- JD:· 5-6 years of hands on application development experience in one or more programming languages like Python, Pyspark etc. · 4-6 years of hands on experience in development and deployment of cloud native solutions leveraging AWS Services: Compute(EC2, Lambda), Storage (S3), Database (RDS, Aurora, Postgres, DynamoDB), Orchestration (Apache Airflow, Step Function, SNS), ETL/Analytics(Glue, EMR, Athena, Redshift), Infra (Cloud Formation, CodJD:· 5-6 years of hands on application development experience in one or more programming languages like Python, Pyspark etc. · 4-6 years of hands on experience in development and deployment of cloud native solutions leveraging AWS Services: Compute(EC2, Lambda), Storage (S3), Database (RDS, Aurora, Postgres, DynamoDB), Orchestration (Apache Airflow, Step Function, SNS), ETL/Analytics(Glue, EMR, Athena, Redshift), Infra (Cloud Formation, Cod
- Data engineer- AWSRequirementNo. of positionExperienceLocation JDsData Engineer -AWS15-8Noida, Gurgaon, Hyderabad, Chennai, Pune, Nagpur and Bangalore Must have: Spark & AWS(AWS Lambda, Glue, Step function, Cloud Formation, CDKData engineer- AWSRequirementNo. of positionExperienceLocation JDsData Engineer -AWS15-8Noida, Gurgaon, Hyderabad, Chennai, Pune, Nagpur and Bangalore Must have: Spark & AWS(AWS Lambda, Glue, Step function, Cloud Formation, CDK
- Data Engineering Lead good in handling terabytes of data.Good in Data modelling, AWS, Python, Spark, Snowflake, Spark streaming, Spark Core, Hadoop, Hive, EMR, Jupiter Notebook, Airflow, Glue, Java, Scala, Springboot,( All mentioned skills are mandatory )(in lang of Python or Java. but it would good if person is having both with good coding skill. )Data Engineering Lead good in handling terabytes of data.Good in Data modelling, AWS, Python, Spark, Snowflake, Spark streaming, Spark Core, Hadoop, Hive, EMR, Jupiter Notebook, Airflow, Glue, Java, Scala, Springboot,( All mentioned skills are mandatory )(in lang of Python or Java. but it would good if person is having both with good coding skill. )
- Job Summary This is a Senior Data Engineer role with the following main responsibilities: • Understand the overall domain architecture and manage changes within them • Understand the applications within the domain and become knowledgeable on them • Have proficiency in ETL job process related to EDM platform • Develop big data analytic programs by using Hadoop framework • Able to work independently, self-enabled & motivated personality. • Use the EscalationJob Summary This is a Senior Data Engineer role with the following main responsibilities: • Understand the overall domain architecture and manage changes within them • Understand the applications within the domain and become knowledgeable on them • Have proficiency in ETL job process related to EDM platform • Develop big data analytic programs by using Hadoop framework • Able to work independently, self-enabled & motivated personality. • Use the Escalation
- Our esteem client is hiring for the Data Engineer Role. Location - BangaloreDatabase Exp 4 - 9 Years ResponsibilitiesPlease find below JD for Snowflake. Role - Snowflake Lead/Architect.Location – B/M/H/P/CBand – (8+ yrs. of exp)Candidate must be hands on Snowflake and must able to do solutioning and lead the teamQualification8+ yrs. Of total experience in IT with experience in ETL/Data warehousingMust have 5+ years of relevant experience in solutioning aOur esteem client is hiring for the Data Engineer Role. Location - BangaloreDatabase Exp 4 - 9 Years ResponsibilitiesPlease find below JD for Snowflake. Role - Snowflake Lead/Architect.Location – B/M/H/P/CBand – (8+ yrs. of exp)Candidate must be hands on Snowflake and must able to do solutioning and lead the teamQualification8+ yrs. Of total experience in IT with experience in ETL/Data warehousingMust have 5+ years of relevant experience in solutioning a
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data engineer jobs overview
On this page, you will find a list of our current data engineer jobs and an overview of the typical responsibilities and expectations of a data engineer. You can compare and filter relevant data engineer positions based on specialism, location and salary to find your ideal job match.
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data engineer jobs contract types
Data engineer jobs are available in the following contract types:
- data engineer jobs – permanent: in a permanent position, you work as a data engineer long-term. You are guaranteed a steady income and job security.
- data engineer jobs – contract: in a contract position, you work for a fixed period determined in the employment agreement. You can determine if you enjoy working as a data engineer.
- data engineer jobs – temporary: in a temporary position, you work for the company short-term. You can improve your data modelling and visualisation skills.
- data engineer jobs – full-time: in a full-time position, you work the standard business hours. You will enjoy a regular work schedule.
- data engineer jobs – part-time: in a part-time position, you work reduced hours weekly. Hence, you will have a better work-life balance.
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about data engineer jobs
Data engineer jobs involve designing and building data collection tools. You also ensure the data collection tools adhere to the relevant regulations. Other duties include data modelling and testing data systems for flaws. Your role requires attention to detail, as it's your responsibility to identify mistakes in data systems and ensure the systems meet the company’s needs.
Would you like to know more about this job? Then check out the data engineer job profile page.
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how much does a data engineer make in India?
You will find more information on the data engineer salary on the data engineer job profile page. You can also find the salary for each specific job shown here if you click on the description.
how to apply for data engineer jobs
If you are ready to apply for a data engineer job, take a look at our jobs list, filter to your preference and apply directly. If you require any further assistance applying for a role, feel free to contact your nearest Randstad office and a member of the team will be happy to point you in the right direction.
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how do I apply for a job as a data engineer?
If you are interested in becoming a data engineer, a university degree or an apprenticeship is a great place to begin. For information on the qualifications and relevant education needed for the role, see the 'education and qualifications' section of our data engineer job profile.
To become a data engineer, you require a bachelor’s degree in computer science, data science or software engineering. You will learn the necessary programming skills and data visualisation tools for the role. Some employers require a master’s degree in data science or information science. Consider getting professional certifications, such as AWS Certified Data Analytics or Google Cloud Professional Data Engineer.
In the data engineer job overview, you can submit your application using the "Apply now" button. Your details will be filled in automatically as soon as you’re logged in with your Randstad account. Don’t have an account? No problem – just fill in your details manually.
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does randstad have any tips on how to search for data engineer jobs?
If you can’t find the perfect role for you listed on this page, you’re able to keep up-to-date by using our notification option to alert you when suitable roles become available. Simply enter your details, and as soon as a new data engineer job is available that meets your criteria, you will be informed instantly.