Posted today · be early
Data Engineer
Pull Skil
IndiaremotePosted today
Skill Required
Data-EngineerBig-Data-EngineerData-WarehouseETL-DeveloperCloud-Data-EngineerData-Engineer-JobsData-EngineeringData-Engineering-SpecialistData-Engineering-JobsData-Engineering-PositionsData EngineerData Warehousingdata engineeringData StructuresAirflowETLEngineeringDatabricksSnowflakeCassandradesigninganalyticsRedshiftbuildingPostgreSQLSparkPythonHadoopOracledesignC++ScalajQueryJavaHiveSQLContract
Key highlights
- Contract length: 6+ months.
- Remote work based in India.
- Minimum 3+ years experience as a Data Engineer.
- Requires a Bachelor’s degree in Computer Science or Information Technology (or equivalent).
- Advanced SQL and big‑data pipeline expertise required.
- Data engineering certification is a plus.
Role overview
Responsibilities
- Create and maintain optimal data pipeline architecture.
- Assemble large, complex data sets that meet functional / non-functional business requirements.
- Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
- Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS ‘big data’ technologies.
- Build analytics tools that utilize the data pipeline to provide actionable insights for Information Asset as well as Information Asset Customers’ operational efficiency and other key business performance metrics.
- Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
- Create data tools for analytics to build and optimize offering into an industry leading solution.
- Work with data and analytics experts to strive for greater functionality data systems.
- Build processes supporting data transformation, data structures, metadata, dependency and workload management.
Requirements
- Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
- Experience building and optimizing ‘big data’ data pipelines, architectures and data sets.
- Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
- Strong analytic skills related to working with unstructured datasets.
- A successful history of manipulating, processing and extracting value from large, disconnected datasets.
- Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores.
- Strong project management and organizational skills.
- Excellent writing and verbal communication skills and a high level of customer orientation.
- Bachelor’s degree in computer science or information technology, or equivalent work experience.
- 3+ years as a Data Engineer.
- Must have technical expertise with data models, data mining, and segmentation techniques.
- Experience using any of the following tools and technologies: Relational SQL and NoSQL databases (e.g., Postgres, Cassandra); Data pipeline and workflow management tools (Azkaban, Luigi, Airflow, etc.); Data storage technologies (Amazon S3, Snowflake/Redshift, Hive, HDFS); Stream‑processing systems (Storm, Spark‑Streaming, etc.); Object‑oriented/object‑function scripting languages (Python/pySpark, Java, C++, Scala, etc.); Data warehousing (Oracle, Snowflake); ETL technologies (Apache Spark, AWS Glue, Databricks, Apache Airflow, Apache Hadoop).
- Experience supporting and working with cross‑functional teams in a dynamic environment.
Nice to have
- Data engineering certification (e.g., IBM Certified Data Engineer, AWS Certified Data Analytics – Specialty) is a plus.
Additional details
- Duration: 6+ Months Contract.
- Location: Remote India.
- Working Environment/Travel Requirements: remote working position; expected to work out of a home office with high‑speed internet and phone connection to enable seamless virtual presence.
- Contact: Nick Arthur (Nizam), Associate Director, Recruitment, Pull Skill Technologies India, +91 7416706136, LinkedIn: linkedin.com/in/nick-arthur-83937b62.
- All applicant information will be kept confidential according to EEO guidelines.
- Originally posted on Himalayas.
