (such as ERWin, Enterprise Architect and Visio)
- Knowledge of Python, C/C++ and Java
Apply here: Careers
Transorg Analytics
Requirements:
- At least 2 – 6 years experience in data engineering
- Knowledge of latest data engineering ecosystem platforms such as AWS, Azure, GCP, Cloudera and Data bricks
- Good knowledge of Python/Scala/Java
- Sound knowledge of SQL / NoSQL databases and data warehouse concepts
- Demonstrated experience of working on databases including Sql Servers, PostgreSql, Cloud infrastructure, etc.
- Good knowledge of data backup, recovery, security and integrity
- Strong knowledge on Spark, HDFS/HIVE/HBASE, Shell Scripting, and Spark Streaming
- Expert in communication skills
- Expert with data ingestion tools like Sqoop, flume, talend, and Kafka
Apply here: Careers
airindiali
Requirements:
- Bachelor’s degree in Computer Science, Engineering, Mathematics, or any related areas
- Minimum 6+ years of experience as a data engineer or in a similar field
- Expert in Python, SQL, and other programming languages for data engineering
- Experience with data pipeline tools and frameworks like Spark, Kafka, Airflow, etc
- Experience with cloud services and platforms including AWS, GCP, or Azure.
- Experience with data warehouse and data lake technologies including Redshift, BigQuery, Snowflake, etc
- Hands on experience with data modeling, data quality, and data governance concepts and practices
- Outstanding analytical and problem-solving skills
- Expert in communication and collaboration skills.
- Ability to work independently and in a team
Apply here: Careers
Planet Spark
Requirements:
- Skill Requirements; SQL, Ruby or Python, Apache-Hadoop based analytics, Data warehousing, Data architecture, Schema design, ML skills are required
- Previous experience at least 2 to 5 years as a Data Engineer
- Knowledge in managing and communicating data warehouse plans to internal teams
- Hands on experience designing, building, and maintaining data processing systems
- Understanding of root cause analysis on external and internal processes and data to identify opportunities for improvement and answer questions
- Outstanding analytic skills associated with working on unstructured datasets.
Apply here: Careers
Crescendo Global
Requirements:
- Bachelor’s degree in computer science, Information Technology, or any related areas
- At least 6+ years of experience in managing data engineering projects, with a solid track record of success
- Expert in SQL, data environments (including Big Query, Google Analytics, Snowflake), and data transformation tools (Python)
- Solid understanding of knowledge of ETL data pipelines, including integration with APIs and databases.
- Good experience with Google Analytics tools and cloud-based Data Warehousing solutions ( including Snowflake and/or Google Cloud).
- Knowledge of Cron job scheduler and Data Vault modeling is an advantage
- Knowledge in collaborating with client’s Google Analytics partner agencies.
- Expert in communication and interpersonal skills
Apply here: Careers
S&P Global
Requirements:
- Bachelor’s or Master’s degree in Computer Science, Engineering, or any related areas
- Overall 7+ years of working experience in data engineering with a proven track record of designing and
- implementing complex data solutions.
- Expert in programming languages including Python, Java, or Scala. Experience with SQL, ETL processes, and data warehousing concepts.
- Good expertise in big data technologies such as Kafka/OLAP, or similar frameworks.
- Experience with SQL and No-SQL databases skills
- Experience with cloud platforms (such as AWS, Azure, GCP) and understanding of containerization and orchestration tools (such as Docker, Kubernetes).
- Leadership and mentoring skills with the strong ability to lead a team, prioritize tasks, and drive
- projects to completion
- Outstanding problem-solving abilities, attention to detail, and a collaborative mindset
- Expert in communication skills with the ability to convey complex technical concepts to non-technical stakeholders
- Ability of Optimizing slow-running database queries and data pipelines
- Certifications in relevant technologies (AWS/Azure/GCP, etc.) is Preferred
- Experience with machine learning frameworks or data science concepts is preferred
Apply here: Careers
Sampoorna Consultants Private Limited
Requirements:
- Overall 5 – 10 Years of experience
- Excellent Communication skills
- Excellent Flexibility: able to work 24X7 in rotational shift
- Management Basics: Incident Management of work experience, Change Management ( in work experience), Problem Management Routing(OSPF/BGP) Switching (VLAN/Spanning tree) Cisco Wireless (AP and WLC) Nexus (7k/9k & Fex) Mandatory certification: CCNA
Apply here: Careers
Linkage IT Private Limited
Requirements:
- Bachelor’s degree in Computer Science, Engineering, or any related areas
- Working Experience as a Data Engineer or any similar roles
- Expert in SQL Server or Postgres, good experience in writing complex SQL queries and PL/SQL procedures.
