Senior Data Engineer at Genesys · Chennai, Hyderabad · 4 - 10 years · ₹10L - ₹40L / yr · Profitable · Posted 18 Jan 2022
Join our team
We're looking for an experienced and passionate Data Engineer to join our team. Our vision is to empower Genesys to leverage data to drive better customer and business outcomes. Our batch and streaming solutions turn vast amounts of data into useful insights. If you’re interested in working with the latest big data technologies, using industry leading BI analytics and visualization tools, and bringing the power of data to our customers’ fingertips then this position is for you!
Our ideal candidate thrives in a fast-paced environment, enjoys the challenge of highly complex business contexts (that are typically being defined in real-time), and, above all, is a passionate about data and analytics.
What you'll get to do
- Work in an agile development environment, constantly shipping and iterating.
- Develop high quality batch and streaming big data pipelines.
- Interface with our Data Consumers, gathering requirements, and delivering complete data solutions.
- Own the design, development, and maintenance of datasets that drive key business decisions.
- Support, monitor and maintain the data models
- Adopt and define the standards and best practices in data engineering including data integrity, performance optimization, validation, reliability, and documentation.
- Keep up-to-date with advances in big data technologies and run pilots to design the data architecture to scale with the increased data volume using cloud services.
- Triage many possible courses of action in a high-ambiguity environment, making use of both quantitative analysis and business judgment.
Your experience should include
- Bachelor’s degree in CS or related technical field.
- 5+ years of experience in data modelling, data development, and data warehousing.
- Experience working with Big Data technologies (Hadoop, Hive, Spark, Kafka, Kinesis).
- Experience with large scale data processing systems for both batch and streaming technologies (Hadoop, Spark, Kinesis, Flink).
- Experience in programming using Python, Java or Scala.
- Experience with data orchestration tools (Airflow, Oozie, Step Functions).
- Solid understanding of database technologies including NoSQL and SQL.
- Strong in SQL queries (experience with Snowflake Cloud Datawarehouse is a plus)
- Work experience in Talend is a plus
- Track record of delivering reliable data pipelines with solid test infrastructure, CICD, data quality checks, monitoring, and alerting.
- Strong organizational and multitasking skills with ability to balance competing priorities.
- Excellent communication (verbal and written) and interpersonal skills and an ability to effectively communicate with both business and technical teams.
- An ability to work in a fast-paced environment where continuous innovation is occurring, and ambiguity is the norm.
Good to have
- Experience with AWS big data technologies - S3, EMR, Kinesis, Redshift, Glue
Shubham Vishwakarma
Full Stack Developer - Averlon
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PythonJob Summary
Role Overview
We are looking for an experienced Data Engineer with strong expertise in Python, ETL, Advanced SQL, CI/CD, DevOps, and Data Analytics. The ideal candidate should have hands-on experience designing and developing scalable data pipelines, transforming large datasets, and supporting data-driven applications.
Experience with Google Cloud Platform (GCP) will be an added advantage.
Key Responsibilities
- Design, develop, and maintain scalable ETL/ELT data pipelines using Python and SQL.
- Develop complex and optimized SQL queries, stored procedures, and data transformations.
- Build and maintain reliable data integration workflows across multiple data sources.
- Perform data cleansing, validation, transformation, and quality checks.
- Analyze data and provide insights to support business and technical requirements.
- Implement and maintain CI/CD pipelines for data engineering applications.
- Work with DevOps practices and tools to automate deployments, monitoring, and infrastructure processes.
- Troubleshoot data pipeline failures, performance issues, and production incidents.
- Optimize data processing workflows for performance, scalability, and reliability.
- Collaborate with Data Analysts, Data Scientists, Developers, and other stakeholders.
- Follow best practices for version control, testing, documentation, and deployment.
- Contribute to cloud-based data engineering initiatives, preferably on GCP.
Required Skills
- 5–7 years of hands-on experience in Data Engineering.
- Strong programming skills in Python.
- Strong expertise in Advanced SQL and database concepts.
- Hands-on experience with ETL/ELT processes and data pipelines.
- Good understanding of Data Warehousing and Data Modeling concepts.
- Experience with CI/CD practices and tools.
- Strong understanding of DevOps principles, automation, and deployment processes.
- Strong data analytics and problem-solving skills.
- Experience working with large datasets and performance optimization.
- Good understanding of Git/version control and software development best practices.
Good to Have
- Hands-on experience with Google Cloud Platform (GCP).
- Exposure to GCP data services such as BigQuery, Cloud Storage, Dataflow, Composer, or Pub/Sub.
- Experience with containerization/orchestration technologies such as Docker/Kubernetes.
- Experience with workflow orchestration tools such as Airflow.
- Knowledge of cloud-based data architecture and distributed data processing.
Preferred Candidate Profile
- Strong analytical and problem-solving abilities.
- Good communication and stakeholder management skills.
- Ability to work independently as well as in a collaborative team environment.
- Strong ownership of data pipelines and production systems.
- Candidates who can join at short notice are preferred.
