Data Engineer Jobs in Gurugram

Last Updated : 26 Apr, 2024

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