- Knowledge of programming skills in Scala, with the ability to write efficient Spark jobs.
- Experience with Informatica ETL tools is an advantage
- Ability of understanding of database performance optimization techniques
- Knowledge with AWS technologies is a plus
- Outstanding problem-solving skills and strong attention to detail.
- Expert in communication and collaboration skills
Apply here: Careers
Impetus
Requirements:
- Overall 3.5-7 years of IT experience
- Extensive production experience of at least 2-3 Years in GCP, Other cloud experience would be a strong bonus
- Good knowledge in Data engineering at least 3-6 Years of experience in Big Data technologies such as Hadoop, NoSQL, Spark, Kafka etc.
- Knowledge of enterprise application development is a must.
Apply here: Careers
AbsolutData Research & Analytics (P) Ltd
Requirements:
- Experience with Azure Data Engineer
- Knowledge of Career Progress Consultants in Gurgaon and at least 4 – 8 Year of Experience on TimesJobs.com
Apply here: Careers
Xebia
Requirements:
- Very strong in SQL queries
- Very strong in Data bricks – ( including workflows etc. )
- Strong in Python
- Good at PySpark (comes with Data bricks).
- Knowledge of Data Pipeline optimization, ETL, process of optimizing the query
- Banking domain is a plus
Apply here: Careers
Eucloid Data Solutions
Requirements:
- Overall 1-2 years of working experience in Data Analysis
- Expert in SQL and good at Data visualization tools in Tableau
- Outstanding Problem-solving and conflict resolution ability
- Expert in communication, interpersonal skills
- Good understanding of the technology stack, dependencies between applications and how the data
- Excellent team player with the strong ability to influence and negotiate
Apply here: Careers
Deutsche Telekom Digital Labs
Requirements:
- At least 3-5 years of strong software/data engineering experience
- Experience in building large scalable and reliable enterprise technology platforms using Big Data open-source technologies including Java, Hadoop, Spark, Kafka
- Experience in one of the programming language java/scala/python.
- Experience in Data Storage and Good understanding of SQL & NoSQL Data bases. Mysql, Mongo.
- Knowledge with cloud solutions for data infrastructure. AWS is a plus
- Knowledge of data handling frameworks including Spark, Apache Beam, Apache flink etc
- Knowledge of data formats including Apache Parquet, Avro, ORC etc.
- Expert in distributed file system and computations concepts
Apply here: Careers
Job Portals
The following are the job portals where you can apply for the post of data engineer jobs in Gurugram:
Salary of Data Engineer
The average annual salary of a data engineer in Gurugram is 10 lakhs.
Experience Wise salary trend
|
Experience |
Salary |
|---|---|
|
Entry level (0 – 5 years) |
6.30 Lakhs |
|
Mid level ( 6 – 10 years) |
12.50 Lakhs |
|
High level ( 10 – 15 years) |
13.70 Lakhs |
|
Senior level ( 15+ years) |
22 lakhs |
Data Engineer Salary: Designation Wise
|
Designation |
Salary |
|---|---|
|
System Engineer |
4.40 L |
|
Project Engineer |
4 L |
|
Software Engineer |
5.50 L |
|
Associate Software Engineer |
4.5 L |
|
Software Development Engineer |
9 L |
|
Lead Engineer |
21 L |
Data Engineer Jobs in Gurugram – FAQs
Are data engineers in high demand?
Data engineers demand is too high in this digital world. The demand of data engineer is growing rapidly.
What is the salary of 1 year data engineer?
Data engineers can earn a healthy salary annually. The average salary of a data engineer is approx 10.30 lakhs which ranges from 3.5 lakhs to 22 lakhs.
Which field is best for data engineer?
A graduate student can start his/her career as a data engineer. The well known fields for data engineer are as follows:
- Data Science
- Software Engineering
- Math, or
- A business-related field.
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