Mandatory Skills
Data Engineer, Python , ETL, GCP, Advanced SQL, Strong Data Analytics skills, CICD, Devops
PythonJob Description – Data Engineer
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Experience: 9+ Years
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Notice Period: Immediate to 15 Days
Interview Process: 1st Round – Virtual | 2nd Round – F2F
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Amazon Web Services (AWS)🚀 Job Title : Data Engineer – AWS, PySpark & Airflow
Experience : 5+ Years
Industry : Health Insurance / BFSI
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- Develop, maintain, and optimize ETL / ELT pipelines using Python, SQL, Apache Spark, and PySpark.
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- Exposure to Apache Kafka and real-time data streaming.
- Familiarity with GraphQL, Hasura, or similar data-serving technologies.
- Understanding of data governance and data quality frameworks.
- Experience in the BFSI, healthcare, or health insurance domain.
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- 5+ years of relevant experience in Data Engineering.
- Proven hands-on experience building and maintaining production-grade data pipelines on AWS.
- Strong understanding of data lake architecture and large-scale data processing.
- Practical experience with Apache Airflow and Spark / PySpark-based transformations.
- Strong programming, analytical, debugging, and problem-solving skills.
- Experience handling production incidents, pipeline failures, and performance bottlenecks.
- Ability to take ownership of deliverables and work effectively with cross-functional teams.
- Good communication, collaboration, and technical documentation skills.
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- Develop data engineering solutions using Python and Scala.
- Process and transform large volumes of structured and unstructured data.
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JavaPythonJob Title : Data Platform Engineer (SDE 2 / SDE 3)
Experience : 3 to 8 Years (SDE2 : 3 to 5 Years | SDE3 : 5.5 to 8 Years)
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Employment Type : Contract-to-Hire (3 Months)
Mandatory Skills :
Java / Python / Go, SQL, Data Engineering, ETL / ELT, Apache Airflow, Apache Spark / Flink, Kafka, AWS/GCP/Azure, Distributed Systems, API Development, Docker, Kubernetes, CI/CD, System Design
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- Build and maintain scalable ETL/ELT and data processing pipelines.
- Develop backend services and APIs using Java (preferred), Python, or Go.
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- Optimize SQL queries, data models, and distributed data systems.
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- Knowledge of data governance, security, and compliance.
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Python1st virtual , 2nd round F2F
Python pyspark, SQL, data engineer
5+yrs
9+yrs
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immediate to 15days.
PythonStrong Data Engineer (AWS) Profile
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3
Mandatory (Experience 2) – Must have 3+ years of hands-on experience with AWS data engineering services, particularly S3, AWS Glue, EMR, Lambda, and Redshift.
4
Mandatory (Experience 3) – Must have strong programming experience in Python, Java, or Scala, with hands-on development of data processing and pipeline solutions.
5
Mandatory (Experience 4) – Must have strong expertise in SQL, data warehousing, and database technologies, including experience with both SQL and NoSQL databases.
6
Mandatory (Experience 5) – Must have hands-on experience working with Big Data technologies and distributed data processing, including designing and optimizing large-scale data pipelines.
7
Mandatory (Experience 6) – Must have experience with data pipeline troubleshooting, monitoring, data quality, governance, and security best practices.
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Mandatory (Education) – B.Tech / B.E./ M.Tech
Amazon Web Services (AWS)PythonStrong Data Engineer (AWS) Profile
2
Mandatory (Experience 1) – Must have minimum 6+ years of experience in Data Engineering, with strong experience designing, developing, and maintaining scalable data pipelines and ETL processes.
3
Mandatory (Experience 2) – Must have 3+ years of hands-on experience with AWS data engineering services, particularly S3, AWS Glue, EMR, Lambda, and Redshift.
4
Mandatory (Experience 3) – Must have strong programming experience in Python, Java, or Scala, with hands-on development of data processing and pipeline solutions.
5
Mandatory (Experience 4) – Must have strong expertise in SQL, data warehousing, and database technologies, including experience with both SQL and NoSQL databases.
6
Mandatory (Experience 5) – Must have hands-on experience working with Big Data technologies and distributed data processing, including designing and optimizing large-scale data pipelines.
7
Mandatory (Experience 6) – Must have experience with data pipeline troubleshooting, monitoring, data quality, governance, and security best practices.
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Mandatory (Education) – B.Tech / B.E./ M.Tech
PythonJob Summary
We are looking for a skilled and experienced Data Engineer to join our growing data team. The ideal candidate will have strong expertise in Python, PySpark, Data Modeling, and Power BI, with hands-on experience in designing, developing, and optimizing scalable data solutions. The role requires working closely with business stakeholders, data architects, and analytics teams to build robust data pipelines and semantic models that enable data-driven decision-making.
Technical Skills
- Strong hands-on experience in Python and PySpark development.
- Expertise in building and optimizing Data Engineering solutions and ETL pipelines.
- Strong understanding of Data Modeling concepts (Star Schema, Snowflake Schema, Dimensional Modeling).
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- Proficiency in DAX (Data Analysis Expressions).
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- Strong SQL skills and experience working with large datasets.
- Knowledge of data warehousing concepts and best practices.
Preferred Skills
- Experience with cloud platforms such as Azure, AWS, or GCP.
- Exposure to modern data platforms like Databricks.
- Understanding of data governance and data quality frameworks.
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Full Stack Developer - Averlon